Significant Inconsistency of Vegetation Carbon Density in CMIP5 Earth System Models against Observational Data. Journal of Geophysical Research: Biogeosciences.. 2017.
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.
Estimating heterotrophic respiration at large scales: challenges, approaches, and next steps. Ecosphere. 7(6):e01380.. 2016.
HPC infrastructure to support the next-generation ARM facility data operations. 2016 IEEE International Conference on Big Data (Big Data)2016 IEEE International Conference on Big Data (Big Data).. 2016.
Mapping Arctic Plant Functional Type Distributions in the Barrow Environmental Observatory Using WorldView-2 and LiDAR Datasets. Remote Sensing. 8(9):733.. 2016.
Modeling the spatio-temporal variability in subsurface thermal regimes across a low-relief polygonal tundra landscape. The Cryosphere Discussions. :1-32.. 2016.
Characterization and Classification of Vegetation Canopy Structure and Distribution within the Great Smoky Mountains National Park Using LiDAR. 2015 IEEE International Conference on Data Mining Workshop (ICDMW)2015 IEEE International Conference on Data Mining Workshop (ICDMW).. 2015.
Root structural and functional dynamics in terrestrial biosphere models - evaluation and recommendations. New Phytologist. 205(1):59-78.. 2015.
CTFS-ForestGEO: a worldwide network monitoring forests in an era of global change. Global Change Biology. :n/a-n/a.. 2014.
Root structural and functional dynamics in terrestrial biosphere models - evaluation and recommendations. New Phytologist. :n/a-n/a.. 2014.
Identification and Visualization of Dominant Patterns and Anomalies in Remotely Sensed Vegetation Phenology Using a Parallel Tool for Principal Components Analysis. Procedia Computer Science. 18:2396-2405.. 2013.
Representativeness-based sampling network design for the State of Alaska. Landscape Ecology.. 2013.
Cluster Analysis-Based Approaches for Geospatiotemporal Data Mining of Massive Data Sets for Identification of Forest Threats. Procedia Computer Science. 4:1612-1621.. 2011.
Data Mining in Earth System Science (DMESS 2011). Procedia Computer Science. 4:1450-1455.. 2011.
Parallel k-Means Clustering for Quantitative Ecoregion Delineation Using Large Data Sets. Procedia Computer Science. 4:1602-1611.. 2011.