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A Unified Data-Driven Method to Derive Hydrologic Dynamics From Global SMAP Surface Soil Moisture and GPM Precipitation Data 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (2)
作者:  Mao, Yixin;  Crow, Wade T.;  Nijssen, Bart
收藏  |  浏览/下载：10/0  |  提交时间：2020/07/02
SMAP satellite  soil moisture dynamics  regression  hydrologic model  data-driven  
The past and future of global river ice 期刊论文
NATURE, 2020, 577 (7788) : 69-+
作者:  Yang, Xiao;  Pavelsky, Tamlin M.;  Allen, George H.
收藏  |  浏览/下载：7/0  |  提交时间：2020/05/13

More than one-third of Earth'  s landmass is drained by rivers that seasonally freeze over. Ice transforms the hydrologic(1,2), ecologic(3,4), climatic(5) and socio-economic(6-8) functions of river corridors. Although river ice extent has been shown to be declining in many regions of the world(1), the seasonality, historical change and predicted future changes in river ice extent and duration have not yet been quantified globally. Previous studies of river ice, which suggested that declines in extent and duration could be attributed to warming temperatures(9,10), were based on data from sparse locations. Furthermore, existing projections of future ice extent are based solely on the location of the 0-degrees C isotherm11. Here, using satellite observations, we show that the global extent of river ice is declining, and we project a mean decrease in seasonal ice duration of 6.10 +/- 0.08 days per 1-degrees C increase in global mean surface air temperature. We tracked the extent of river ice using over 400,000 clear-sky Landsat images spanning 1984-2018 and observed a mean decline of 2.5 percentage points globally in the past three decades. To project future changes in river ice extent, we developed an observationally calibrated and validated model, based on temperature and season, which reduced the mean bias by 87 per cent compared with the 0-degree-Celsius isotherm approach. We applied this model to future climate projections for 2080-2100: compared with 2009-2029, the average river ice duration declines by 16.7 days under Representative Concentration Pathway (RCP) 8.5, whereas under RCP 4.5 it declines on average by 7.3 days. Our results show that, globally, river ice is measurably declining and will continue to decline linearly with projected increases in surface air temperature towards the end of this century.


  
Diagnostic Evaluation of Large-Domain Hydrologic Models Calibrated Across the Contiguous United States 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (24) : 13991-14007
作者:  Rakovec, Oldrich;  Mizukami, Naoki;  Kumar, Rohini;  Newman, Andrew J.;  Thober, Stephan;  Wood, Andrew W.;  Clark, Martyn P.;  Samaniego, Luis
收藏  |  浏览/下载：13/0  |  提交时间：2020/02/17
spatially contiguous parameters  Variable Infiltration Capacity model  mesoscale Hydrologic Model  hydrologic model diagnosis  Multiscale Parameter Regionalization  evapotranspiration and runoff simulations  
Ensemble Streamflow Forecasting Using an Energy Balance Snowmelt Model Coupled to a Distributed Hydrologic Model with Assimilation of Snow and Streamflow Observations 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (12) : 10813-10838
作者:  Gichamo, Tseganeh Z.;  Tarboton, David G.
收藏  |  浏览/下载：12/0  |  提交时间：2020/02/16
ensemble streamflow forecast  Utah Energy Balance (UEB) snowmelt model  Research Distributed Hydrologic Model (RDHM)  data assimilation  ensemble Kalman filter (EnKF)  particle filter (PF)  
Seasonal hydroclimatic ensemble forecasts anticipate nutrient and suspended sediment loads using a dynamical-statistical approach 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (8)
作者:  Sharma, Sanjib;  Gall, Heather;  Gironas, Jorge;  Mejia, Alfonso
收藏  |  浏览/下载：4/0  |  提交时间：2019/11/27
ensembles  subseasonal-to-seasonal forecasting  water quantity/quality forecasting  hydrologic model  climate forecast system  
Distributed Hydrological Modeling Framework for Quantitative and Spatial Bias Correction for Rainfall, Snowfall, and Mixed-Phase Precipitation Using Vertical Profile of Temperature 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (9) : 4985-5009
作者:  Naseer, Asif;  Koike, Toshio;  Rasmy, Mohamad;  Ushiyama, Tomoki;  Shrestha, Maheswor
收藏  |  浏览/下载：7/0  |  提交时间：2019/11/26
vertical profile of temperature  distributed hydrologic model lapse rate  mountainous region  
Hydrologic Observation, Model, and Theory Congruence on Evapotranspiration Variance: Diagnosis of Multiple Observations and Land Surface Models 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (11) : 9074-9095
作者:  Zeng, Ruijie;  Cai, Ximing
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
evapotranspiration  hydroclimatic variability  terrestrial water storage  hydrologic observations uncertainty  land surface model diagnosis  
Potential Underestimation of Future Mei-Yu Rainfall with Coarse-Resolution Climate Models 期刊论文
JOURNAL OF CLIMATE, 2018, 31 (17) : 6711-6727
作者:  Chen, Xiaolong;  Wu, Peili;  Roberts, Malcolm J.;  Zhou, Tianjun
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
Monsoons  Climate prediction  Hydrologic cycle  Water budget  Climate models  Model comparison  
Discriminating the precipitation phase based on different temperature thresholds in the Songhua River Basin, China 期刊论文
ATMOSPHERIC RESEARCH, 2018, 205: 48-59
作者:  Zhong, Keyuan;  Zheng, Fenli;  Xu, Ximeng;  Qin, Chao
收藏  |  浏览/下载：8/0  |  提交时间：2019/04/09
Precipitation phase  Threshold temperature  Snowfall  Hydrologic process  Hydrological model  The Songhua River Basin  
Evaluating Global Land Surface Models in CMIP5: Analysis of Ecosystem Water- and Light-Use Efficiencies and Rainfall Partitioning 期刊论文
JOURNAL OF CLIMATE, 2018, 31 (8) : 2995-3008
作者:  Li, Longhui;  Wang, Yingping;  Arora, Vivek K.;  Eamus, Derek;  Shi, Hao;  Li, Jing;  Cheng, Lei;  Cleverly, James;  Hajima, T.;  Ji, Duoying;  Jones, C.;  Kawamiya, M.;  Li, Weiping;  Tjiputra, J.;  Wiltshire, A.;  Zhang, Lu;  Yu, Qiang
收藏  |  浏览/下载：20/0  |  提交时间：2019/04/09
Ecological models  Hydrologic models  Land surface model  Model comparison  Model evaluation  performance