Jitendra (Jitu) Kumar
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Softwares:

  1. Kumar, J. (2023). Multivariate Quantitative Representativeness and Constituency Analysis of Ecological Observation Networks (Version 1.0) [Computer software]. https://doi.org/10.5281/zenodo.8048530

  2. Kumar, J. (2023). Representativeness Analysis of LTAR Network (Version 1.0) [Computer software]. https://doi.org/10.5281/zenodo.7539723

  3. Climate Model Data Analysis and Synthesis Toolkit (COMDAST) (Open Source distributed under GNU GPL)

Data sets

    [12] William W. Hargrove, Jitendra Kumar, Steven P. Norman, and Forrest M. Hoffman. Statistically determined global fire regimes (gfrs) empirically characterized using historical modis hotspots, 2022. https://doi.org/10.5281/ZENODO.6522071. [ bib | DOI | http ]
    [11] Jitendra Kumar, Alisa W. Coffin, Claire Baffaut, Guillermo Ponce-Campos, Lindsey Witthaus, and William W. Hargrove. Quantitative representativeness and constituency of the long-term agroecosystem research network, 2022. https://doi.org/10.5281/ZENODO.7106385. [ bib | DOI | http ]
    [10] Shashank Konduri, Amy Breen, William Hargrove, Forrest Hoffman, Colleen Iversen, Verity Salmon, and Jitendra Kumar. Hyperspectral remote sensing-based plant community map for region around NGEE-Arctic intensive research watersheds at Seward Peninsula, Alaska, 2017-2019, 2021. https://doi.org/10.5440/1828604. [ bib | DOI | http ]
    [9] Venkata Konduri, Amy Breen, William Hargrove, Forrest Hoffman, Verity Salmon, Colleen Iversen, Auroop Ganguly, and Jitendra Kumar. Current and projected future distribution of plant community types for the southern seward peninsula, alaska, 2021. https://doi.org/10.5440/1884818. [ bib | DOI | http ]
    [8] Housen Chu, Xiangzhong Luo, Zutao Ouyang, W. Stephen Chan, Sigrid Dengel, Sébastien C. Biraud, Margaret S. Torn, Stefan Metzger, Jitendra Kumar, M. Altaf Arain, Tim J. Arkebauer, Dennis Baldocchi, Carl Bernacchi, Dave Billesbach, T. Andrew Black, Peter D. Blanken, Gil Bohrer, Rosvel Bracho, Shannon Brown, Nathaniel A. Brunsell, Jiquan Chen, Xingyuan Chen, Kenneth Clark, Ankur R. Desai, Tomer Duman, David Durden, Silvano Fares, Inke Forbrich, John A. Gamon, Christopher M. Gough, Timothy Griffis, Manuel Helbig, David Hollinger, Elyn Humphreys, Hiroki Ikawa, Hiroki Iwata, Yang Ju, John F. Knowles, Sara H. Knox, Hideki Kobayashi, Thomas Kolb, Beverly Law, Xuhui Lee, Marcy Litvak, Heping Liu, J. William Munger, Asko Noormets, Kim Novick, Steven F. Oberbauer, Walter Oechel, Patty Oikawa, Shirley A. Papuga, Elise Pendall, Prajaya Prajapati, John Prueger, William L Quinton, Andrew D. Richardson, Eric S. Russell, Russell L. Scott, Gregory Starr, Ralf Staebler, Paul C. Stoy, Ellen Stuart-Haëntjens, Oliver Sonnentag, Ryan C. Sullivan, Andy Suyker, Masahito Ueyama, Rodrigo Vargas, Jeffrey D. Wood, and Donatella Zona. Supplementary Dataset for "Representativeness of Eddy-Covariance Flux Footprints for Areas Surrounding AmeriFlux Sites", 2020. https://doi.org/10.5281/ZENODO.4015350. [ bib | DOI | http ]
    [7] Venkata Shashank Konduri, JItendra Kumar, William W. Hargrove, Forrest M. Hoffman, and Auroop R. Ganguly. Land surface phenology based crop maps for continental united states 2000-2018, 2019. https://doi.org/10.5281/ZENODO.3478335. [ bib | DOI | http ]
    [6] J. Kumar, J. Weiner, W.W. Hargrove, S.P. Norman, F.M. Hoffman, and D. Newcomb. LiDAR-derived Vegetation Canopy Structure, Great Smoky Mountains National Park, 2011, 2018. https://doi.org/10.3334/ornldaac/1286. [ bib | DOI | http ]
    [5] Zachary Langford, Jitendra Kumar, Forrest Hoffman, Colleen Iversen, and Amy Breen. Remote Sensing-Based, 5-m, Vegetation Distributions, Kougarok Study Site, Seward Peninsula, Alaska, ca. 2009 - 2016, 2018. https://doi.org/10.5440/1418854. [ bib | DOI | http ]
    [4] Jitendra Kumar, Forrest Hoffman, William Hargrove, and Nathan Collier. Global 4 km resolution monthly gridded Gross Primary Productivity (GPP) data set derived from FLUXNET2015, 2016. https://doi.org/10.15486/NGT/1279968. [ bib | DOI | http ]
    [3] Jitendra Kumar, Nathan Collier, Gautam Bisht, Richard Mills, Peter Thornton, Colleen Iversen, and Vladimir Romanovsky. Modeling the spatio-temporal variability in subsurface thermal regimes across a low-relief polygonal tundra landscape: Modeling Archive, 2016. https://doi.org/10.5440/1184018. [ bib | DOI | http ]
    [2] Zachary Langford, Jitendra Kumar, and Forrest Hoffman. Remote sensing-based characterization, 2-m, Plant Functional Type Distributions, Barrow Environmental Observatory, 2010, 2014. https://doi.org/10.5440/1123668. [ bib | DOI | http ]
    [1] Jitendra Kumar, Forrest Hoffman, William Hargrove, and Richard Mills. Representativeness-based Sampling Network Design for the State of Alaska, 2013. https://doi.org/10.5440/1108686. [ bib | DOI | http ]

Articles (Journals / Conferences)

2024

    [1] Logan Berner, Kathleen Orndahl, Melissa Rose, Mikkel Tamstorf, Marie Arndal, Dedi Yang, Elyn Humphreys, Michael Loranty, Sarah Ludwig, Johanna Nyman, Sari Juutinen, Mika Aurela, Konsta Happonen, Juha Mikola, Michelle Mack, Mathew Vankoughnett, Colleen Iversen, Verity Salmon, Jitendra Kumar, Paul Grogan, Ryan Danby, Neal Scott, Johan Olofsson, Matthias Siewert, Lucas Deschamps, Esther Lévesque, Scott Goetz, VincentMaire, Amélie Morneault, Gilles Gauthier, Charles Gignac, Stéphane Boudreau, Anna Gaspard, Alexander Kholodov, M. Syndonia Bret-Harte, Heather Greaves, Donald Walker, Fiona Gregory, Anders Michelsen, Timo Kumpula, Miguel Villoslada, Henni Ylänne, Miska Luoto, Tarmo Virtanen, Bruce Forbes, Norbert Hölzel, Howard Epstein, Ramona Heim, Andrew Bunnn, Robert Holmes, Jacqueline Hung, Susan Natali, and Anna-Maria Virkkala. The arctic plant aboveground biomass synthesis dataset. Scientific Data (in review), 2024. [ bib ]
    [2] Z. Wang, J. Kumar, S. Weintraub-Leff, K. Todd-Brown, U. Mishra, and D. Sihi. Upscaling soil organic carbon measurements at the continental scale using multivariate clustering analysis and machine learning. JGR-Biogeosciences (accepted), 2024. [ bib ]

2023

    [1] Venkata Shashank Konduri, Amy L. Breen, William W. Hargrove, Forrest M. Hoffman, Colleen M. Iversen, Verity G. Salmon, and Jitendra Kumar. Scaling from plot to peninsula: High-resolution vegetation type mapping in alaska low arctic tundra. AGU Advances (in review), 2023. [ bib ]
    [2] Jitendra Kumar, Alisa W. Coffin, Claire Baffaut, Guillermo E. Ponce-Campos, Lindsey Witthaus, and William W. Hargrove. Quantitative representativeness and constituency of the long-term agroecosystem research network and analysis of complementarity with existing ecological networks. Environmental Management, 72:705--726, 2023. https://doi.org/10.1007/s00267-023-01834-9. [ bib | DOI | http ]
    [3] B. Sharma, J. Kumar, A. R. Ganguly, and F. M. Hoffman. Carbon cycle extremes accelerate weakening of the land carbon sink in the late 21st century. Biogeosciences, 20(10):1829--1841, 2023. https://doi.org/10.5194/bg-20-1829-2023. [ bib | DOI | http ]

2022

    [1] Bharat Sharma, Jitendra Kumar, Nathan Collier, Auroop R. Ganguly, and Forrest M. Hoffman. Quantifying carbon cycle extremes and attributing their causes under climate and land use and land cover change from 1850 to 2300. Journal of Geophysical Research: Biogeosciences, 127(6), June 2022. https://doi.org/10.1029/2021jg006738. [ bib | DOI | http ]
    [2] Carli A. Arendt, Jeffrey M. Heikoop, Brent D. Newman, Cathy J. Wilson, Haruko Wainwright, Jitendra Kumar, Christian G. Andersen, Nathan A. Wales, Baptiste Dafflon, Jessica Cherry, and Stan D. Wullschleger. Increased arctic NO3- availability as a hydrogeomorphic consequence of permafrost degradation and landscape drying. Nitrogen, 3(2):314--332, May 2022. https://doi.org/10.3390/nitrogen3020021. [ bib | DOI | http ]
    [3] Kimberly A. Novick, Stefan Metzger, William R. L. Anderegg, Mallory Barnes, Daniela S. Cala, Kaiyu Guan, Kyle S. Hemes, David Y. Hollinger, Jitendra Kumar, Marcy Litvak, Danica Lombardozzi, Caroline P. Normile, Patty Oikawa, Benjamin R. K. Runkle, Margaret Torn, and Susanne Wiesner. Informing nature-based climate solutions for the united states with the best-available science. Global Change Biology, 28(12):3778--3794, April 2022. https://doi.org/10.1111/gcb.16156. [ bib | DOI | http ]
    [4] MB Simmonds, WJ Riley, DA Agarwal, X Chen, S Cholia, R Crystal-Ornelas, ET Coon, D Dwivedi, VC Hendrix, M Huang, A Jan, Z Kakalia, J Kumar, CD Koven, L Li, M Melara, L Ramakrishnan, DM Ricciuto, AP Walker, W Zhi, Q Zhu, and C. Varadharajan. Guidelines For Publicly Archiving Terrestrial Model Data to Enhance Usability, Intercomparison, and Synthesis. Data Science Journal, In press:1--18, 2022. https://doi.org/10.5334/dsj-2022-003. [ bib | DOI ]
    [5] M. M. T. A. Pallandt, J. Kumar, M. Mauritz, E. A. G. Schuur, A.-M. Virkkala, G. Celis, F. M. Hoffman, and M. Göckede. Representativeness assessment of the pan-arctic eddy covariance site network and optimized future enhancements. Biogeosciences, 19(3):559--583, 2022. https://doi.org/10.5194/bg-19-559-2022. [ bib | DOI | http ]
    [6] K. E. Bennett, G. Miller, R. Busey, M. Chen, E. R. Lathrop, J. B. Dann, M. Nutt, R. Crumley, S. L. Dillard, B. Dafflon, J. Kumar, W. R. Bolton, C. J. Wilson, C. M. Iversen, and S. D. Wullschleger. Spatial patterns of snow distribution in the sub-arctic. The Cryosphere, 16(8):3269--3293, 2022. https://doi.org/10.5194/tc-16-3269-2022. [ bib | DOI | http ]
    [7] Bharat Sharma, Jitendra Kumar, Auroop R. Ganguly, and Forrest M. Hoffman. Using image processing techniques to identify and quantify spatiotemporal carbon cycle extremes. In 2022 IEEE International Conference on Data Mining Workshops (ICDMW), pages 1136--1143, 2022. https://doi.org/10.1109/ICDMW58026.2022.00148. [ bib | DOI | http ]

