J. Kumar

发表

CTFS‐ForestGEO: a worldwide network monitoring forests in an era of global change

Norman A. Bourg, Sean C. Thomas, J. Zimmerman, 2015, Global change biology.

EarthInsights: Parallel Clustering of Large Earth Science Datasets on the Summit Supercomputer

Jitendra Kumar, William W. Hargrove, Sarat Sreepathi, 2018 .

Mapping crops within the growing season across the United States

W. Hargrove, A. Ganguly, F. Hoffman, 2020 .

Using reactive transport codes to provide biogeochemistry representations in land surface models : A proof of concept with CLM-PFLOTRAN 1 . 0

F. Hoffman, P. Lichtner, P. Thornton, 2016 .

A Case Study on Miscible and Immiscible Gas-Injection Pilots in a Middle East Carbonate Reservoir in an Offshore Environment

J. Kumar, Pawan Agrawal, E. Draoui, 2017 .

A Model-Inspired Sampling Network Design and Representativeness Methodology for the Arctic

L. Hinzman, E. Schuur, S. Wullschleger, 2013 .

Gas Injection EOR Screening by Laboratory Experiment and Sector Modeling in Carbonate Reservoir

J. Kumar, Fatmah Yammahi, T. Nakashima, 2015 .

Representativeness assessment of the pan-Arctic eddy-covariance site network, and optimized future enhancements

F. Hoffman, M. Mauritz, E. Schuur, 2021 .

Modeling In-Situ Upgrading of Extraheavy Oils/Tar Sands by Subsurface Pyrolysis

B. Corre, J. Kumar, L. Fusetti, 2011 .

Quantifying Carbon Cycle Extremes and Attributing Their Causes Under Climate and Land Use and Land Cover Change From 1850 to 2300

A. Ganguly, F. Hoffman, N. Collier, 2022, Journal of Geophysical Research: Biogeosciences.

Empirical Mining of Large Data Sets Already Helps to Solve Practical Ecological Problems; A Panoply of Working Examples (Invited)

Jitendra Kumar, William W. Hargrove, Forrest M. Hoffman, 2013 .

Wildfire Mapping in Interior Alaska Using Deep Neural Networks on Imbalanced Datasets

Jitendra Kumar, Forrest M. Hoffman, Zachary L. Langford, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Understanding the representativeness of FLUXNET for upscaling carbon flux from eddy covariance measurements

Nathan Collier, Jitendra Kumar, William W. Hargrove, 2016 .

Global 4 km resolution monthly gridded Gross Primary Productivity (GPP) data set derived from FLUXNET2015

W. Hargrove, F. Hoffman, N. Collier, 2016 .

Landscape Characterization and RepresentativenessAnalysis for Understanding Sampling Network Coverage

W. Hargrove, F. Hoffman, J. Kumar, 2014 .

Data Mining in Earth System Science (DMESS 2011)

Jian Huang, Jitendra Kumar, Ranga Raju Vatsavai, 2011, ICCS.

Carbon cycle extremes accelerate weakening of the land carbon sink in the late 21st century

A. Ganguly, F. Hoffman, J. Kumar, 2023, Biogeosciences.

Progress Towards Coupled Simulation of Surface/Subsurface Hydrologic Processes and Terrestrial Ecosystem Dynamics Using the Community Models PFLOTRAN and CLM

Satish Karra, Gautam Bisht, Jitendra Kumar, 2012 .

Spatial patterns of snow distribution in the sub-Arctic

S. Wullschleger, K. Bennett, R. Busey, 2022, The Cryosphere.

AI-Constrained Bottom-Up Ecohydrology and Improved Prediction of Seasonal, Interannual, and Decadal Flood and Drought Risks

Richard K. Archibald, J. Randerson, D. Lawrence, 2021 .

Root structural and functional dynamics in terrestrial biosphere models--evaluation and recommendations.

Jitendra Kumar, Anthony P Walker, Paul J Hanson, 2015, The New phytologist.

Detecting Outliers in Streaming Time Series Data from ARM Distributed Sensors

Jitendra Kumar, Nathan Collier, Michael A. Langston, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Mapping ecoregions under climate change: a case study from the biological ‘crossroads’ of three continents, Turkey

W. Hargrove, F. Hoffman, J. Kumar, 2018, Landscape Ecology.

Parallel k-Means Clustering of Geospatial Data Sets Using Manycore CPU Architectures

Jitendra Kumar, William W. Hargrove, Richard Tran Mills, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Convolutional Neural Network Approach for Mapping Arctic Vegetation Using Multi-Sensor Remote Sensing Fusion

Jitendra Kumar, Forrest M. Hoffman, Zachary L. Langford, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Mapping Arctic Plant Functional Type Distributions in the Barrow Environmental Observatory Using WorldView-2 and LiDAR Datasets

Jitendra Kumar, Forrest M. Hoffman, Colleen M. Iversen, 2016, Remote. Sens..

