Publications
2024
| [1] | Elias C Massoud, Nathan Collier, Bharat Sharma, Jitendra Kumar, and Forrest M. Hoffman. Enhancing photosynthesis simulation performance in esms with machine learning-assisted solvers. In 2024 IEEE International Conference on Big Data (BigData), page 4351–4356. IEEE, December 2024. [ DOI | http ] |
| [2] | Russell Limber, William W. Hargrove, Forrest M. Hoffman, and Jitendra Kumar. Forecast of wildfire potential across california usa using a transformer. In 2024 IEEE International Conference on Big Data (BigData), page 4342–4350. IEEE, December 2024. [ DOI | http ] |
| [3] | Russ Limber, Elias C. Massoud, Bin Guan, Forrest M. Hoffman, and Jitendra Kumar. Influence of atmospheric rivers on alaskan river ice. Geophysical Research Letters, 51(23), December 2024. [ DOI | http ] |
| [4] | 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, 11:305, 2024. https://doi.org/10.1038/s41597-024-03139-w. [ DOI ] |
| [5] | 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, 129, e2023JG007702, 2024. https://doi.org/10.1029/2023JG007702. [ DOI ] |
2023
| [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. [ 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. [ 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. [ 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. [ 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. [ 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. [ 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. [ 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. [ 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. [ 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. [ 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. [ 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. [ 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. [ 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. [ 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. [ 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/. [ 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. [ 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. [ 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. [ DOI | 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. [ 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. [ DOI | 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. [ DOI | 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. [ DOI | ] |
| [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. [ DOI | ] |
| [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. [ DOI | ] |
| [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. [ DOI | ] |
| [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. [ DOI | 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. [ DOI | arXiv | 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. [ DOI | ] |
| [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. [ DOI | 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. [ 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. [ 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. [ 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. [ 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. [ 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. [ DOI | ] |
| [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. [ 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. [ 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. [ DOI | ] |
| [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. [ DOI | 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. [ DOI | ] |
| [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. [ DOI | 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. [ DOI | 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. [ DOI | 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. [ DOI | ] |
| [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. [ DOI | 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. [ DOI | 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. [ DOI | ] |
| [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. [ DOI | ] |
| [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. |
| [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. |
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. [ DOI | 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. [ DOI | ] |
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. [ DOI | ] |
| [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. [ DOI | ] |
| [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. [ DOI | ] |
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. [ DOI | ] |
| [2] | Jitendra Kumar. Asynchronous Hierarchical Parallel Evolutionary Algorithm-Based Framework for Water Distribution Systems Analysis. PhD thesis, North Carolina State University, 2010. [ 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. [ 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. [ 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. [ DOI | 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. [ DOI | 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. [ 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. [ 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. [ DOI | 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. |
| [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. [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. |