2021

    [1] Baptiste Dafflon, S. Wielandt, S. Uhlemann, Haruko Wainwright, K. Bennett, Jitendra Kumar, Sebastien Biraud, Susan Hubbard, and Stan Wullschleger. Revolutionizing observations and predictability of arctic system dynamics through next-generation dense, heterogeneous and intelligent wireless sensor networks with embedded AI. Technical report, DOE BER AI4ESP 2021, April 2021. https://doi.org/10.2172/1769774. [ bib | DOI | http ]
    [2] Richard Mills, Forrest Hoffman, Jitendra Kumar, Robert Jacob, Zachary Langford, Sarat Sreepathi, and Nathan Collier. Computationally tractable high-fidelity representation of global hydrology in ESMs via machine learning approaches to scale-bridging. Technical report, DOE BER AI4ESP 2021, April 2021. https://doi.org/10.2172/1769690. [ bib | DOI | http ]
    [3] Ranjeet Devarakonda, Jitendra Kumar, Dalton Lunga, Jong Choi, and Giri Prakash. AI-driven data discovery to improve earth system predictability. Technical report, DOE BER AI4ESP 2021, April 2021. https://doi.org/10.2172/1769671. [ bib | DOI | http ]
    [4] Giri Prakash, Nicki Hickmon, Adam Theisen, Debjani Singh, Cory Stuart, Ranjeet Devarakonda, and Jitendra Kumar. AI-based upgrades to observational data centers to facilitate data interoperability. Technical report, DOE BER AI4ESP 2021, April 2021. https://doi.org/10.2172/1769667. [ bib | DOI | http ]
    [5] Forrest Hoffman, Jitendra Kumar, Zheng Shi, Anthony Walker, Jiafu Mao, Yaoping Wang, Abigail Swann, James Randerson, Umakant Mishra, Gariel Kooperman, Hchonggang Xu, Charles Koven, David Lawrence, Megan Fowler, Belinda Medlyn, Lianhong Gu, Liz Agee, Jeff Warren, Shawn Serbin, Alistair Rogers, Trevor Keenan, Nate McDowell, Nathan Collier, Sarat Sreepathi, Juan Restrepo, Rick Archibald, Feng Bao, and Richard Mills. AI-constrained bottom-up ecohydrology and improved prediction of seasonal, interannual, and decadal flood and drought risks. Technical report, DOE BER AI4ESP 2021, April 2021. https://doi.org/10.2172/1769668. [ bib | DOI | http ]
    [6] Jitendra Kumar, Forrest Hoffman, and Joel Rowland. Representing the unrepresented impact of river ice on hydrology, biogeochemistry, vegetation, and geomorphology: A hybrid physics-machine learning approach. Technical report, DOE BER AI4ESP 2021, April 2021. https://doi.org/10.2172/1769772. [ bib | DOI | http ]
    [7] K. E. Bennett, G. Miller, R. Busey, M. Chen, E. R. Lathrop, J. B. Dann, M. Nutt, R. Crumley, B. Dafflon, J. Kumar, W. R. Bolton, and C. J. Wilson. Spatial patterns of snow distribution for improved earth system modelling in the arctic. The Cryosphere Discussions, 2021:1--44, 2021. https://tc.copernicus.org/preprints/tc-2021-341/. [ bib | DOI | http ]
    [8] Housen Chu, Xiangzhong Luo, Zutao Ouyang, W. Stephen Chan, Sigrid Dengel, Sébastien C. Biraud, Margaret S. Torn, Stefan Metzger, Jitendra Kumar, M. Altaf Arain, Tim J. Arkebauer, Dennis Baldocchi, Carl Bernacchi, Dave Billesbach, T. Andrew Black, Peter D. Blanken, Gil Bohrer, Rosvel Bracho, Shannon Brown, Nathaniel A. Brunsell, Jiquan Chen, Xingyuan Chen, Kenneth Clark, Ankur R. Desai, Tomer Duman, David Durden, Silvano Fares, Inke Forbrich, John A. Gamon, Christopher M. Gough, Timothy Griffis, Manuel Helbig, David Hollinger, Elyn Humphreys, Hiroki Ikawa, Hiroki Iwata, Yang Ju, John F. Knowles, Sara H. Knox, Hideki Kobayashi, Thomas Kolb, Beverly Law, Xuhui Lee, Marcy Litvak, Heping Liu, J. William Munger, Asko Noormets, Kim Novick, Steven F. Oberbauer, Walter Oechel, Patty Oikawa, Shirley A. Papuga, Elise Pendall, Prajaya Prajapati, John Prueger, William L Quinton, Andrew D. Richardson, Eric S. Russell, Russell L. Scott, Gregory Starr, Ralf Staebler, Paul C. Stoy, Ellen Stuart-Haëntjens, Oliver Sonnentag, Ryan C. Sullivan, Andy Suyker, Masahito Ueyama, Rodrigo Vargas, Jeffrey D. Wood, and Donatella Zona. Representativeness of eddy-covariance flux footprints for areas surrounding ameriflux sites. Agricultural and Forest Meteorology, 301-302:108350, 2021. https://doi.org/10.1016/j.agrformet.2021.108350. [ bib | DOI | http ]

2020

    [1] David J. Durden, Stefan Metzger, Housen Chu, Nathan Collier, Kenneth J. Davis, Ankur R. Desai, Jitendra Kumar, William R. Wieder, Min Xu, and Forrest M. Hoffman. Automated integration of continental-scale observations in near-real time for simulation and analysis of biosphere--atmosphere interaction. In Jeffrey Nichols, Becky Verastegui, Arthur `Barney' Maccabe, Oscar Hernandez, Suzanne Parete-Koon, and Theresa Ahearn, editors, Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, pages 204--225. 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020 (August 26--28, 2020), Springer International Publishing, Cham, December 2020. https://doi.org/10.1007/978-3-030-63393-6\_14. [ bib | DOI ]
    [2] Venkata Shashank Konduri, Jitendra Kumar, William W. Hargrove, Forrest M. Hoffman, and Auroop R. Ganguly. Mapping crops within the growing season across the united states. Remote Sensing of Environment, 251:112048, December 2020. https://doi.org/10.1016/j.rse.2020.112048. [ bib | DOI | PDF | http ]
    [3] Sarat Sreepathi, Min Xu, Nathan Collier, Jitendra Kumar, Jiafu Mao, and Forrest M. Hoffman. Land model testbed: Accelerating development, benchmarking and analysis of land surface models. In Proceedings of the Gateways 2020 Conference. Open Science Framework, October 2020. https://doi.org/10.17605/OSF.IO/X32A8. [ bib | DOI ]
    [4] Amadini Jayasinghe, Scott Elliott, Anastasia Piliouras, Jaclyn Clement Kinney, Georgina Gibson, Nicole Jeffery, Forrest Hoffman, Jitendra Kumar, and Oliver Wingenter. Modeling functional organic chemistry in arctic rivers: An idealized siberian system. Atmosphere, 11(10):1090, October 2020. https://doi.org/10.3390/atmos11101090. [ bib | DOI | PDF | http ]
    [5] Linnia Hawkins, Jitendra Kumar, Xiangzhong Luo, Debjani Sihi, and Sha Zhou. Measuring, monitoring, and modeling ecosystem cycling. Eos, 101, August 2020. https://doi.org/10.1029/2020eo147717. [ bib | DOI | PDF | http ]

2019

    [1] R. Devarakonda, G. Prakash, K. Guntupally, and J. Kumar. Big federal data centers implementing fair data principles: Arm data center example. In 2019 IEEE International Conference on Big Data (Big Data), pages 6033--6036, Dec 2019. https://doi.org/10.1109/BigData47090.2019.9006051. [ bib | DOI | PDF ]
    [2] J. Kumar, M. C. Crow, R. Devarakonda, M. Giansiracusa, K. Guntupally, J. V. Olatt, Z. Price, H. A. Shanafield, and A. Singh. Provenance–aware workflow for data quality management and improvement for large continuous scientific data streams. In 2019 IEEE International Conference on Big Data (Big Data), pages 3260--3266, 2019. 10.1109/BigData47090.2019.9006358. [ bib | DOI | PDF ]
    [3] Z. L. Langford, J. Kumar, and F. M. Hoffman. Deep transfer learning with field-based measurements for large area classification. In 2019 International Conference on Data Mining Workshops (ICDMW), pages 262--269, Nov 2019. htps://doi.org/10.1109/ICDMW.2019.00047. [ bib | DOI | PDF ]
    [4] Y. Lu and J. Kumar. Convolutional neural networks for hydrometeor classification using dual polarization doppler radars. In 2019 International Conference on Data Mining Workshops (ICDMW), pages 288--295, Nov 2019. https://doi.org/10.1109/ICDMW.2019.00050. [ bib | DOI | PDF ]
    [5] Verity G. Salmon, Amy L. Breen, Jitendra Kumar, Mark J. Lara, Peter E. Thornton, Stan D. Wullschleger, and Colleen M. Iversen. Alder distribution and expansion across a tundra hillslope: Implications for local n cycling. Frontiers in Plant Science, 10:1099, 2019. 10.3389/fpls.2019.01099. [ bib | DOI | PDF | http ]
    [6] Yihui Wang, Fengming Yuan, Fenghui Yuan, Baohua Gu, Melanie S. Hahn, Margaret S. Torn, Daniel M. Ricciuto, Jitendra Kumar, Liyuan He, Donatella Zona, David A. Lipson, Robert Wagner, Walter C. Oechel, Stan D. Wullschleger, Peter E. Thornton, and Xiaofeng Xu. Mechanistic Modeling of Microtopographic Impacts on CO2 and CH4 Fluxes in an Alaskan Tundra Ecosystem Using the CLM-Microbe Model. Journal of Advances in Modeling Earth Systems, 2019. https://doi.org/10.1029/2019MS001771. [ bib | DOI | arXiv | PDF | http ]
    [7] Zachary L. Langford, Jitendra Kumar, Forrest M. Hoffman, Amy L. Breen, and Colleen M. Iversen. Arctic vegetation mapping using unsupervised training datasets and convolutional neural networks. Remote Sensing, 11(1):69, January 2019. https;//doi.org/10.3390/rs11010069. [ bib | DOI | PDF ]
    [8] Yasemin Ergüner, Jitendra Kumar, Forrest M. Hoffman, H. Nüzhet Dalfes, and William W. Hargrove. Mapping ecoregions under climate change: a case study from the biological `crossroads' of three continents, turkey. Landscape Ecology, 34(1):35--50, Jan 2019. https://doi.org/10.1007/s10980-018-0743-8. [ bib | DOI | PDF | http ]

2018

    [1] Zachary L. Langford, Jitendra Kumar, and Forrest M. Hoffman. Wildfire mapping in Interior Alaska using deep neural networks on imbalanced datasets. In Proceedings of the 2018 IEEE International Conference on Data Mining Workshops (ICDMW 2018). Institute of Electrical and Electronics Engineers (IEEE), Conference Publishing Services (CPS), November 2018. https://doi.org/10.1109/ICDMW.2018.00116. [ bib | DOI ]
    [2] Yuping Lu, Jitendra Kumar, Nathan Collier, Bhargavi Krishna, and Michael Langston. Detecting outliers in streaming time series data from arm distributed sensors. In Proceedings of the 2018 IEEE International Conference on Data Mining Workshops (ICDMW 2018). Institute of Electrical and Electronics Engineers (IEEE), Conference Publishing Services (CPS), November 2018. https://doi.org/10.1109/ICDMW.2018.00117. [ bib | DOI ]
    [3] Richard Tran Mills, Vamsi Sripathi, Jitendra Kumar, Sarat Sreepathi, Forrest M. Hoffman, and William W. Hargrove. Parallel k-means clustering of geospatial data sets using Manycore CPU architectures. In Proceedings of the 2018 IEEE International Conference on Data Mining Workshops (ICDMW 2018). Institute of Electrical and Electronics Engineers (IEEE), Conference Publishing Services (CPS), November 2018. https://doi.org/10.1109/ICDMW.2018.00118. [ bib | DOI ]
    [4] R. Devarakonda, M. Giansiracusa, and J. Kumar. Machine learning and social media to mine and disseminate big scientific data. In 2018 IEEE International Conference on Big Data (Big Data), pages 5312--5315, Dec 2018. https://doi.org/10.1109/BigData.2018.8622470. [ bib | DOI ]

2017

    [1] R. Devarakonda, M. Giansiracusa, J. Kumar, and H. Shanafield. Social media based NPL system to find and retrieve ARM data: Concept paper. In 2017 IEEE International Conference on Big Data (Big Data), pages 4736--4737, Dec 2017. https://doi.org/10.1109/BigData.2017.8258525. [ bib | DOI ]
    [2] Sarat Sreepathi, Jitendra Kumar, Forrest Hoffman, Richard Mills, Vamsi Sripathi, and William Hargrove. Parallel multivariate spatio-temporal clustering of large ecological datasets on hybrid supercomputers. In 2017 IEEE Cluster Conference, Sep 2017. https://doi.org/10.1109/CLUSTER.2017.88. [ bib | DOI | PDF ]
    [3] Xia Song, Forrest M. Hoffman, Colleen M. Iversen, Yunhe Yin, Jitendra Kumar, Chun Ma, and Xiaofeng Xu. Significant inconsistency of vegetation carbon density in cmip5 earth system models against observational data. Journal of Geophysical Research: Biogeosciences, 122(9):2282--2297, 2017. https://doi.org/10.1002/2017JG003914. [ bib | DOI | arXiv | http ]
    [4] Z. L. Langford, J. Kumar, and F. M. Hoffman. Convolutional neural network approach for mapping arctic vegetation using multi-sensor remote sensing fusion. In 2017 IEEE International Conference on Data Mining Workshops (ICDMW), pages 322--331, Nov 2017. https://doi.org/10.1109/ICDMW.2017.48. [ bib | DOI ]

