| 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 | 660 | 2015 |
| 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 | 282 | 2021 |
| 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 | 273 | 2015 |
| 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 Laboratory (LANL), Los Alamos, NM (United States …, 2015 | 216 | 2015 |
| Pflotran user manual PC Lichtner, GE Hammond, C Lu, S Karra, G Bisht, B Andre, RT Mills, ... Technical Report, 2013 | 153 | 2013 |
| 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 | 117 | 2011 |
| 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 | 72 | 2020 |
| 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 2016, 1-25, 2016 | 67 | 2016 |
| Representativeness-based sampling network design for the State of Alaska FM Hoffman, J Kumar, RT Mills, WW Hargrove Landscape Ecology, 1-20, 2013 | 66 | 2013 |
| 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 | 59 | 2019 |
| 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 | 59 | 2019 |
| 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 | 57 | 2022 |
| 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 | 46 | 2011 |
| 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 | 45 | 2016 |
| 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 | 44 | 2012 |
| 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 | 41 | 2018 |
| 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 | 39 | 2016 |
| 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 | 36 | 2016 |
| 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 | 36* | 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 | 34 | 2019 |
Forrest M. HoffmanOak Ridge National LaboratoryVerified email at climatemodeling.org
