Grey Nearing
Grey Nearing
Verified email at
Cited by
Cited by
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
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
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
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
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
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
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
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
The quantity and quality of information in hydrologic models
GS Nearing, HV Gupta
Water Resources Research 51 (1), 524-538, 2015
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
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
Rainfall–runoff prediction at multiple timescales with a single Long Short-Term Memory network
M Gauch, F Kratzert, D Klotz, G Nearing, J Lin, S Hochreiter
Hydrology and Earth System Sciences 25 (4), 2045-2062, 2021
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
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
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
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
Uncertainty estimation with deep learning for rainfall–runoff modeling
D Klotz, F Kratzert, M Gauch, A Keefe Sampson, J Brandstetter, ...
Hydrology and Earth System Sciences 26 (6), 1673-1693, 2022
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
Deep learning rainfall–runoff predictions of extreme events
JM Frame, F Kratzert, D Klotz, M Gauch, G Shelev, O Gilon, LM Qualls, ...
Hydrology and Earth System Sciences 26 (13), 3377-3392, 2022
The system can't perform the operation now. Try again later.
Articles 1–20