2016

    [1] J. Kumar, F. M. Hoffman, W. W. Hargrove, and N. Collier. Understanding the representativeness of FLUXNET for upscaling carbon flux from eddy covariance measurements. Earth System Science Data Discussion, 2016:1--25, August 2016. https://doi.org/10.5194/essd-2016-36. [ bib | DOI | PDF ]
    [2] G. Tang, F. Yuan, G. Bisht, G. E. Hammond, P. C. Lichtner, J. Kumar, R. T. Mills, X. Xu, B. Andre, F. M. Hoffman, S. L. Painter, and P. E. Thornton. Addressing numerical challenges in introducing a reactive transport code into a land surface model: a biogeochemical modeling proof-of-concept with CLM–PFLOTRAN 1.0. Geoscientific Model Development, 9(3):927--946, 2016. https://doi.org/10.5194/gmd-9-927-2016. [ bib | DOI | PDF | http ]
    [3] G. Prakash, J. Kumar, E. Rush, R. Records, A. Clodfelter, and J. Voyles. HPC infrastructure to support the next-generation ARM facility data operations. In 2016 IEEE International Conference on Big Data (Big Data), pages 4026--4028, Dec 2016. https://doi.org/10.1109/BigData.2016.7841098. [ bib | DOI | PDF ]
    [4] Zachary Langford, Jitendra Kumar, Forrest M. Hoffman, Richard J. Norby, Stan D. Wullschleger, Victoria L. Sloan, and Colleen M. Iversen. Mapping arctic plant functional type distributions in the barrow environmental observatory using worldview-2 and lidar datasets. Remote Sensing, 8(9):733, 2016. https://doi.org/10.3390/rs8090733. [ bib | DOI | PDF | http ]
    [5] J. Kumar, N. Collier, G. Bisht, R. T. Mills, P. E. Thornton, C. M. Iversen, and V. Romanovsky. Modeling the spatiotemporal variability in subsurface thermal regimes across a low-relief polygonal tundra landscape. The Cryosphere, 10(5):2241--2274, 2016. https://doi.org/10.5194/tc-10-2241-2016. [ bib | DOI | PDF | http ]
    [6] Ben Bond-Lamberty, Daniel Epron, Jennifer Harden, Mark E. Harmon, Forrest Hoffman, Jitendra Kumar, Anthony David McGuire, and Rodrigo Vargas. Estimating heterotrophic respiration at large scales: challenges, approaches, and next steps. Ecosphere, 7(6), 2016. http://dx.doi.org/10.1002/ecs2.1380. [ bib | DOI | PDF | http ]

2015

    [1] Jitendra Kumar, Jon Weiner, William W. Hargrove, Steven P. Norman, Forrest M. Hoffman, and Doug Newcomb. Characterization and classification of vegetation canopy structure and distribution within the Great Smoky Mountains National Park using LiDAR. In Peng Cui, Jennifer Dy, Charu Aggarwal, Zhi-Hua Zhou, Alexander Tuzhilin, Hui Xiong, and Xindong Wu, editors, Proceedings of the 15th IEEE International Conference on Data Mining Workshops (ICDMW 2015), pages 1478--1485. Institute of Electrical and Electronics Engineers (IEEE), Conference Publishing Services (CPS), November 2015. https;//10.1109/ICDMW.2015.178. [ bib | DOI | PDF ]
    [2] Jeffrey M. Warren, Paul J. Hanson, Colleen M. Iversen, Jitendra Kumar, Anthony P. Walker, Stan D. Wullschleger, Jeffrey Warren, Paul Hanson, Colleen Iversen, Jitendra Kumar, Anthony Walker, and Stan Wullschleger. Root structural and functional dynamics in terrestrial biosphere models: evaluation and recommendations. New Phytologist, 205(1):59--78, 2015. https://doi.org/10.1111/nph.13034. [ bib | DOI | PDF | http ]
    [3] Kristina J. Anderson-Teixeira, Stuart J. Davies, Amy C. Bennett, Erika B. Gonzalez-Akre, Helene C. Muller-Landau, S. Joseph Wright, Kamariah Abu Salim, Angẽlica M. Almeyda Zambrano, Alfonso Alonso, Jennifer L. Baltzer, Yves Basset, Norman A. Bourg, Eben N. Broadbent, Warren Y. Brockelman, Sarayudh Bunyavejchewin, David F. R. P. Burslem, Nathalie Butt, Min Cao, Dairon Cardenas, George B. Chuyong, Keith Clay, Susan Cordell, Handanakere S. Dattaraja, Xiaobao Deng, Matteo Detto, Xiaojun Du, Alvaro Duque, David L. Erikson, Corneille E.N. Ewango, Gunter A. Fischer, Christine Fletcher, Robin B. Foster, Christian P. Giardina, Gregory S. Gilbert, Nimal Gunatilleke, Savitri Gunatilleke, Zhanqing Hao, William W. Hargrove, Terese B. Hart, Billy C.H. Hau, Fangliang He, Forrest M. Hoffman, Robert W. Howe, Stephen P. Hubbell, Faith M. Inman-Narahari, Patrick A. Jansen, Mingxi Jiang, Daniel J. Johnson, Mamoru Kanzaki, Abdul Rahman Kassim, David Kenfack, Staline Kibet, Margaret F. Kinnaird, Lisa Korte, Kamil Kral, Jitendra Kumar, Andrew J. Larson, Yide Li, Xiankun Li, Shirong Liu, Shawn K.Y. Lum, James A. Lutz, Keping Ma, Damian M. Maddalena, Jean-Remy Makana, Yadvinder Malhi, Toby Marthews, Rafizah Mat Serudin, Sean M. McMahon, William J. McShea, Hervè R. Memiaghe, Xiangcheng Mi, Takashi Mizuno, Michael Morecroft, Jonathan A. Myers, Vojtech Novotny, Alexandre A. de Oliveira, Perry S. Ong, David A. Orwig, Rebecca Ostertag, Jan den Ouden, Geoffrey G. Parker, Richard P. Phillips, Lawren Sack, Moses N. Sainge, Weiguo Sang, Kriangsak Sri-ngernyuang, Raman Sukumar, I-Fang Sun, Witchaphart Sungpalee, Hebbalalu Sathyanarayana Suresh, Sylvester Tan, Sean C. Thomas, Duncan W. Thomas, Jill Thompson, Benjamin L. Turner, Maria Uriarte, Renato Valencia, Marta I. Vallejo, Alberto Vicentini, Tomàš Vrška, Xihua Wang, Xugao Wang, George Weiblen, Amy Wolf, Han Xu, Sandra Yap, and Jess Zimmerman. CTFS-ForestGEO: a worldwide network monitoring forests in an era of global change. Global Change Biology, 21(2):528--549, 2015. http://dx.doi.org/10.1111/gcb.12712. [ bib | DOI | PDF | http ]

2013

    [1] Richard Tran Mills, Jitendra Kumar, Forrest Hoffman, William Hargrove, Joseph P. Spruce, and Steve P. Norman. Identification and visualization of dominant patterns and anomalies in remotely sensed vegetation phenology using a parallel tool for principal components analysis. Proceedings of the 2013 International Conference on Computational Science, 2013. https://doi.org/10.1016/j.procs.2013.05.411. [ bib | DOI | PDF ]
    [2] Forrest M. Hoffman, Jitendra Kumar, Richard T. Mills, and William W. Hargrove. Representativeness-based sampling network design for the State of Alaska. Landscape Ecology, 28(8):1567--1586, 2013. https://doi.org/10.1007/s10980-013-9902-0. [ bib | DOI | PDF ]
    [3] Forrest M. Hoffman, Jitendra Kumar, Stan D. Wullschleger, Larry D. Hinzman, and Edward A. G. Schuur. A model-inspired sampling network design and representativeness methodology for the arctic. In Arctic Observing Summit (AOS) 2013, 2013. [ bib ]
    [4] William M. Christie, William W. Hargrove, Steven P. Norman, Joseph P. Spruce, Jitendra Kumar, Forrest Hoffman, and Sean W. Schroeder. ForWarn Forest Change Detection System Provides a Weekly Snapshot of US Forest Conditions to Aid Forest Managers. In 9th Southern Forestry and Natural Resource Management GIS Conference, Athens, GA, December 8--10, 2013. [ bib ]

2012

    [1] Jitendra Kumar, Bjørn-Gustaf J. Brooks, Peter E. Thornton, and Michael C. Dietze. Sub-daily statistical downscaling of meteorological variables using neural networks. Procedia Computer Science, 9(0):887 -- 896, 2012. Proceedings of the International Conference on Computational Science, ICCS 2012. [ bib | DOI | PDF | http ]
    [2] Jitendra Kumar, E. D. Brill, G. Mahinthakumar, and S. Ranji Ranjithan. Contaminant source characterization in water distribution systems using filtered sensor data. Journal of Hydroinformatics, Vol 14 No 3:585--602, 2012. https://doi.org/10.2166/hydro.2012.073. [ bib | DOI | PDF ]

2011

    [1] Richard Tran Mills, Forrest M. Hoffman, Jitendra Kumar, and William W. Hargrove. Cluster analysis-based approaches for geospatiotemporal data mining of massive data sets for identification of forest threats. In Mitsuhisa Sato, Satoshi Matsuoka, Peter M. Sloot, G. Dick van Albada, and Jack Dongarra, editors, Proceedings of the International Conference on Computational Science (ICCS 2011), volume 4 of Procedia Computer Science, pages 1612--1621, Singapore, June 2011. Elsevier. https://doi.org/10.1016/j.procs.2011.04.174. [ bib | DOI | PDF ]
    [2] Jitendra Kumar, Richard Tran Mills, Forrest M. Hoffman, and William W. Hargrove. Parallel k-means clustering for quantitative ecoregion delineation using large data sets. In Mitsuhisa Sato, Satoshi Matsuoka, Peter M. Sloot, G. Dick van Albada, and Jack Dongarra, editors, Proceedings of the International Conference on Computational Science (ICCS 2011), volume 4 of Procedia Computer Science, pages 1602--1611, Singapore, June 2011. Elsevier. https://doi.org/10.1016/j.procs.2011.04.173. [ bib | DOI | PDF ]
    [3] Forrest M. Hoffman, J. Walter Larson, Richard Tran Mills, Bjørn-Gustaf J. Brooks, Auroop R. Ganguly, William W. Hargrove, Jian Huang, Jitendra Kumar, and Ranga R. Vatsavai. Data Mining in Earth System Science (DMESS 2011). In Mitsuhisa Sato, Satoshi Matsuoka, Peter M. Sloot, G. Dick van Albada, and Jack Dongarra, editors, Proceedings of the International Conference on Computational Science (ICCS 2011), volume 4 of Procedia Computer Science, pages 1450--1455, Singapore, June 2011. Elsevier. https://doi.org/10.1016/j.procs.2011.04.157. [ bib | DOI | PDF ]

2010

    [1] Forrest M. Hoffman, Richard T. Mills, Jitendra Kumar, Srinivasa S. Vulli, and William W. Hargrove. Geospatiotemporal data mining in an early warning system for forest threats in the united states. In Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2010), Honolulu, Hawaii (Invited), July 25-30 2010 2010. https://doi.org/10.1109/IGARSS.2010.5653935. [ bib | DOI | PDF ]
    [2] Jitendra Kumar. Asynchronous Hierarchical Parallel Evolutionary Algorithm-Based Framework for Water Distribution Systems Analysis. PhD thesis, North Carolina State University, 2010. [ bib | http ]
    [3] Jitendra Kumar, Sarat Sreepathi, E. Downey Brill, Ranji Ranjithan, and G. Mahinthakumar. Detection of leaks in water distribution system using routine water quality measurements. In Richard N. Palmer, editor, World Environmental and Water Resources Congress 2010, Providence, Rhode Island, volume 371, pages 426--426. ASCE, 2010. https://doi.org/10.1061/41114(371)426. [ bib | DOI | http ]
    [4] Jitendra Kumar, E. Downey Brill, G. Mahinthakumar, and Ranji Ranjithan. Identification of reactive contaminant sources in a water distribution system under the conditions of data uncertainties. In Richard N. Palmer, editor, World Environmental and Water Resources Congress 2010, Providence, Rhode Island, volume 371, pages 442--442. ASCE, 2010. https://doi.org/10.1061/41114(371)442. [ bib | DOI | http ]

2009

    [1] Jitendra Kumar, E. Downey Brill, G Mahinthakumar, and Ranji Ranjithan. Characterizing reactive contaminant sources in a water distribution system. In Steve Starrett, editor, World Environmental and Water Resources Congress 2009, Kansas City, Missouri, volume 342, pages 65--65. ASCE, 2009. https://doi.org/10.1061/41036(342)65. [ bib | DOI | PDF | http ]

2008

    [1] Jitendra Kumar, E. Downey Brill, S. Ranji Ranjithan, G. Mahinthakumar, and J. Uber. Source identification for contamination events involving reactive contaminant. In Roger W. Babcock, Jr, and Raymond Walton, editors, World Environmental and Water Resources Congress 2008, Honolulu, Hawaii, volume 316, pages 504--504. ASCE, 2008. https://doi.org/10.1061/40976(316)504. [ bib | DOI | PDF | http ]

2007

    [1] Li Liu, F. Shang, Jitendra Kumar, E. D. Brill, E. M. Zechman, J. Uber, G. Mahinthakumar, and S. Ranjithan. Coupling adaptive dynamic optimization procedure with pre-screening techniques for contaminant source characterization in water distribution systems. In World Environmental and Water Resources Congress 2007, Tampa, Florida. ASCE, 2007. [ bib | http ]
    [2] Jitendra Kumar, E. M. Zechman, E. D. Brill, G. Mahinthakumar, S. Ranjithan, and J. Uber. Addressing non-uniqueness in contaminant source characterization for multiple contaminant source scenario in water distribution systems. In World Environmental and Water Resources Congress 2007, Tampa, Florida. ASCE, 2007. [ bib | http ]
    [3] Jitendra Kumar, E. M. Zechman, E. D. Brill, G. Mahinthakumar, S. Ranjithan, and J. Uber. Evaluation of non-uniqueness in contaminant source characterization based on sensors with event detection methods. In Karen C. Kabbes, editor, World Environmental and Water Resources Congress 2007, Tampa, Florida, volume 243, pages 513--513. ASCE, 2007. https://doi.org/10.1061/40927(243)513. [ bib | DOI | PDF | http ]