Characterization and Classification of Vegetation Canopy Structure and Distribution within the Great Smoky Mountains National Park Using LiDAR

Jitendra Kumar, William W. Hargrove, Forrest M. Hoffman, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

Representativeness-based sampling network design for the State of Alaska

Richard T. Mills, William W. Hargrove, Forrest M. Hoffman, 2013, Landscape Ecology.

Parallel k-Means Clustering for Quantitative Ecoregion Delineation Using Large Data Sets

Jitendra Kumar, William W. Hargrove, Richard Tran Mills, 2011, ICCS.

Imprints of Mesozoic-Paleozoic strata and Eocene Carbonates in J&K Sub-Himalaya : Potential Rocks for Hydrocarbon Exploration

J. Kumar, V. Ranjan, 2006 .

A Case Study on Miscible and Immiscible Gas Injection Pilots in Middle East Carbonate Reservoir in an Offshore Environment

Jitendra Kumar, Elyes Draoui, Pawan Agrawal, 2015 .

Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites

T. A. Black, W. S. Chan, W. Oechel, 2021, Agricultural and Forest Meteorology.

Automated Integration of Continental-Scale Observations in Near-Real Time for Simulation and Analysis of Biosphere-Atmosphere Interactions

K. Davis, W. Wieder, F. Hoffman, 2020, SMC.

Representativeness assessment of the pan-Arctic eddy covariance site network and optimized future enhancements

F. Hoffman, M. Mauritz, E. Schuur, 2022, Biogeosciences.

Spatial Patterns of Snow Distribution for Improved Earth System Modelling in the Arctic

K. Bennett, R. Busey, C. Wilson, 2021 .

Modeling the spatiotemporal variability in subsurface thermal regimes across a low-relief polygonal tundra landscape

Nathan Collier, Gautam Bisht, Jitendra Kumar, 2016 .

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

P. Thornton, M. Torn, G. Tang, 2014 .

Computationally Tractable High-Fidelity Representation of Global Hydrol-ogy in ESMs via Machine Learning Approaches to Scale-Bridging

Nathan Collier, Jitendra Kumar, Robert Jacob, 2021 .

Significant inconsistency of vegetation carbon density in CMIP5 Earth system models against observational data

F. Hoffman, Xiaofeng Xu, C. Iversen, 2017 .

Alder Distribution and Expansion Across a Tundra Hillslope: Implications for Local N Cycling

P. Thornton, S. Wullschleger, M. Lara, 2019, Front. Plant Sci..

Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks

Jitendra Kumar, Forrest M. Hoffman, Colleen M. Iversen, 2019, Remote. Sens..

Ramgarh Magnetic Anomaly in the Chambal Valley Sector of Vindhyan Basin: a Possible Meteorite Impact Structure and its Implications in Hydrocarbon Exploration

Rajesh Sharma, J. Kumar, M. S. Negi, 2011 .

Sub-daily Statistical Downscaling of Meteorological Variables Using Neural Networks

Jitendra Kumar, Peter E. Thornton, Michael C. Dietze, 2012, ICCS.

Phenology of the

W. Hargrove, F. Hoffman, R. Mills, 2011 .

Quantitative Representativeness and Constituency of the Long-Term Agroecosystem Research Network and Analysis of Complementarity with Existing Ecological Networks.

W. Hargrove, A. Coffin, C. Baffaut, 2023, Environmental management.

Modeling Functional Organic Chemistry in Arctic Rivers: An Idealized Siberian System

G. Gibson, F. Hoffman, S. Elliott, 2020, Atmosphere.

Using Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes

A. Ganguly, F. Hoffman, J. Kumar, 2022, 2022 IEEE International Conference on Data Mining Workshops (ICDMW).

HPC infrastructure to support the next-generation ARM facility data operations

Jitendra Kumar, Giri Prakash, Jimmy W. Voyles, 2016, 2016 IEEE International Conference on Big Data (Big Data).

Convolutional Neural Network Approach for Mapping Arctic Vegetation Using Multi-Sensor Remote Sensing Fusion

Zachary L. Langford, F. Hoffman, J. Kumar, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Representing the Unrepresented Impact of River Ice on Hydrology, Biogeochemistry, Vegetation, and Geomorphology: A Hybrid Physics-Machine Learning Approach

J. Kumar, 2021 .

Parallel Multivariate Spatio-Temporal Clustering of Large Ecological Datasets on Hybrid Supercomputers

Jitendra Kumar, William W. Hargrove, Richard Tran Mills, 2017, 2017 IEEE International Conference on Cluster Computing (CLUSTER).

Deep Transfer Learning With Field-Based Measurements for Large Area Classification

Jitendra Kumar, Forrest M. Hoffman, Zachary L. Langford, 2019, 2019 International Conference on Data Mining Workshops (ICDMW).

Data Mining in Earth System Science (DMESS 2011)

Ranga Raju Vatsavai, W. Hargrove, A. Ganguly, 2011, ICCS.