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Yixin Mao
Yixin Mao
Lead Data Scientist, Salesforce
uw.edu üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Is climate change implicated in the 2013–2014 California drought? A hydrologic perspective
Y Mao, B Nijssen, DP Lettenmaier
Geophysical Research Letters 42 (8), 2805-2813, 2015
1872015
The Variable Infiltration Capacity model version 5 (VIC-5): Infrastructure improvements for new applications and reproducibility
JJ Hamman, B Nijssen, TJ Bohn, DR Gergel, Y Mao
Geoscientific Model Development 11 (8), 3481-3496, 2018
1862018
How do modeling decisions affect the spread among hydrologic climate change projections? Exploring a large ensemble of simulations across a diversity of hydroclimates
OS Chegwidden, B Nijssen, DE Rupp, JR Arnold, MP Clark, JJ Hamman, ...
Earth's Future 7 (6), 623-637, 2019
1012019
mizuRoute version 1: a river network routing tool for a continental domain water resources applications
N Mizukami, MP Clark, K Sampson, B Nijssen, Y Mao, H McMillan, ...
Geoscientific Model Development 9 (6), 2223-2238, 2016
462016
An integrated hydrological modeling approach for detection and attribution of climatic and human impacts on coastal water resources
D Feng, Y Zheng, Y Mao, A Zhang, B Wu, J Li, Y Tian, X Wu
Journal of Hydrology 557, 305-320, 2018
392018
A Thermally Stratified Reservoir Module for Large‐Scale Distributed Stream Temperature Models With Application in the Tennessee River Basin
RJ Niemeyer, Y Cheng, Y Mao, JR Yearsley, B Nijssen
Water Resources Research 54 (10), 8103-8119, 2018
362018
Hydroclimatic conditions preceding the March 2014 Oso landslide
B Henn, Q Cao, DP Lettenmaier, CS Magirl, C Mass, J Brent Bower, ...
Journal of Hydrometeorology 16 (3), 1243-1249, 2015
302015
A Framework for Diagnosing Factors Degrading the Streamflow Performance of a Soil Moisture Data Assimilation System
Y Mao, WT Crow, B Nijssen
Journal of Hydrometeorology 20 (1), 79-97, 2019
242019
mizuRoute version 1: a river network routing tool for a continental domain water resources applications, Geosci. Model Dev., 9, 2223–2238
N Mizukami, MP Clark, K Sampson, B Nijssen, Y Mao, H McMillan, ...
gmd-9-2223-2016, 2016
222016
Trends and Interannual Variability in Terrestrial Water Storage Over the Eastern United States, 2003–2016
Q Cao, EA Clark, Y Mao, DP Lettenmaier
Water Resources Research 55 (3), 1928-1950, 2019
172019
Dual state/rainfall correction via soil moisture assimilation for improved streamflow simulation: evaluation of a large-scale implementation with Soil Moisture Active Passive …
Y Mao, WT Crow, B Nijssen
Hydrology and Earth System Sciences 24 (2), 615-631, 2020
132020
A unified data‐driven method to derive hydrologic dynamics from global SMAP surface soil moisture and GPM precipitation data
Y Mao, WT Crow, B Nijssen
Water Resources Research 56 (2), e2019WR024949, 2020
112020
Climate change impacts on river temperature in the southeastern United States: a case study of the Tennessee River basin
Y Cheng, RJ Niemeyer, Y Mao, JR Yearsley, B Nijssen
AGU Fall Meeting Abstracts 2016, H33C-1545, 2016
22016
Dual State/Rainfall Correction via Soil Moisture Assimilation for Improved Hydrologic Prediction-A Synthetic Study Using the VIC Model in the Arkansas-Red River Basin
Y Mao, WT Crow, B Nijssen
AGU Fall Meeting Abstracts 2016, H33H-1655, 2016
12016
Hydrologic climate change impacts in the Columbia River Basin and their sensitivity to methodological choices
O Chegwidden, B Nijssen, Y Mao, DE Rupp
AGU Fall Meeting Abstracts 2016, H11C-03, 2016
12016
BramDr/VIC: VIC-WOFOST
J Hamman, B Nijssen, B Droppers, T Bohn, WHP Franssen, D Gergel, ...
2019
A thermally-stratified reservoir module for large scale stream temperature model with implementation in the Tennessee River Basin
Y Cheng, RJ Niemeyer, Y Mao, JR Yearsley, N Voisin, B Nijssen
AGU Fall Meeting Abstracts 2018, U12B-11, 2018
2018
Learning Surface Soil Moisture Behavior from Global SMAP and GPM Satellite Data
Y Mao, WT Crow, B Nijssen
AGU Fall Meeting Abstracts 2018, H31H-1993, 2018
2018
Extracting hydrologic information from the Soil Moisture Active Passive (SMAP) satellite data for improved hydrologic modeling
Y Mao
2018
A 3-step framework for understanding the added value of surface soil moisture measurements for large-scale runoff prediction via data assimilation-a synthetic study in the …
Y Mao, WT Crow, B Nijssen
AGU Fall Meeting Abstracts 2017, H54C-01, 2017
2017
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Makaleler 1–20