2006

    [1] Jitendra Kumar, Manfred Ostrowski, and Ashu Jain. A SWOT analysis of ANN versus conceptual physically oriented modeling based on lysimeter data. In Proceedings of 7th International Conference on Hydroinformatics, Nice, France, 2006. [ bib | PDF ]
    [2] Jitendra Kumar, Ashu Jain, and Rajesh Srivastava. Neural network based solutions for locating groundwater pollution source. Hydrology Journal, Indian Association of Hydrologists, 29(1-2):55--66, 2006. [ bib | PDF | http ]

2005

    [1] Jitendra Kumar, Ashu Jain, and Rajesh Srivastava. Estimating grounwater pollution source location from observed breakthrough curve using neural networks. In Bhanu Prasad, editor, Proceedings of 2nd Indian International Conference on Artificial Intelligence (IICAI-05), pages 1004--1017, 2005. [ bib | PDF ]

Conference/Meeting Abstracts/Presentations

2022

    [1] Jitendra Kumar, Alisa Coffin, Claire Baffaut, Guillermo Ponce-Campos, Lindsey Yasarer, and William W. Hargrove. Quantitative assessment of representativeness of the Long-Term Agroecological Research (LTAR) Network of sites. (April 11--15, 2022), Virtual, April 2022. [ bib ]

2021

    [1] Stefan Metzger, Ankur R Desai, David Durden, Kyle S Hemes, Jitendra Kumar, Bailey Murphy, Patty Y Oikawa, Kimberly A Novick, and Susanne Wiesner. Exploring Natural Climate Solutions: Could flux towers be useful at industrial scales? Abstract B14D-08 presented at the 2021 American Geophysical Union (AGU) Fall Meeting (December 13--17, 2021), New Orleans, LA, USA, December 2021. [ bib ]
    [2] Morgan Steckler, Bharat Sharma, Forrest M. Hoffman, William Walter Hargrove, , and Jitendra Kumar. Effects of meteorological and ecological disturbances on tropical vegetation phenology. Abstract B33D-04 presented at the 2021 American Geophysical Union (AGU) Fall Meeting (December 13--17, 2021), New Orleans, LA, USA, December 2021. [ bib ]
    [3] Debjani Sihi, Jitendra Kumar, Zhuonan Wang, and Samantha R Weintraub-Leff. Upscaling Soil Organic Carbon Measurements from NEON Terrestrial Sites to CONUS using a Multivariate Quantitative Method. Abstract B34B-06 presented at the 2021 American Geophysical Union (AGU) Fall Meeting (December 13--17, 2021), New Orleans, LA, USA, December 2021. [ bib ]
    [4] Bharat Sharma, Forrest M. Hoffman, Jitendra Kumar, and Auroop R. Ganguly. Investigating Variability in the Intensity, Direction, and Spatial Distribution of Carbon Cycle Extremes and Attribution to Climate Drivers Using Observations and CMIP6 Earth System Models. Abstract B55G-1274 presented at the 2021 American Geophysical Union (AGU) Fall Meeting (December 13--17, 2021), New Orleans, LA, USA, December 2021. [ bib ]
    [5] Kimberly A Novick, Stefan Metzger, Kyle S Hemes, William Anderegg, Mallory Barnes, Daniela Cala, Kaiyu Guan, David Y Hollinger, Jitendra Kumar, Marcy E Litvak, Danica L. Lombardozzi, Caroline Normile, Patty Y Oikawa, Benjamin Runkle, Susanne Wiesner, and Margaret S Torn. Informing Nature-based Climate Solutions with the best-available science: a research agenda for the land-atmosphere flux community. Abstract GC44B-03 presented at the 2021 American Geophysical Union (AGU) Fall Meeting (December 13--17, 2021), New Orleans, LA, USA, December 2021. [ bib ]
    [6] Richard T. Mills, Zachary L. Langford, Jitendra Kumar, and Forrest M. Hoffman. Wildfire Classification using PETSc-based Support Vector Machines on Distributed-Memory GPU-based Parallel Computers. Abstract IN11C-04 presented at the 2021 American Geophysical Union (AGU) Fall Meeting (December 13--17, 2021), New Orleans, LA, USA, December 2021. [ bib ]
    [7] Jitendra Kumar, William W. Hargrove, Steven P. Norman, and William C. Christie. Hurricane Michael: remote sensing-based assessment of vegetation damage, severity and recovery. Abstract NH44A-03 presented at the 2021 American Geophysical Union (AGU) Fall Meeting (December 13--17, 2021), New Orleans, LA, USA, December 2021. [ bib ]
    [8] Jitendra Kumar, William W. Hargrove, Steven P. Norman, and William M. Christie. Hurricane Michael: remote sensing-based assessment of vegetation damage, severity and recovery. (April 12--16, 2021), Virtual, April 2020. [ bib ]
    [9] William Hargrove, Jitendra Kumar, and Steve Norman. Empirical Global Fire Regimes Identify Common Fire Relationships Across the Planet. (April 12--16, 2021), Virtual, April 2020. [ bib ]

2020

    [1] Katrina E Bennett, Joel C Rowland, Aubrey L Dugger, Vladimir A Alexeev, Alec P Bennett, Bob Bolton, Diana L Bull, Jessica E Cherry, Ethan Coon, Carl Dierking, Hajo Eicken, Meredydd Evans, Forrest M. Hoffman, Benjamin M Jones, Nicole Jeffery, Jitendra Kumar, Olivia Astillero Lee, Emily Niebuhr, Anastasia Piliouras, Jon Schwenk, Kurt Solander, and David P Streubel. Collaboration to better understand Arctic change. Abstract SY023-0020 presented at the 2020 American Geophysical Union (AGU) Fall Meeting (December 1--17, 2020), Washington, D.C., USA, December 2020. [ bib ]
    [2] Sarat Sreepathi, Min Xu, Nathan Collier, Jitendra Kumar, Jiafu Mao, and Forrest M. Hoffman. Land Model Testbed: Accelerating Development, Benchmarking and Analysis of Land Surface Models. Abstract IN032-04L presented at the 2020 American Geophysical Union (AGU) Fall Meeting (December 1--17, 2020), Washington, D.C., USA, December 2020. [ bib ]
    [3] Jitendra Kumar, Morgan Steckler, William W. Hargrove, and Forrest M. Hoffman. Understanding phenology of diverse tropical vegetation using high spatio-temporal resolution remote sensing. Abstract B116-0026 presented at the 2020 American Geophysical Union (AGU) Fall Meeting (December 1--17, 2020), Washington, D.C., USA, December 2020. [ bib ]
    [4] Bharat Sharma, Forrest M. Hoffman, Jitendra Kumar, and Auroop R. Ganguly. Detection and Attribution of Climate-Driven Extremes in Net Biome Productivity from 1850 through 2100. Abstract B019-0009 presented at the 2020 American Geophysical Union (AGU) Fall Meeting (December 1--17, 2020), Washington, D.C., USA, December 2020. [ bib ]
    [5] Amadini Mendis Jayasinghe, Scott Elliott, Anastasia Piliouras, Jaclyn L Clement Kinney, Georgina Gibson, Nicole Jeffery, Forrest M. Hoffman, Jitendra Kumar, and Oliver W Wingenter. Dissolved Organic Carbon in Arctic Rivers: Reduced Model with Functional Groups. Abstract B019-0005 presented at the 2020 American Geophysical Union (AGU) Fall Meeting (December 1--17, 2020), Washington, D.C., USA, December 2020. [ bib ]
    [6] Venkata Shashank Konduri, Jitendra Kumar, Forrest Hoffman, Verity G. Salmon, Colleen M. Iversen, Amy L. Breen, and William W. Hargrove. Understanding the Patterns and Drivers of Arctic Tundra Plant Communities. Abstract B102-07 presented at the 2020 American Geophysical Union (AGU) Fall Meeting (December 1--17, 2020), Washington, D.C., USA, December 2020. [ bib ]
    [7] William W. Hargrove, Jitendra Kumar, and Steven P Norman. Empirical Approach for Statistically Delineating Shared Global Fire Regimes. Abstract B044-03A presented at the 2020 American Geophysical Union (AGU) Fall Meeting (December 1--17, 2020), Washington, D.C., USA, December 2020. [ bib ]

2019

    [1] Jitendra Kumar and Zach Price. JupyterLab for the DOE Atmospheric Research Measurement Facility. Jupyter Community Workshop: Jupyter for Science User Facilities and High Performance Computing, Berkeley, CA, USA, June 11--13 2019. [ bib ]
    [2] Zach Price and Jitendra Kumar. HPC in the Browser That Your System Administrator Won't Hate. Jupyter Community Workshop: Jupyter for Science User Facilities and High Performance Computing, Berkeley, CA, USA, June 11--13 2019. [ bib ]
    [3] Jitendra Kumar, Zach Price, Anthony Clodfelter, Robert Records, and Giri Prakash. Integrated Cloud and High-Performance Computing Platform for Interactive Analysis of ARM Data. 2019 ARM/ASR PI Meeting, Washington, D.C., USA, June 10--13 2019. [ bib ]
    [4] Yuping Lu and Jitendra Kumar. Deep Convolutional Neural Networks for Hydrometeor Classification Using Dual Polarization Doppler Radars. 2019 ARM/ASR PI Meeting, Washington, D.C., USA, June 10--13 2019. [ bib ]
    [5] Sarat Sreepathi, Jitendra Kumar, Forrest M. Hoffman, Richard T. Mills, Vamsi Sripathi, and William W. Hargrove. EarthInsights: Parallel Clustering of Large Earth Science Datasets on the Summit Supercomputer. 1st Workshop on Leveraging Artificial Intelligence (AI) in the Exploitation of Satellite Earth Observations & Numerical Weather Prediction (NWP), NOAA Center for Weather and Climate Prediction, College Station, Maryland, USA, April 23--25 2019. [ bib ]
    [6] Jitendra Kumar, Forrest M. Hoffman, Zachary L. Langford, Amy L. Breen, and Colleen M. Iversen. Machine Learning Approach to Understanding Vegetation Distribution and Dynamics Using High Resolution Remote Sensing. 1st Workshop on Leveraging Artificial Intelligence (AI) in the Exploitation of Satellite Earth Observations & Numerical Weather Prediction (NWP), NOAA Center for Weather and Climate Prediction, College Station, Maryland, USA, April 23--25 2019. [ bib ]
    [7] William Hargrove, Jitendra Kumar, and Steven P. Norman. Using Non-Linear Temporal Rubber-Sheeting to Directly Compare Phenological Profiles and to Interpolate Missing NDVI Values. 2019 Annual Meeting, US-International Association for Landscape Ecology (IALE), Fort Collins, CO, USA, April 7-11 2019. [ bib ]
    [8] Jitendra Kumar, William Hargrove, Forrest M. Hoffman, and Steven P. Norman. Predominant Environmental Factors Controlling and Predicting Phenological Seasonality. 2019 Annual Meeting, US-International Association for Landscape Ecology (IALE), Fort Collins, CO, USA, April 7-11 2019. [ bib ]
    [9] Forrest M. Hoffman, Zachary L. Langford, and Jitendra Kumar. Wildfire Mapping in Interior Alaska Using Deep Neural Networks on Imbalanced Datasets. 2019 Annual Meeting, US-International Association for Landscape Ecology (IALE), Fort Collins, CO, USA, April 7-11 2019. [ bib ]
    [10] Venkata Shashank Konduri, Jitendra Kumar, William W. Hargrove, and Forrest M. Hoffman. Using the Concept of Ecoregions for Large Area Crop Mapping. 2019 Annual Meeting, US-International Association for Landscape Ecology (IALE), Fort Collins, CO, USA, April 7-11 2019. [ bib ]

