|The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system|
KE Mitchell, D Lohmann, PR Houser, EF Wood, JC Schaake, A Robock, ...
J. Geophys. Res 109 (D7), D07, 2004
|Photosynthetic seasonality of global tropical forests constrained by hydroclimate|
K Guan, M Pan, H Li, A Wolf, J Wu, D Medvigy, KK Caylor, J Sheffield, ...
Nature Geoscience 8 (4), 284-289, 2015
|Multi-decadal trends in global terrestrial evapotranspiration and its components|
Y Zhang, JL Peńa-Arancibia, TR McVicar, FHS Chiew, J Vaze, C Liu, X Lu, ...
Scientific reports 6, 19124, 2016
|Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling|
HE Beck, N Vergopolan, M Pan, V Levizzani, AIJM Van Dijk, GP Weedon, ...
Hydrology and Earth System Sciences 21 (12), 6201, 2017
|Snow process modeling in the North American Land Data Assimilation System (NLDAS): 2. Evaluation of model simulated snow water equivalent|
M Pan, J Sheffield, EF Wood, KE Mitchell, PR Houser, JC Schaake, ...
Journal of Geophysical Research: Atmospheres 108 (D22), 2003
|Data assimilation for estimating the terrestrial water budget using a constrained ensemble Kalman filter|
M Pan, EF Wood
Journal of Hydrometeorology 7 (3), 534-547, 2006
|Vegetation control on water and energy balance within the Budyko framework|
D Li, M Pan, Z Cong, L Zhang, E Wood
Water Resources Research, 2013
|A first look at Climate Forecast System version 2 (CFSv2) for hydrological seasonal prediction|
X Yuan, EF Wood, L Luo, M Pan
Geophysical Research Letters 38 (13), L13402, 2011
|Estimation of regional terrestrial water cycle using multi-sensor remote sensing observations and data assimilation|
M Pan, EF Wood, R Wójcik, MF McCabe
Remote Sensing of Environment 112 (4), 1282-1294, 2008
|Bayesian merging of multiple climate model forecasts for seasonal hydrological predictions|
L Luo, EF Wood, M Pan
JOURNAL OF GEOPHYSICAL RESEARCH-ALL SERIES- 112 (D10), 10102, 2007
|Local and global factors controlling water‐energy balances within the Budyko framework|
X Xu, W Liu, BR Scanlon, L Zhang, M Pan
Geophysical Research Letters 40 (23), 6123-6129, 2013
|Water budget record from Variable Infiltration Capacity (VIC) model|
H Gao, Q Tang, X Shi, C Zhu, T Bohn, F Su, M Pan, J Sheffield, ...
|Multisource Estimation of Long-Term Terrestrial Water Budget for Major Global River Basins|
M Pan, AK Sahoo, TJ Troy, RK Vinukollu, J Sheffield, EF Wood
Journal of Climate 25 (9), 3191-3206, 2012
|SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia|
H Lievens, SK Tomer, A Al Bitar, GJM De Lannoy, M Drusch, G Dumedah, ...
Remote Sensing of Environment 168, 146-162, 2015
|Hydrological consistency using multi-sensor remote sensing data for water and energy cycle studies|
MF McCabe, EF Wood, R Wójcik, M Pan, J Sheffield, H Gao, H Su
Remote Sensing of Environment 112 (2), 430-444, 2008
|Inroads of remote sensing into hydrologic science during the WRR era|
DP Lettenmaier, D Alsdorf, J Dozier, GJ Huffman, M Pan, EF Wood
Water Resources Research 51 (9), 7309-7342, 2015
|Reconciling the global terrestrial water budget using satellite remote sensing|
AK Sahoo, M Pan, TJ Troy, RK Vinukollu, J Sheffield, EF Wood
Remote Sensing of Environment 115 (8), 1850-1865, 2011
|Snow process modeling in the North American Land Data Assimilation System (NLDAS): 1. Evaluation of model-simulated snow cover extent|
J Sheffield, M Pan, EF Wood, KE Mitchell, PR Houser, JC Schaake, ...
Journal of Geophysical Research 108 (D22), 8849, 2003
|CFSv2-based seasonal hydroclimatic forecasts over the conterminous United States|
X Yuan, EF Wood, JK Roundy, M Pan
Journal of Climate 26 (13), 4828-4847, 2013
|Assessing the skill of satellite-based precipitation estimates in hydrologic applications|
M Pan, H Li, E Wood
Water Resources Research 46 (9), W09535, 2010