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Low-frequency variability of terrestrial water budget in China using GRACE satellite measurements from 2003 to 2010 被引量:1
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作者 Kang Kaixuan Li Hui +1 位作者 Peng Peng Zou Zhengbo 《Geodesy and Geodynamics》 2015年第6期444-452,共9页
Mass variations in terrestrial water storage(TWS) obtained from eight years of satellite data from the Gravity Recovery and Climate Experiment(GRACE) are used to describe low frequency TWS through Empirical Orthog... Mass variations in terrestrial water storage(TWS) obtained from eight years of satellite data from the Gravity Recovery and Climate Experiment(GRACE) are used to describe low frequency TWS through Empirical Orthogonal Function(EOF) analysis. Results of the second seasonal EOF mode show the influence of the Meiyu season. Annual variability is clearly shown in the precipitation distribution over China, and two new patterns of interannual variability are presented for the first time from observations, where two periods of abrupt acceleration are seen in 2004 and 2008. GRACE successfully measures drought events in southern China, and in this respect, an association with the Arctic Oscillation and El Nino-Southern Oscillation is discussed. This study demonstrates the unique potential of satellite gravity measurements in monitoring TWS variations and large-scale severe drought in China. 展开更多
关键词 Gravity recovery and climate experiment(GRACE) Terrestrial water storage Drought event global hydrology models Water vapor transport Drought event Empirical orthogonal function(EOF) El Nino-southern oscillation(ENSO)
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Parameter regionalization of the FLEX-Global hydrological model 被引量:1
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作者 Jingjing WANG Hongkai GAO +4 位作者 Min LIU Yongjian DING Yan WANG Fang ZHAO Jun XIA 《Science China Earth Sciences》 SCIE EI CSCD 2021年第4期571-588,共18页
Global hydrological models(GHMs) are important tools for addressing worldwide change-related water resource problems from a global perspective. However, the development of these models has long been hindered by their ... Global hydrological models(GHMs) are important tools for addressing worldwide change-related water resource problems from a global perspective. However, the development of these models has long been hindered by their low accuracy. In order to improve the streamflow simulation accuracy of GHMs, we developed a GHM—the FLEX-Global—based on the regionalization of hydrological model parameters. The FLEX-Global model is primarily based on the framework of the FLEX hydrological model coupled with the HAND-based Storage Capacity curve(HSC) runoff generation module to calculate net rainfall, and uses the global river-routing Ca Ma-Flood model to calculate river network routing. This new model allows for streamflow simulation at a spatial resolution of 0.5°×0.5° and a temporal resolution of 1 day in global catchments. To validate FLEX-Global accuracy, the FLEX-Global-simulated streamflow of 26 major rivers distributed in five different climate zones was compared with the observed data from the Global Runoff Data Center(GRDC). Next, the model performance of FLEXGlobal was further verified by comparing it with that of seven existing GHMs with varying accuracy in the five climate zones.Multi-metric evaluation indicated that the streamflow simulation accuracy was improved by the FLEX-Global model with regionalized parameters, especially in the tropical and dry climate zones. This newly-developed GHM with regionalized parameters can provide scientific support for the assessment of climate change impact, optimization of global water resource mangement, simulation of Earth's multi-sphere coupling, and implementation of the Inter-Sectoral Impact Model Intercomparison Project(ISIMIP). 展开更多
关键词 global hydrological model model performance Parameter regionalization
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