2018

    [1] Scott M Collis, Giri Prakash, Robert C. Jackson, Jitendra Kumar, Zachary Sherman, and Bhargavi Krishna. A tale of two clusters: Working with lots of weather radar data bridging research and operations. Abstract IN41F-0892 presented at the 2018 American Geophysical Union (AGU) Fall Meeting (December 10--14, 2018), Washington, D.C., USA, December 2018. [ bib ]
    [2] Richard T. Mills, Vamsi Sripathi, Sarat Sreepathi, Jitendra Kumar, Forrest M. Hoffman, and William W. Hargrove. Parallel K-means Clustering of Geospatiotemporal Data Sets Using Manycore CPU Architectures. Abstract IN41D-0871 presented at the 2018 American Geophysical Union (AGU) Fall Meeting (December 10--14, 2018), Washington, D.C., USA, December 2018. [ bib ]
    [3] Sarat Sreepathi, Jitendra Kumar, Forrest M. Hoffman, Richard T. Mills, Vamsi Sripathi, and William W. Hargrove. EarthInsights: Parallel Clustering of Large Earth Science Datasets on the Summit Supercomputer (Invited). Abstract IN33A-04 presented at the 2018 American Geophysical Union (AGU) Fall Meeting (December 10--14, 2018), Washington, D.C., USA, December 2018. [ bib ]
    [4] Jitendra Kumar and Forrest M. Hoffman. Landscape structure and heterogeneity controls on ecohydrological processes in Arctic tundra ecosystem. Abstract H14D-02 presented at the 2018 American Geophysical Union (AGU) Fall Meeting (December 10--14, 2018), Washington, D.C., USA, December 2018. [ bib ]
    [5] William W. Hargrove, Jitendra Kumar, Steven P. Norman, and Forrest M. Hoffman. Empirical Characterization of Fire Regimes Across the Globe. Abstract GC51E-0825 presented at the 2018 American Geophysical Union (AGU) Fall Meeting (December 10--14, 2018), Washington, D.C., USA, December 2018. [ bib ]
    [6] William W. Hargrove, Steven P. Norman, Jitendra Kumar, and William M. Christie. New National Percent Greenup Completion Departure Maps Show Deviations in the Seasonal Progression of Vegetation Timing Every 8 Days (Invited). Abstract B53C-07 presented at the 2018 American Geophysical Union (AGU) Fall Meeting (December 10--14, 2018), Washington, D.C., USA, December 2018. [ bib ]
    [7] Venkata Shashank Konduri, Jitendra Kumar, William W. Hargrove, Forrest M. Hoffman, and Auroop R. Ganguly. Early season mapping of Corn and Soybeans in the US Midwest. Abstract B51H-2026 presented at the 2018 American Geophysical Union (AGU) Fall Meeting (December 10--14, 2018), Washington, D.C., USA, December 2018. [ bib ]
    [8] Bharat Sharma, Forrest M. Hoffman, Jitendra Kumar, Nathan Collier, and Auroop R. Ganguly. Impact of Changes in Anthropogenic Forcing on the Terrestrial Carbon Budget through the Year 2300. Abstract B41I-2830 presented at the 2018 American Geophysical Union (AGU) Fall Meeting (December 10--14, 2018), Washington, D.C., USA, December 2018. [ bib ]
    [9] Fengming Yuan, Gangsheng Wang, Shih-Chieh Kao, Jitendra Kumar, Verity G. Salmon, Colleen M. Iversen, Amy L. Breen, Peter E. Thornton, and Stan Wullschleger. Pathways to High Resolution Simulation of Land Surface Processes in Arctic Region: A Case Study on C & N Cycles Using PFLOTRAN Coupled E3SM Land Model (ELM). Abstract B23C-02 presented at the 2018 American Geophysical Union (AGU) Fall Meeting (December 10--14, 2018), Washington, D.C., USA, December 2018. [ bib ]
    [10] Martijn Pallandt, Mathias Goeckede, Jitendra Kumar, and Martin Jung. Past and Current State of the Arctic Eddy Covariance Network . Abstract A24K-16 presented at the 2018 American Geophysical Union (AGU) Fall Meeting (December 10--14, 2018), Washington, D.C., USA, December 2018. [ bib ]
    [11] Bharat Sharma, Forrest M. Hoffman, Jitendra Kumar, Nathan Collier, and Auroop Ganguly. Quantifying the Effect of Changes in Climate-Driven Carbon Cycle Extremes on the Terrestrial Carbon Budget through Year 2300. 15th Annual Meeting of the Asia Oceania Geosciences Society (AOGS), June 3-8 2018. [ bib ]
    [12] Forrest M. Hoffman, Jitendra Kumar, and Zachary L. Langford. Mapping Arctic Representativeness and Vegtation using Data Mining and Machine Learning Techniques. U.S. Department of Energy (DOE), Environmental System Science (ESS) Principal Investigator (PI) Meeting 2018, May 1-2 2018. [ bib ]
    [13] Bharat Sharma, Jitendra Kumar, Forrest M. Hoffman, and Nathan Collier. Identification of the Spatio-temporal Contiguous Carbon Cycle Extreme Events. 2018 Annual Meeting, US-International Association for Landscape Ecology (IALE), Chicago, IL USA, April 7-11 2018. [ bib ]
    [14] Forrest M. Hoffman, Zachary L. Langford, Jitendra Kumar, William Hargrove, and Steven P. Norman. Applying Google Earth Engine to Wildfire Disturbance Detection in the State of Alaska. 2018 Annual Meeting, US-International Association for Landscape Ecology (IALE), Chicago, IL USA, April 7-11 2018. [ bib ]
    [15] Jitendra Kumar, William Hargrove, Steven P. Norman, and Forrest M. Hoffman. Data Mining Historical MODIS Hotspots Archive to Characterize Global Fire Regimes. 2018 Annual Meeting, US-International Association for Landscape Ecology (IALE), Chicago, IL USA, April 7-11 2018. [ bib ]
    [16] William Hargrove, Steven P. Norman, Jitendra Kumar, and Forrest M. Hoffman. Using Linear and Non-Linear Temporal Adjustments to Match an Annual Phenological Profile to a Reference Profile for Direct Comparison of Vegetation Status and Health. 2018 Annual Meeting, US-International Association for Landscape Ecology (IALE), Chicago, IL USA, April 7-11 2018. [ bib ]
    [17] Martijn Pallandt, Mathias Göckede, Jitendra Kumar, Martin Jung, and Donatella Zona. Evaluation of the pan-Arctic ecosystem scale greenhouse gas monitoring network. EGU General Assembly 2018, 2018. [ bib ]

2017

    [1] Fengming Yuan, Gangsheng Wang, Scott L Painter, Guoping Tang, Xiaofeng Xu, Jitendra Kumar, Gautam Bisht, Glenn E Hammond, Richard T Mills, Peter E Thornton, and Stan D Wullschleger. Effect of Freeze-Thaw Cycles on Soil Nitrogen Reactive Transport in a Polygonal Arctic Tundra Ecosystem at Barrow AK Using 3-D Coupled ALM-PFLOTRAN. Abstract H42E-02 presented at the 2017 American Geophysical Union (AGU) Fall Meeting (December 11--15, 2017), New Orleans, Lousiana, USA, December 2017. [ bib ]
    [2] Bharat Sharma, Forrest M. Hoffman, Jitendra Kumar, and Auroop R Ganguly. Carbon Cycle Extremes in the 22nd and 23rd Century and Attribution to Climate Drivers . Abstract B53J-02 presented at the 2017 American Geophysical Union (AGU) Fall Meeting (December 11--15, 2017), New Orleans, Lousiana, USA, December 2017. [ bib ]
    [3] Jitendra Kumar, William Walter Hargrove, Steven P Norman, and Forrest M. Hoffman. Understanding patterns of vegetation structure and distribution across Great Smoky Mountains National Park using LiDAR and meteorology data . Abstract B31D-2028 presented at the 2017 American Geophysical Union (AGU) Fall Meeting (December 11--15, 2017), New Orleans, Lousiana, USA, December 2017. [ bib ]
    [4] Venkata Shashank Konduri, Jitendra Kumar, Forrest M. Hoffman, Auroop R Ganguly, and William Walter Hargrove. Spatiotemporal Analysis of Corn Phenoregions in the Continental United States . Abstract B34C-07 presented at the 2017 American Geophysical Union (AGU) Fall Meeting (December 11--15, 2017), New Orleans, Lousiana, USA, December 2017. [ bib ]
    [5] Shih-Chieh Kao, Xiaoying Shi, Jitendra Kumar, Daniel M Ricciuto, Jiafu Mao, and Peter E Thornton. Can Earth System Model Provide Reasonable Natural Runoff Estimates to Support Water Management Studies? Abstract GC51G-02 presented at the 2017 American Geophysical Union (AGU) Fall Meeting (December 11--15, 2017), New Orleans, Lousiana, USA, December 2017. [ bib ]
    [6] William Walter Hargrove, Steven P Norman, Jitendra Kumar, and Forrest M. Hoffman. Using Linear and Non-Linear Temporal Adjustments to Align Multiple Phenology Curves, Making Vegetation Status and Health Directly Comparable . Abstract B34C-08 presented at the 2017 American Geophysical Union (AGU) Fall Meeting (December 11--15, 2017), New Orleans, Lousiana, USA, December 2017. [ bib ]
    [7] Pierre Dens Fils, Jitendra Kumar, Nathan Collier, Forrest M. Hoffman, Min Xu, and Whitney Forbes. Assessing the optimality of ASHRAE climate zones using high resolution meteorological data sets . Abstract GC13C-0799 presented at the 2017 American Geophysical Union (AGU) Fall Meeting (December 11--15, 2017), New Orleans, Lousiana, USA, December 2017. [ bib ]
    [8] Forrest M. Hoffman, Jitendra Kumar, William Hargrove, Steven P. Norman, and Björn-Gustaf J. Brooks. Integrating Statistical and Expert Knowledge to Develop Phenoregions for the Continental United States. Japanese Geoscience Union (JpGU)-American Geophysical Union (AGU) Joint Meeting, May 20-25 2017. [ bib ]
    [9] Jitendra Kumar, William Hargrove, Steve Norman, and Forrest Hoffman. Canopy structure and distribution of vegetation in Great Smoky Mountain National Park. 2017 Annual Meeting, US-International Association for Landscape Ecology (IALE), Baltimore, MD USA, April 8-13 2017. [ bib ]
    [10] Forrest M. Hoffman, Jitendra Kumar, William Hargrove, and Nathaniel Collier. Understanding the representativeness of FLUXNET for upscaling carbon flux from eddy covariance measurements. 2017 Annual Meeting, US-International Association for Landscape Ecology (IALE), Baltimore, MD USA, April 8-13 2017. [ bib ]
    [11] William Hargrove, Danny C. Lee, Steven P. Norman, Forrest M. Hoffman, and Jitendra Kumar. Allowing existing vegetation to empirically define its own "phenological year" to quantify the degree and timing of seasonality across the United States. 2017 Annual Meeting, US-International Association for Landscape Ecology (IALE), Baltimore, MD USA, April 8-13 2017. [ bib ]

2016

    [1] Fengming Yuan, Scott L. Painter, Peter Thornton, Xiaofeng Xu, Guoping Tang, Jitendra Kumar, Gautam Bisht, Glenn E Hammond, Richard Mills, and Stan D. Wullschleger. Evaluating an Explicitly Coupled 3-D Soil Thermal-Hydrology and Carbon Nitrogen Reactive Transport Land Surface Model - CLM-PFLOTRAN. Abstract B41D-1360 presented at the 2016 American Geophysical Union (AGU) Fall Meeting (December 12--16, 2016), San Francisco, California, USA, December 2016. [ bib ]
    [2] Xiaofeng Xu, Xiaochun Zhang, Daniel M Ricciuto, Melanie Hahn, Paul J Hanson, Jitendra Kumar, David Lipson, Chun Ma, Xiaoying Shi, Xia Song, Guoping Tang, Peter Thornton, Margaret Torn, Stan D. Wullschleger, Fengming Yuan, Walter C Oechel, and Donatella Zona. Improved Understanding of Methane Dynamics in Alaskan Tundra Ecosystems and a Temperate Peatland Ecosystem by Integrating Observational Data with the CLM-Microbe Model. Abstract B54F-08 presented at the 2016 American Geophysical Union (AGU) Fall Meeting (December 12--16, 2016), San Francisco, California, USA, December 2016. [ bib ]
    [3] Richard Mills, Forrest Hoffman, Jitendra Kumar, Sarat Sreepathi, and Vamsi Sripathi. Scalable Algorithms for Clustering Large Geospatiotemporal Data Sets on Manycore Architectures. Abstract T23C-2953 presented at the 2016 American Geophysical Union (AGU) Fall Meeting (December 12--16, 2016), San Francisco, California, USA, December 2016. [ bib ]
    [4] Ben P Bond Lamberty, Daniel Epron, Jennifer W Harden, Mark Harmon, Forrest Hoffman, Jitendra Kumar, Anthony David McGuire, and Rodrigo Vargas. The challenge of establishing decomposition functional types to estimate heterotrophic respiration at large scales (Invited). Abstract B52C-01 presented at the 2016 American Geophysical Union (AGU) Fall Meeting (December 12--16, 2016), San Francisco, California, USA, December 2016. [ bib ]
    [5] Jitendra Kumar, Forrest Hoffman, William Hargrove, and Nathan Collier. Understanding the Representativeness of FLUXNET for Upscaling Carbon Flux from Eddy Covariance Measurements. Abstract B11J-08 presented at the 2016 American Geophysical Union (AGU) Fall Meeting (December 12--16, 2016), San Francisco, California, USA, December 2016. [ bib ]
    [6] Forrest Hoffman, Jitendra Kumar, William Hargrove, Steve Norman, and Bjorn-Gustaf Brooks. Integrating Statistical and Expert Knowledge to Develop Phenoregions for the Continental United States (Invited). Abstract B14C-01 presented at the 2016 American Geophysical Union (AGU) Fall Meeting (December 12--16, 2016), San Francisco, California, USA, December 2016. [ bib ]
    [7] William W. Hargrove, Danny C. Lee, Steven P. Norman, Forrest M. Hoffman, and Jitendra Kumar. A Polar Approach for Defining a Spatially-Explicit “Phenological Year” and Quantifying the Degree and Date of Seasonality for Existing Vegetation Across the United States. Abstract B42C-04 presented at the 2016 American Geophysical Union (AGU) Fall Meeting (December 12--16, 2016), San Francisco, California, USA, December 2016. [ bib ]
    [8] Steven P. Norman, Jitendra Kumar, William Hargrove, Forrest M. Hoffman, and Doug Newcomb. Forest structural complexity of the Southern Appalachians revealed by above ground LiDAR classification. 2016 Annual Meeting, US-International Association for Landscape Ecology (IALE), Asheville, NC USA, April 3-7 2016. [ bib ]
    [9] Jitendra Kumar, Jon Weiner, William Hargrove, Forrest M. Hoffman, Steven P. Norman, and Dough Newcomb. Characterization and classification of vegetation canopy structure and distribution within the Great Smoky Mountains National Park using LiDAR. 2016 Annual Meeting, US-International Association for Landscape Ecology (IALE), Asheville, NC USA, April 3-7 2016. [ bib ]
    [10] Forrest M. Hoffman, Jitendra Kumar, William Hargrove, and Steven P. Norman. Detecting and tracking shifts in national vegetation composition. 2016 Annual Meeting, US-International Association for Landscape Ecology (IALE), Asheville, NC USA, April 3-7 2016. [ bib ]
    [11] William Hargrove, Danny C. Lee, Steven P. Norman, Forrest M. Hoffman, and Jitendra Kumar. Temporal analysis of phenology to objectively determine normal seasonality of vegetation across the United States. 2016 Annual Meeting, US-International Association for Landscape Ecology (IALE), Asheville, NC USA, April 3-7 2016. [ bib ]

