Grey Nearing
Grey Nearing
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The plumbing of land surface models: benchmarking model performance
MJ Best, G Abramowitz, HR Johnson, AJ Pitman, G Balsamo, A Boone, ...
Journal of Hydrometeorology 16 (3), 1425-1442, 2015
Partitioning evapotranspiration in semiarid grassland and shrubland ecosystems using time series of soil surface temperature
MS Moran, RL Scott, TO Keefer, WE Emmerich, M Hernandez, ...
agricultural and forest meteorology 149 (1), 59-72, 2009
Evaluating the utility of satellite soil moisture retrievals over irrigated areas and the ability of land data assimilation methods to correct for unmodeled processes
SV Kumar, CD Peters-Lidard, JA Santanello, RH Reichle, CS Draper, ...
Hydrology and Earth System Sciences 19 (11), 4463-4478, 2015
A philosophical basis for hydrological uncertainty
GS Nearing, Y Tian, HV Gupta, MP Clark, KW Harrison, SV Weijs
Hydrological Sciences Journal 61 (9), 1666-1678, 2016
Debates—The future of hydrological sciences: A (common) path forward? Using models and data to learn: A systems theoretic perspective on the future of hydrological science
HV Gupta, GS Nearing
Water Resources Research 50 (6), 5351-5359, 2014
The quantity and quality of information in hydrologic models
GS Nearing, HV Gupta
Water Resources Research 51 (1), 524-538, 2015
Benchmarking NLDAS-2 soil moisture and evapotranspiration to separate uncertainty contributions
GS Nearing, DM Mocko, CD Peters-Lidard, SV Kumar, Y Xia
Journal of hydrometeorology 17 (3), 745-759, 2016
Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets
F Kratzert, D Klotz, G Shalev, G Klambauer, S Hochreiter, G Nearing
Hydrology and Earth System Sciences 23 (12), 5089-5110, 2019
Assimilating remote sensing observations of leaf area index and soil moisture for wheat yield estimates: An observing system simulation experiment
GS Nearing, WT Crow, KR Thorp, MS Moran, RH Reichle, HV Gupta
Water Resources Research 48 (5), 2012
A ranking of hydrological signatures based on their predictability in space
N Addor, G Nearing, C Prieto, AJ Newman, N Le Vine, MP Clark
Water Resources Research 54 (11), 8792-8812, 2018
Toward improved predictions in ungauged basins: Exploiting the power of machine learning
F Kratzert, D Klotz, M Herrnegger, AK Sampson, S Hochreiter, GS Nearing
Water Resources Research 55 (12), 11344-11354, 2019
Benchmarking of a physically based hydrologic model
AJ Newman, N Mizukami, MP Clark, AW Wood, B Nijssen, G Nearing
Journal of Hydrometeorology 18 (8), 2215-2225, 2017
Estimating information entropy for hydrological data: One‐dimensional case
W Gong, D Yang, HV Gupta, G Nearing
Water Resources Research 50 (6), 5003-5018, 2014
Performance metrics, error modeling, and uncertainty quantification
Y Tian, GS Nearing, CD Peters-Lidard, KW Harrison, L Tang
Monthly Weather Review 144 (2), 607-613, 2016
The impact of vertical measurement depth on the information content of soil moisture times series data
J Qiu, WT Crow, GS Nearing, X Mo, S Liu
Geophysical Research Letters 41 (14), 4997-5004, 2014
The plumbing of land surface models: Is poor performance a result of methodology or data quality?
N Haughton, G Abramowitz, AJ Pitman, D Or, MJ Best, HR Johnson, ...
Journal of Hydrometeorology 17 (6), 1705-1723, 2016
Information loss in approximately Bayesian estimation techniques: A comparison of generative and discriminative approaches to estimating agricultural productivity
GS Nearing, HV Gupta, WT Crow
Journal of hydrology 507, 163-173, 2013
The impact of vertical measurement depth on the information content of soil moisture for latent heat flux estimation
J Qiu, WT Crow, GS Nearing
Journal of Hydrometeorology 17 (9), 2419-2430, 2016
Coupling diffusion and maximum entropy models to estimate thermal inertia
GS Nearing, MS Moran, RL Scott, G Ponce-Campos
Remote sensing of environment 119, 222-231, 2012
What role does hydrological science play in the age of machine learning?
GS Nearing, F Kratzert, AK Sampson, CS Pelissier, D Klotz, JM Frame, ...
Water Resources Research 57 (3), e2020WR028091, 2021
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