1. 利用Swarm 星群探测亚马逊流域2015-2016年 干旱事件.
- Author
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李夫鹏, 王正涛, 超能芳, 冯建迪, 张兵兵, 田坤俊, and 韩亚坤
- Subjects
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GLOBAL Positioning System , *DROUGHTS , *FORECASTING , *METEOROLOGICAL precipitation - Abstract
The Swarm satellite is equipped with the Global Positioning System (GPS) receiver and ac⁃ celerometer, which can be used to restore Earth’s temporal gravity field model. Firstly, the terrestrial wa⁃ ter storage (TWS) variability and 2015-2016 drought induced TWS deficits in the Amazon basin are esti⁃ mated from the Swarm time ⁃ variable gravity field model between December 2013 and December 2016. Then, the estimated results from Swarm data are compared to the results derived from Gravity Recovery and Climate Experiment (GRACE), three hydrological models (Global Land Data Assimilation System (GLDAS), Climate Predication Center (CPC), National Centers for Environmental Prediction (NCEP)) and 4 virtual stations (AMZ_076, AMZ_152, AMZ_ 228 and AMZ_215). Finally, the precipitation and temperature data are employed to study the origination of the drought event in the Amazon basin. The re⁃ sults indicate that the TWS derived from Swarm, GRACE, hydrological models, and virtual stations are in high consistency in the space/time distribution; Swarm provided a new perspective in detecting TWS, which has a potential to substitute GRACE satellite in studying the extremely drought and flood in the Ama⁃ zon basin. The results in this paper may provide a reference in understanding Earth’s mass transformation by Swarm. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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