2015

    [1] Jon Weiner, Jitendra Kumar, Steven Norman, William Hargrove, Nathan Collier, and Forrest M. Hoffman. Mapping vegetation canopy structure and distribution for Great Smoky Mountains National Park using LiDAR. Abstract B43C-0549 presented at the 2015 American Geophysical Union (AGU) Fall Meeting (December 14--18, 2015), San Francisco, California, USA, December 2015. [ bib ]
    [2] Richard Mills, Forrest M. Hoffman, and Jitendra Kumar. Scalable algorithms for unsupervised classification and anomaly detection in large geospatiotemporal data sets (Invited). Abstract IN43A-1721 presented at the 2015 American Geophysical Union (AGU) Fall Meeting (December 14--18, 2015), San Francisco, California, USA, December 2015. [ bib ]
    [3] Rui Mei, Daniel Ricciuto, Jiafu Mao, Forrest M. Hoffman, and Jitendra Kumar. Sensitivity of land surface modeling to parameters: An uncertainty quantification method applied to the Community Land Model. Abstract GC43C-1205 presented at the 2015 American Geophysical Union (AGU) Fall Meeting (December 14--18, 2015), San Francisco, California, USA, December 2015. [ bib ]
    [4] Zachary Langford, Jitendra Kumar, and Forrest M. Hoffman. Landscape characterization of Arctic ecosystems using data mining algorithms and large geospatial datasets (Invited). Abstract IN43A-1723 presented at the 2015 American Geophysical Union (AGU) Fall Meeting (December 14--18, 2015), San Francisco, California, USA, December 2015. [ bib ]
    [5] Forrest M. Hoffman, Jitendra Kumar, Damian M. Maddalena, Zachary L. Langfordnd William W. Hargrove, and James T. Randerson. Characterizing tropical forest representativeness for optimizing sampling network coverage. 1st Annual Next Generation Ecosystem Experiments (NGEE) Tropics Meeting (August 9, 2015), The Westin Baltimore Washington Airport - BWI, Linthicum Heights, Maryland, USA, August 9 2015. [ bib ]
    [6] Richard Tran Mills, Forrest M. Hoffman, and Jitendra Kumar. Scalable algorithms for analysis of large geospatiotemporal data sets and some applications to landscape ecology. 9th International Association for Landscape Ecology (IALE) World Congress (July 5--10, 2015), Portland, Oregon, USA, July 5-10 2015. [ bib ]
    [7] Jitendra Kumar, William W. Hargrove, Forrest M. Hoffman, and Steve Norman. Detecting and Tracking Shifts in National Vegetation Composition Across the MODIS Era. 9th International Association for Landscape Ecology (IALE) World Congress (July 5--10, 2015), Portland, Oregon, USA, July 5-10 2015. [ bib ]
    [8] Forrest M. Hoffman, William W. Hargrove, Jitendra Kumar, Zachary L. Langford, and Damian M. Maddalena. High performance computational landscape ecology and using clustering to define climate regimes. 9th International Association for Landscape Ecology (IALE) World Congress (July 5--10, 2015), Portland, Oregon, USA, July 5-10 2015. [ bib ]
    [9] William W. Hargrove, Forrest M. Hoffman, Jitendra Kumar, and Steven P. Norman. Directions in computationally intensive landscape ecology. 9th International Association for Landscape Ecology (IALE) World Congress (July 5--10, 2015), Portland, Oregon, USA, July 5-10 2015. [ bib ]
    [10] Forrest M. Hoffman, Jitendra Kumar, Damian M. Maddalena, William W. Hargrove, and James T. Randerson. Characterizing tropical forest representativeness for optimizing sampling network coverage. Abstract 189 presented at the 52nd Annual Meeting of the Association for Tropical Biology and Conservation (ATBC) (July 12--16, 2015), Hawai`i Convention Center, Honolulu, Hawai`i, USA, July 2015. [ bib ]
    [11] Forrest M. Hoffman, Jitendra Kumar, Zachary Langford, Stan D. Wullschleger, Damian Maddalena, William W. Hargrove, Mingquan Mu, William J. Riley, and James T. Randerson. Computational approaches for model, experiment, and data integration supporting site characterization and model evaluation. Community Surface Dynamics Modeling System (CSDMS) 2015 Annual Meeting (May 26--28, 2015), Boulder, Colorado, USA. (Invited), May 28 2015. [ bib ]
    [12] Jitendra Kumar, Nathan Collier, Gautam Bisht, , and Peter Thornton. Multi-scale modeling of permafrost freeze-thaw dynamics in polygonal tundra. U.S. Department of Energy Joint Terrestrial Ecosystem Science and Subsurface Biogeochemistry Research Principal Investigator Meeting, Bolger Center, Potomac, Maryland, USA., April 28--29 2015. [ bib ]

2014

    [1] Fengming Yuan, Guoping Tang, Xiaofeng Xu, Jitendra Kumar, Gautam Bisht, Glenn E Hammond, Peter Thornton, Richard Mills, and Stan Wullschleger. Explicitly synchronizing soil water and carbon nitrogen reactive transport using clm-pflotran: Does sequential or synchronized implementing of soil processes matter to soil c stocks? American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract B23C-0212, December 15--19 2014. [ bib ]
    [2] Xiaofeng Xu, Melanie Hahn, Jitendra Kumar, Fengming Yuan, Guoping Tang, Peter Thornton, Margaret Torn, and Stan Wullschleger. Upscaling plot-scale methane flux to a eddy covariance tower domain in Barrow, AK: integrating in-situ data with a microbial functional group-based model. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract B11D-0044, December 15--19 2014. [ bib ]
    [3] Stan Wullschleger, Nathan Collier, Jitendra Kumar, Scott Painter, Peter Thornton, and Cathy Wilson. Integration of measurements and models across spatial scales for improved process understanding in arctic and boreal ecosystems. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract B53H-02, December 15--19 2014. [ bib ]
    [4] Xia Song, Forrest Hoffman, Xiaofeng Xu, Colleen Iversen, and Jitendra Kumar. Above-belowground Carbon Allocation in Earth System Models. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract A21G-3117, December 15--19 2014. [ bib ]
    [5] Shijie Shu, Forrest Hoffman, Jitendra Kumar, William Hargrove, and Atul Jain. Data Mining Approach for Evaluating Vegetation Dynamics in Earth System Models (ESMs) Using Satellite Remote Sensing Products. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract B53G-06, December 15--19 2014. [ bib ]
    [6] Steve Norman, Jitendra Kumar, William Hargrove, and Forrest Hoffman. A global classification of contemporary fire regimes. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract GC31A-0440, December 15--19 2014. [ bib ]
    [7] Damian M. Maddalena, Forrest Hoffman, and Jitendra Kumar. Landscape characterization and representativenessanalysis for understanding sampling network coverage. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract B51B-0029, December 15--19 2014. [ bib ]
    [8] Zachary Langford, Jitendra Kumar, Victoria Sloan, Richard Norby, and Stan Wullschleger. Mapping plant functional type distributions in arctic ecosystems using worldview-2 satellite imagery and unsupervised clustering. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract B41I-0166, December 15--19 2014. [ bib ]
    [9] Jitendra Kumar, Zachary Langford, Fengming Yuan, and Forrest Hoffman. Remote sensing to inform plant functional type (pft) distributions in the community land model. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract B53I-03, December 15--19 2014. [ bib ]
    [10] Jitendra Kumar, William Hargrove, Steve Norman, and Forrest Hoffman. Detecting and Tracking Shifts in National Vegetation Composition,Including Donors and Recipients, Across the MODIS Era. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract B31A-0008, December 15--19 2014. [ bib ]
    [11] Forrest Hoffman, Jitendra Kumar, Damian M. Maddalena, Zachary Langford, and William Hargrove. Multivariate spatio-temporal clustering: A framework for integrating disparate data to understand network representativeness and scaling up sparse ecosystem measurements. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract IN44A-06, December 15--19 2014. [ bib ]
    [12] William Hargrove, Jitendra Kumar, Kevin M. Potter, and Forrest Hoffman. Version 5 of forecasts; forecasts of climate-associated shifts in tree species. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract B51G-0106, December 15--19 2014. [ bib ]
    [13] William Hargrove, Jitendra Kumar, Yasemin Erugner Baytok, and Forrest Hoffman. Predominant Environmental Factors Controlling and Predicting Phenological Seasonality Across the CONUS over the Last Decade. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract B53K-03, December 15--19 2014. [ bib ]
    [14] Nathan Collier, Gautam Bisht, and Jitendra Kumar. Challenges to large-scale simulations of permafrost freeze-thaw dynamics. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract GC33A-0480, December 15--19 2014. [ bib ]
    [15] Gautam Bisht, William Riley, Nathan Collier, and Jitendra Kumar. Topographic controls on scaling of hydrologic and thermal processes in polygonal ground features of an arctic ecosystem: A case study using idealized non-isothermal surface-subsurface simulations. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract B33B-0169, December 15--19 2014. [ bib ]
    [16] Forrest Hoffman, Jitendra Kumar, Damian M. Maddalena, and William Hargrove. Representativeness-based Sampling Network Design for NGEE and Identifying Phenoregions for the Conterminous U.S. Fourth Workshop on Understanding Climate Change from Data, National Center for Atmospheric Research (NCAR), Boulder, Colorado, USA. (Invited), June 30--July 2 2014. [ bib ]
    [17] Steve Norman, Jitendra Kumar, and William Hargrove. A diagnostic and predictive tool for landscape fire regimes. US International Association of Landscape Ecology (IALE), Anchorage, AK, May 18--22, 2014 2014. [ bib | http ]
    [18] Jitendra Kumar, Forrest Hoffman, Victoria Sloan, and Richard Norby. Mapping plant functional type distributions in arctic ecosystems using multi-spectral remote sensing and vegetation survey datasets. US International Association of Landscape Ecology (IALE), Anchorage, AK, May 18--22, 2014 2014. [ bib | http ]
    [19] Forrest Hoffman, Jitendra Kumar, Richard Mills, and William Hargrove. Representativeness-based sampling network design for the arctic. US International Association of Landscape Ecology (IALE), Anchorage, AK, May 18--22, 2014 2014. [ bib | http ]
    [20] William Hargrove, Forrest Hoffman, Jitendra Kumar, Serra J. Hoagland, Yasemin Erugner Baytok, and Steve Norman. Utility and behavior of national phenoregions for characterization of vegetation, habitat and seasonal changes. US International Association of Landscape Ecology (IALE), Anchorage, AK, May 18--22, 2014 2014. [ bib | http ]
    [21] Jitendra Kumar, Nathan Collier, Fengming Yuan, Gautam Bisht, Guoping Tang, Xiaofeng Xu, and Peter Thornton. Multi-scale modeling of hydrologic and biogeochemical processes in arctic ecosystems. U.S. Department of Energy Climate Modeling Principal Investigator Meeting, Bolger Center, Potomac, Maryland, USA., May 12--14, 2014 2014. [ bib ]
    [22] Jitendra Kumar, Nathan Collier, Fengming Yuan, Gautam Bisht, Guoping Tang, Xiaofeng Xu, and Peter Thornton. Multi-scale modeling of hydrologic and biogeochemical processes in arctic ecosystems. U.S. Department of Energy Joint Terrestrial Ecosystem Science and Subsurface Biogeochemistry Research Principal Investigator Meeting, Bolger Center, Potomac, Maryland, USA., May 6--7, 2014 2014. [ bib ]
    [23] Forrest M. Hoffman, Jitendra Kumar, Zachary Langford, Damian Maddalena, Nathan Collier, Victoria Sloan, Richard T. Mills, and William W. Hargrove. Representativeness-based sampling network design and scaling strategies for measurements in arctic and tropical ecosystems. U.S. Department of Energy Joint Terrestrial Ecosystem Science and Subsurface Biogeochemistry Research Principal Investigator Meeting, Bolger Center, Potomac, Maryland, USA., May 6--7, 2014 2014. [ bib ]
    [24] Jitendra Kumar, Forrest Hoffman, and William Hargrove. Empirical mining of large data sets to solve practical ecological problems. High Performance Computing and Geospatial Analytics Workshop, Argonne National Laboratory (Invited), April 29--30 2014. [ bib ]

