Carbon
; Clustering approach
; Computational constraints
; Earth system model
; Environmental data
; Fully distributed modeling
; Geophysical fluid dynamics laboratories
; Global applications
; Macroscale models
; Big data
; climate modeling
; computational fluid dynamics
; data set
; landscape
; numerical model
; California
; Sierra Nevada [California]
; United States
Chaney, N.W., Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ, United States; Van Huijgevoort, M.H.J., Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ, United States; Shevliakova, E., NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States; Malyshev, S., NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States; Milly, P.C.D., US Geological Survey, Princeton, NJ, United States; Gauthier, P.P.G., Department of Geosciences, Princeton University, Princeton, NJ, United States; Sulman, B.N., Sierra Nevada Research Institute, University of California, Merced, CA, United States
Recommended Citation:
Chaney N.W.,Van Huijgevoort M.H.J.,Shevliakova E.,et al. Harnessing big data to rethink land heterogeneity in Earth system models[J]. Hydrology and Earth System Sciences,2018-01-01,22(6)