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Jitendra Kumar
Jitendra Kumar
Research Staff Member, Oak Ridge National Laboratory
Verified email at climatemodeling.org - Homepage
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Cited by
Cited by
Year
CTFS‐Forest GEO: a worldwide network monitoring forests in an era of global change
KJ Anderson‐Teixeira, SJ Davies, AC Bennett, EB Gonzalez‐Akre, ...
Global change biology 21 (2), 528-549, 2015
6272015
Root structural and functional dynamics in terrestrial biosphere models–evaluation and recommendations
JM Warren, PJ Hanson, CM Iversen, J Kumar, AP Walker, ...
New Phytologist 205 (1), 59-78, 2015
2552015
PFLOTRAN user manual: A massively parallel reactive flow and transport model for describing surface and subsurface processes
PC Lichtner, GE Hammond, C Lu, S Karra, G Bisht, B Andre, R Mills, ...
Los Alamos National Lab.(LANL), Los Alamos, NM (United States); Sandia …, 2015
2032015
Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites
H Chu, X Luo, Z Ouyang, WS Chan, S Dengel, SC Biraud, MS Torn, ...
Agricultural and Forest Meteorology 301, 108350, 2021
1992021
Pflotran user manual
PC Lichtner, GE Hammond, C Lu, S Karra, G Bisht, B Andre, RT Mills, ...
Technical Report, 2013
1512013
Parallel k-means clustering for quantitative ecoregion delineation using large data sets
J Kumar, RT Mills, FM Hoffman, WW Hargrove
Procedia Computer Science 4, 1602-1611, 2011
1142011
Representativeness-based sampling network design for the State of Alaska
FM Hoffman, J Kumar, RT Mills, WW Hargrove
Landscape Ecology, 1-20, 2013
642013
Understanding the representativeness of FLUXNET for upscaling carbon flux from eddy covariance measurements
J Kumar, FM Hoffman, WW Hargrove, N Collier
Earth System Science Data Discussions, 1-25, 2016
622016
Alder distribution and expansion across a tundra hillslope: implications for local N cycling
VG Salmon, AL Breen, J Kumar, MJ Lara, PE Thornton, SD Wullschleger, ...
Frontiers in plant science 10, 1099, 2019
542019
Mapping crops within the growing season across the United States
VS Konduri, J Kumar, WW Hargrove, FM Hoffman, AR Ganguly
Remote Sensing of Environment 251, 112048, 2020
532020
Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks
Z Langford, J Kumar, F Hoffman, A Breen, C Iversen
Remote Sensing 11 (1), 69, 2019
512019
Cluster analysis-based approaches for geospatiotemporal data mining of massive data sets for identification of forest threats
RT Mills, FM Hoffman, J Kumar, WW Hargrove
Procedia Computer Science 4, 1612-1621, 2011
452011
Mapping Arctic Plant Functional Type Distributions in the Barrow Environmental Observatory Using WorldView-2 and LiDAR Datasets
Z Langford, J Kumar, FM Hoffman, RJ Norby, SD Wullschleger, VL Sloan, ...
Remote Sensing 8 (9), 733, 2016
432016
Sub-daily Statistical Downscaling of Meteorological Variables Using Neural Networks
J Kumar, BGJ Brooks, PE Thornton, MC Dietze
Procedia Computer Science 9, 887-896, 2012
402012
Estimating heterotrophic respiration at large scales: Challenges, approaches, and next steps
B Bond‐Lamberty, D Epron, J Harden, ME Harmon, F Hoffman, J Kumar, ...
Ecosphere 7 (6), e01380, 2016
392016
Informing Nature‐based Climate Solutions for the United States with the best‐available science
KA Novick, S Metzger, WRL Anderegg, M Barnes, DS Cala, K Guan, ...
Global change biology 28 (12), 3778-3794, 2022
372022
Wildfire Mapping in Interior Alaska Using Deep Neural Networks on Imbalanced Datasets
Z Langford, J Kumar, F Hoffman
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 770-778, 2018
372018
Modeling the spatiotemporal variability in subsurface thermal regimes across a low-relief polygonal tundra landscape
J Kumar, N Collier, G Bisht, RT Mills, PE Thornton, CM Iversen, ...
The Cryosphere 10 (5), 2241, 2016
352016
Modeling the spatio-temporal variability in subsurface thermal regimes across a low-relief polygonal tundra landscape: Modeling Archive
PE Thornton, J Kumar, CM Iversen, RT Mills, G Bisht, N Collier, ...
Next Generation Ecosystems Experiment-Arctic, Oak Ridge National Laboratory …, 2016
35*2016
Mechanistic Modeling of Microtopographic Impacts on CO2 and CH4 Fluxes in an Alaskan Tundra Ecosystem Using the CLM‐Microbe Model
Y Wang, F Yuan, F Yuan, B Gu, MS Hahn, MS Torn, DM Ricciuto, J Kumar, ...
Journal of Advances in Modeling Earth Systems 11 (12), 4288-4304, 2019
302019
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