2013

    [1] Peter Thornton, Jitendra Kumar, Scott Painter, Gautam Bisht, Glenn E Hammond, Richard Mills, and Guoping Tang. A multi-scale approach to representing tundra permafrost dynamics in a coupled climate system model. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract B31H-05, December 9--13 2013. [ bib | .html ]
    [2] Richard T. Mills, Gautam Bisht, Glenn E. Hammond, Benjamin J. Andre, Jitendra Kumar, Satish Karra, Scott L. Painter, Peter C. Lichtner, Guoping Tang, Fengming Yuan, Xiaofeng Xu, Forrest M. Hoffman, William J. Riley, and Peter E. Thornton. Development of a process-rich modeling framework for arctic ecohydrology using the open-source pflotran and clm models. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract DI31A-2195, December 9--13 2013. [ bib | .html ]
    [3] Damian M. Maddalena, Forrest M. Hoffman, and Jitendra Kumar. Landscape characterization for the identification of environmental gradients in the tropics. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract B11G-0431, December 9--13 2013. [ bib | .html ]
    [4] Jitendra Kumar, Gautam Bisht, Anna K. Liljedahl, Richard Mills, Satish Karra, Scott Painter, and Peter Thornton. Modeling active layer and permafrost dynamics of ice wedge polygon dominated arctic ecosystems. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract C53A-0535, December 9--13 2013. [ bib | .html ]
    [5] Forrest M. Hoffman, Jitendra Kumar, and William W. Hargrove. Integrating statistical and expert knowledge to develop phenoregions for the continental united states. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract B43C-0490, December 9--13 2013. [ bib | .html ]
    [6] William Walter Hargrove, Jitendra Kumar, Kevin M. Potter, and Forrest M. Hoffman. Global tree range shifts under forecasts from two alternative gcms using two future scenarios. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract B32D-06, December 9--13 2013. [ bib | .html ]
    [7] William Walter Hargrove, Forrest M. Hoffman, Jitendra Kumar, Joseph Spruce, and Steve Norman. Empirical mining of large data sets already helps to solve practical ecological problems; a panoply of working examples. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract IN52A-05 (Invited), December 9--13 2013. [ bib | .html ]
    [8] Chandana Gangodagamage, Joel Rowland, A N Skurikhin, C J Wilson, S P Brumby, S L Painter, C W Gable, Q Bui, L S Short, A K Liljedahl, S S Hubbard, H M aWainwright, B Dafflon, C E Tweedie, J Kumar, and S D Wullschleger. Spatial and spectral characterization, mapping, and 3d reconstructing of ice-wedge polygons using high resolution lidar data. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, USA Abstract B51H-0402, December 9--13 2013. [ bib | .html ]
    [9] Forrest Hoffman, Jitendra Kumar, and William Hargrove. Integrating unsupervised classification and expert knowledge to develop phenoregion maps using remotely sensed imagery. 4th Supercomputing Workshop on Petascale (Big) Data Analytics: Challenges and Opportunities (November 17, 2013) (Invited), November 2013. [ bib | http ]
    [10] Jitendra Kumar, Richard T. Mills, Guoping Tang, Xiaofeng Xu, Fengming Yuan, Forrest M. Hoffman, and Peter E. Thornton. Multi-scale modeling of eco-hydrologic processes in Arctic ecosystems. Oak Ridge Climate Change Science Institute (CCSI) Lunchtime Seminar, September 30 2013. [ bib ]
    [11] Jitendra Kumar, Forrest Hoffman, and William Hargrove. Classification and delineation of large earth science data. Smoky Mountains Computational Sciences and Engineering Conference, September 3--5 2013. [ bib ]
    [12] Forrest Hoffman, Jitendra Kumar, and William Hargrove. Big data in the geosciences: Data mining methods for characterizing ecoregions, designing sampling networks, detecting forest threats, and understanding climate change predictions. Smoky Mountains Computational Sciences and Engineering Conference, September 3--5 2013. [ bib ]
    [13] Jitendra Kumar, William Hargrove, Forrest Hoffman, and Kevin Potter. Imputation of continuous tree suitability over the continental united states from sparse measurements. 98th Annual Ecological Society of America (ESA) Meeting (August 4--9, 2013), August 2013. [ bib ]
    [14] Forrest Hoffman, Jitendra Kumar, and William Hargrove. Data mining for climate change model intercomparison and phenoregions. National Phenology Network (NPN) Seasonal Timing Working Group Meeting (August 12--13, 2013), University of Wisconsin, Milwaukee, Milwaukee, Wisconsin, USA. (Invited), August 2013. [ bib ]
    [15] Forrest Hoffman, Jitendra Kumar, and William Hargrove. Representativeness-based sampling network design for the arctic. 98th Annual Ecological Society of America (ESA) Meeting (August 4--9, 2013), August 2013. [ bib ]
    [16] Forrest Hoffman, Jitendra Kumar, and William Hargrove. Data mining for climate change model intercomparison and sampling domain representativeness and threat detection for forest health. Next Generation Climate Data Products Workshop (July 15--19, 2013), National Center for Atmospheric Research (NCAR), Boulder, Colorado, USA (Invited), July 2013. [ bib ]
    [17] William Hargrove, Forrest Hoffman, Jitendra Kumar, Joe Spruce, and Steve P. Norman. ForWarn: A cross-cutting forest resource management & decision-support system. USDA Forest Service Landscape Science Webinar, June 25, June 2013. [ bib ]
    [18] Scott Painter, Jitendra Kumar, Gautam Bisht, and Richard T. Mills. Overview of NGEE Arctic fine and intermediate scale model development. TES/SBR Joint Investigators Meeting, May 2013. [ bib ]
    [19] Jitendra Kumar, Gautam Bisht, Glenn Hammond, Forrest M. Hoffman, Richard T. Mills, Scott Painter, Guoping Tang, and Peter E. Thornton. Multi-scale modeling of eco-hydrologic processes in Arctic ecosystems. TES/SBR Joint Investigators Meeting, May 2013. [ bib ]
    [20] Jitendra Kumar, William Hargrove, and Forrest Hoffman. Imputation of continuous tree suitability over the continental united states from sparse measurements. In US International Association of Landscape Ecology (US-IALE) Annual Symposium, Austin, TX, April 14-18, April 2013. [ bib ]
    [21] Forrest Hoffman, Jitendra Kumar, William Hargrove, Joe Spruce, and Richard Mills. Developing phenoregion maps using remotely sensed imagery. In US International Association of Landscape Ecology (US-IALE) Annual Symposium, Austin, TX, April 14-18, April 2013. [ bib ]
    [22] William Hargrove, Joe Spruce, Steve P. Norman, Jitendra Kumar, and Forrest Hoffman. Using land surface phenology for national mapping of the occurrence and health of evergreen and deciduous forests. In US International Association of Landscape Ecology (US-IALE) Annual Symposium, Austin, TX, April 14-18, April 2013. [ bib ]
    [23] Jitendra Kumar, Forrest Hoffman, Eva Sinha, and William Hargrove. Data mining for climate change model intercomparison. Climate 2013, The next-generation of climate models and knowledge discoveries through the extreme high-performance simulations and big data, Lawrence Berkeley National Laboratory (Invited), March 20-22 2013. [ bib ]
    [24] Forrest M. Hoffman, Richard Norby, Xiaojuan Yang, Lianhong Gu, Anna M. Jensen, Jitendra Kumar, Ying Sun, Anthony P. Walker, Jeffrey M. Warren, and Daid Weston. Model-inspired science priorities for evaluating tropical ecosystem response to climate change. Oak Ridge National Laboratory (ORNL) Climate Change Science Institute (CCSI) Scientific Advisory Board Poster Session, Oak Ridge, Tennessee, USA, March 6 2013. [ bib ]
    [25] Marcia L. Branstetter, Jitendra Kumar, Peter E. Thornton, Benjamin Mayer, Robert Cook, and Michele M. Thornton. Update on development of a high resolution surface weather forcing dataset for clm using nexrad and daymet. Oak Ridge National Laboratory (ORNL) Climate Change Science Institute (CCSI) Scientific Advisory Board Poster Session, Oak Ridge, Tennessee, USA, March 6 2013. [ bib ]
    [26] Jitendra Kumar, Gautam Bisht, Satish Karra, Forrest Hoffman, Richard Mills, and Peter Thornton. Multi-scale modeling of eco-hydrologic processes in arctic ecosystems. Oak Ridge National Laboratory (ORNL) Climate Change Science Institute (CCSI) Scientific Advisory Board Poster Session, Oak Ridge, Tennessee, USA, March 2013. [ bib ]
    [27] Peter Thornton, Gautam Bisht, Bob Bolton, Marcia Branstetter, Dipankar Dwivedi, Eugenie Euskirchen, Chandana Gangodagamage, Santonu Goswami, Glenn Hammond, Dan Hayes, Larry Hinzman, Forrest Hoffman, Eunmo Koo, Charlie Koven, Jitendra Kumar, Anna Liljedahl, Dave McGuire, Richard Mills, Scott Painter, Bill Riley, Linn Rodman, Joel Rowland, Guoping Tang, Jinyun Tang, Bryan Travis, Haruko Wainwright, Cathy Wilson, Stan Wullschleger, Chonggang Xu, Xiaofeng Xu, and Fengming Yuan. Next-generation ecosystem experiments (NGEE Arctic): Connections to CLM. CESM Land Model Working Group Meeting, Boulder, CO, February 20-22 2013. [ bib ]
    [28] Marcia L. Branstetter, Jitendra Kumar, Peter E. Thornton, Benjamin Mayer, Robert Cook, and Michele M. Thornton. Update on development of a high resolution surface weather forcing dataset for clm using nexrad and daymet. CESM Land Model Working Group Meeting, Boulder, CO, February 20-22 2013. [ bib ]
    [29] Jitendra Kumar, Gautam Bisht, Satish Karra, Forrest Hoffman, Richard Mills, and Peter Thornton. Multi-scale modeling of eco-hydrologic processes in arctic ecosystems. CESM Land Model Working Group Meeting, Boulder, CO, February 2013. [ bib ]
    [30] Forrest Hoffman, Jitendra Kumar, Richard Mills, and William Hargrove. Data mining for climate change model intercomparison and a data mining methology for detecting forest threats and mapping representativeness. SAMSI/NCAR Workshop on Massive Datasets in Environment and Climate (February 15--17, 2013), National Center for Atmospheric Research (NCAR), Boulder, Colorado, USA. (Invited), February 2013. [ bib ]
    [31] Forrest M. Hoffman, Jitendra Kumar, and William W. Hargrove. Data mining for climate change model intercomparison. DataONE Exploration, Visualization, and Analysis (EVA) Workshop, Polytechnic Institute of New York University (NYU-Poly), Brooklyn, NY, USA (Invited), January 22 -- 23 2013. [ bib ]
    [32] Doug Newcomb, William Hargrove, Forrest Hoffman, and Jitendra Kumar. Forest structure and bird nesting habitat derived from lidar data. 2013 North Carolina Geographic Information System (NCGIS) Conference (February 7--8, 2013), Raleigh Convention Center, Raleigh, North Carolina, USA, 2013. [ bib ]

2012

    [1] Eva Sinha, Jitendra Kumar, and Forrest Hoffman. Analysis and intercomparison of cmip5 models using clustered climate regimes. In AGU Fall Meeting, San Francisco, USA, December 3--7, December 2012. [ bib ]
    [2] Richard T Mills, Gautam Bisht, Satish Karra, Forrest M Hoffman, Glenn E Hammond, Jitendra Kumar, Scott Painter, Peter E Thornton, and Peter C Lichtner. Progress towards coupled simulation of surface/subsurface hydrologic processes and terrestrial ecosystem dynamics using the community models pflotran and clm. In AGU Fall Meeting, San Francisco, USA, December 3--7, December 2012. [ bib ]
    [3] Rui Mei, Salil Mahajan, Jitendra Kumar, Forrest Hoffman, and Moet Ashfaq. Do high­resolution global models add value to climate model predictions? results from a cluster analysis. In AGU Fall Meeting, San Francisco, USA, December 3--7, December 2012. [ bib ]
    [4] William W Walter Hargrove, Joseph Spruce, Jitendra Kumar, and Forrest M Hoffman. Forwarn forest disturbance change detection system provides a weekly snapshot of us forest conditions to aid forest managers. In AGU Fall Meeting, San Francisco, USA, December 3--7 (Invited), December 2012. [ bib ]
    [5] William Hargrove, Jitendra Kumar, Forrest Hoffman, Kevin Potter, and Richard Mills. Imputation of continuous tree suitability over the continental united states from sparse measurements using associative clustering. In AGU Fall Meeting, San Francisco, USA, December 3--7, December 2012. [ bib ]
    [6] Gautam Bisht, Jitendra Kumar, Anna K. Liljedahl, William J. Riley, and Peter E. Thornton. Scaling of hydrologic flows due to polygonal ground features in arctic ecosystem. In AGU Fall Meeting, San Francisco, USA, December 3--7, December 2012. [ bib ]
    [7] Jitendra Kumar, Forrest M. Hoffman, William W. Hargrove, Richard T. Mills, William M. Christie, Joseph P. Spruce, and Steve P. Norman. A statistical approach for detection of natural disturbances in forest ecosystems using remotely sensed phenology. In Phenology 2012 Conference, Milwaukee, Wisconsin USA, September 10-13, September 2012. [ bib | PDF ]
    [8] William W. Hargrove, Joseph P. Spruce, Steven P. Norman, William M. Christie, Jitendra Kumar, and Forrest M. Hoffman. Using land surface phenology for national mapping of the occurrence and health of evergreen and deciduous forests. In Phenology 2012 Conference, Milwaukee, Wisconsin USA, September 10-13, September 2012. [ bib | PDF ]
    [9] Jitendra Kumar, Peter C. Lichtner, Richard T. Mills, and Glenn E. Hammond. Contaminant plume modeling at Oak Ridge Integrated Field Research Challenge site using high performance computing. In The XIX International Conference on Computational Methods in Water Resources (CMWR 2012), June 17 -- 21, June 2012. [ bib | PDF ]
    [10] Forrest M. Hoffman, Jitendra Kumar, Richard Tran Mills, and William W. Hargrove. Assessment of ecohydrological impacts under climate change scenarios from CMIP5. In The XIX International Conference on Computational Methods in Water Resources (CMWR 2012), June 17 -- 21, June 2012. [ bib | PDF ]
    [11] Gautam Bisht, Glenn E. Hammond, Forrest M. Hoffman, Jitendra Kumar, Peter C. Lichtner, and Richard T. Mills Peter E. Thornton. Improving surface and subsurface hydrologic processes within the community land surface model (CLM): Coupling PFLOTRAN and CLM. In The XIX International Conference on Computational Methods in Water Resources (CMWR 2012), June 2012. [ bib | PDF ]
    [12] Ankur Roy, Edmund Perfect, Jitendra Kumar, and Richard T. Mills. Does anisotropy in fracture clustering translate into anisotropy in intrinsic permeability? In American Association of Petroleum Geologists (AAPG) 2012 Annual Convention & Exhibition, Long Beach, California 22-25 April, April 2012. [ bib | PDF ]
    [13] J. Kumar, P. C. Lichtner, R. T. Mills, S. C. Brooks, and D. Watson. Effect of spatially and temporally variable recharge on subsurface reactive transport of contaminants at the Oak Ridge Integrated Field Research site. DOE-SBR 7th Annual PI Meeting, Washington, D.C., USA, April 30-May 02, April 2012. [ bib ]
    [14] Forrest Hoffman, Richard Mills, Jitendra Kumar, William Hargrove, and Joe Spruce. A data mining methodology for detecting change in forest ecosystems using remotely sensed imagery. In US International Association of Landscape Ecology (US-IALE) Annual Symposium, Newport, RI, April 8-12, April 2012. [ bib ]
    [15] Daniel Ricciuto, Peter Thornton, Dali Wang, Marcia Branstetter, Jitendra Kumar, Forrest Hoffman, Habib Najm, Cosmin Safta, and Khachik Sargsyan. Uncertainty quantification in CLM: Comprehensive parameter sensitivity analysis. In Community Earth System Model (CESM) Joint Land Model and Biogeochemistry Working Group Meeting (February 29--March 2, 2012), National Center for Atmospheric Research (NCAR), Boulder, Colorado, USA, February 2012. [ bib ]
    [16] Jitendra Kumar, Forrest M. Hoffman, Richard T. Mills, William W. Hargrove, and Joseph Spruce. A statistical methodology for detecting and monitoring change in forest ecosystems using remotely sensed imagery. In Oak Ridge Climate Change Science Institute (CCSI) Scientific Advisory Board Meeting, January 31--February 2, 2012, Oak Ridge, Tennessee, USA, February 2012. [ bib ]
    [17] Jitendra Kumar, Forrest M. Hoffman, Richard T. Mills, William W. Hargrove, and Joseph Spruce. A statistical methodology for detecting and monitoring change in forest ecosystems using remotely sensed imagery. In NIMBioS Workshop on Disturbance Regimes and Climate-Carbon Feedbacks (February 13--15, 2012), National Institute for Mathematical and Biological Synthesis (NIMBioS), University of Tennessee, Knoxville, Tennessee, USA, February 2012. [ bib ]
    [18] Forrest M. Hoffman, Jitendra Kumar, Richard T. Mills, and William W. Hargrove. Site representativeness and sampling network design for the next generation ecosystem experiment (NGEE)-arctic. In Oak Ridge Climate Change Science Institute (CCSI) Scientific Advisory Board Meeting, January 31---February 2, 2012, Oak Ridge, Tennessee, USA, February 2012. [ bib ]
    [19] Gautam Bisht, Forrest M. Hoffman, Jitendra Kumar, Richard T. Mills, and Peter E. Thornton. A proposed model development strategy to incorporate 3-d subsurface hydrologic and thermal processes within the community land model. In Community Earth System Model (CESM) Land Model Working Group Meeting (February 29--March 2, 2012), National Center for Atmospheric Research (NCAR), Boulder, Colorado, USA, February 2012. [ bib ]
    [20] Richard T. Mills, Sarat Sreepathi, Vamsi Sripathi, Kumar G. Mahinthakumar, Glenn Hammond, Peter Lichtner, Barry F. Smith, Jitendra Kumar, and Gautam Bisht. Engineering the PFLOTRAN subsurface flow and reactive transport code for scalable performance on leadership--class supercomputers. In 15th SIAM Conference on Parallel Processing for Scientific Computing, February 15--17, 2012. [ bib | http ]
    [21] Richard T. Mills, Barry F. Smith, Jitendra Kumar, Glenn E. Hammond, and Peter C. Lichtner. Solver strategies to ameliorate barriers to scalable performance for subsurface reacting flow simulations on leadership-class supercomputers using PFLOTRAN. In The XIX International Conference on Computational Methods in Water Resources (CMWR 2012), June 17 -- 21, 2012. [ bib | PDF ]
    [22] Jitendra Kumar, Gautam Bisht, Satish Karra, Anna K. Liljedahl, Forrest Hoffman, Richard Mills, Scott Painter, and Peter E. Thornton. Active layer and permafrost thermal regimes in ice wedge polygon dominated regions of alaska. In AGU Fall Meeting, San Francisco, USA, December 3--7, 2012. [ bib ]

2011

    [1] Richard Mills, Jitendra Kumar, Forrest Hoffman, William Hargrove, and Joseph Spruce. A statistical methodology for detecting and monitoring change in forest ecosystems using remotely sensed imagery. In American Geophysical Union (AGU) Fall Meeting 2011, San Francisco, CA, December 5-9, December 2011. [ bib | PDF ]
    [2] Aaron Marshall, Forrest M. Hoffman, Jitendra Kumar, William W. Hargrove, and Richard T. Mills. Early warning system for identification and monitoring of disturbances to forest ecosystems. In American Geophysical Union (AGU) Fall Meeting 2011, San Francisco, CA, December 5-9, December 2011. [ bib | PDF ]
    [3] Jitendra Kumar, Peter C. Lichtner, Richard T. Mills, Glenn E. Hammond, Daniil Svyatskiy, Guoping Tang, Scott Brooks, David Watson, and Jack Parker. Effect of spatially and temporally variable recharge on subsurface reactive transport of contaminants at Oak Ridge Integrated Field Research Challenge site. In American Geophysical Union (AGU) Fall Meeting 2011, San Francisco, CA, December 5-9, December 2011. [ bib | PDF ]
    [4] Jitendra Kumar and Richard T. Mills. Parallel parameter estimation for subsurface flow and reactive transport problems. In The Institute for Operations Research and the Management Sciences (INFORMS) Annual Meeting 2011, Charlotte, NC, November 13-16, November 2011. [ bib ]
    [5] Forrest M. Hoffman, Jitendra Kumar, and William W. Hargrove. Data mining for climate change model intercomparison. First Workshop on Understanding Climate Change through Data (August 15--16, 2011), University of Minnesota, Minneapolis, Minnesota, USA (Invited), August 16 2011. [ bib | http ]
    [6] Jitendra Kumar, Forrest M. Hoffman, Richard T. Mills, and William W. Hargrove. Data mining in earth system sciences. Oak Ridge Climate Change Science Institute (CCSI) Lunchtime Seminar, Oak Ridge, Tennessee, USA, August 2011. [ bib | .pdf ]
    [7] P. C. Lichtner, G. E. Hammond, R. T. Mills, B. Philip, D. Svyatskiy, G. Bisht, J. Kumar, C. Lu, X. Chen, and B. Smith. PFLOTRAN: The next-generation peta-scale subsurface reactive flow and transport code. SciDAC 2011, Denver, CO, USA, July 10-14, July 2011. [ bib ]
    [8] Jitendra Kumar, Forrest M. Hoffman, Richard T. Mills, and William W. Hargrove. Data mining approaches for the analysis of large earth science data sets. Workshop on Scientific Data and Analytics for Extreme Scale Computing, Tahoe City, Center for Scalable Application Development Software (CScADS), Rice University (Invited), July 2011. [ bib ]
    [9] Richard T. Mills, Forrest M. Hoffman, Jitendra Kumar, and William W. Hargrove. Detection of forest threats via unsupervised geospatiotemporal data mining of remotely sensed phenology data. In US Internatinal Association of Landscape Ecology (US-IALE) Annual Symposium, Portland, Oregon, April 3-7, April 2011. [ bib | PDF ]
    [10] P. C. Lichtner, G. E. Hammond, R. T. Mills, B. Philip, D. Svyatskiy, G. Bisht, J. Kumar, C. Lu, X. Chen, and B. Smith. PFLOTRAN: The next-generation peta-scale subsurface reactive flow and transport code. DOE-SBR 6th Annual PI Meeting, Washington, D.C., USA, April 26-28, April 2011. [ bib ]
    [11] P. C. Lichtner, G. E. Hammond, J. Kumar, R. T. Mills, J. Parker, D. Svyatskiy, G. Tang, D. Watson, and S. C. Brooks. Assessment of coupled plume-scale processes at the Oak Ridge IFRC using high performance computing. DOE-SBR 6th Annual PI Meeting, Washington, D.C., USA, April 26-28, April 2011. [ bib ]
    [12] Forrest M. Hoffman, William W. Hargrove, Richard T. Mills, Jitendra Kumar, and Salil Mahajan. Determining shifts in climate regimes using earth system model projections. In US Internatinal Association of Landscape Ecology (US-IALE) Annual Symposium, Portland, Oregon, April 3-7, April 2011. [ bib | PDF ]
    [13] Richard T. Mills, Jitendra Kumar, Forrest M. Hoffman, William W. Hargrove, and Joe Spruce. Analysis of phenological signatures in remote sensing data in the southern appalachians. In Southern Appalachian Man and the Biosphere (SAMAB) 21st Annual Conference 2011, Ashville, NC, November 15-17, 2011. [ bib ]

2010

    [1] Jitendra Kumar. Systems analytic methods for design and management of large-scale environmental systems. Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA, August 2010. [ bib ]
    [2] Richard T. Mills, Forrest M. Hoffman, Jitendra Kumar, Shivakar S. Vulli, William W. Hargrove, and Joe Spruce. Geospatiotemporal data mining of remotely sensed phenology for unsupervised forest threat detection. In Eos Trans. AGU, 2010. [ bib | PDF ]
    [3] Jitendra Kumar, Richard T. Mills, Peter C. Lichtner, and Glenn E. Hammond. Massively parallel multiple interacting continua formulation for modeling flow in fractured porous media using the subsurface reactive flow and transport code PFLOTRAN. In Eos Trans. AGU, 2010. [ bib | PDF ]

2007

    [1] Jitendra Kumar and Naresh Devineni. Artificial neural network models for long lead streamflow forecasts using climate information. In Eos Trans. AGU, volume 88(52) Fall Meeting Suppl., 2007. [ bib | PDF ]

2006

    [1] Jitendra Kumar, Ashu Jain, and Rajesh Srivastava. Estimating groundwater pollution source location using neural networks presented with partial and noisy data. In EGU General Assembly, Geophysical Research Abstracts, volume Vol. 8. European Geoscience Union, 2006. [ bib | PDF ]
    [2] Jitendra Kumar, Ashu Jain, and Rajesh Srivastava. Estimating groundwater pollution source location using neural networks and noisy breakthrough curve data. In EGU General Assembly, Geophysical Research Abstracts, volume Vol. 8. European Geosciences Union, 2006. [ bib | PDF ]

2005

    [1] Jitendra Kumar, Ashu Jain, and Rajesh Srivastava. Locating groundwater pollution source using breakthrough curve characteristics and artificial neural networks. In Eos Trans. AGU, volume 86(52), Fall Meeting Suppl., 2005. [ bib | PDF ]