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Water storage changes over great lake from satellite gravimetry and tidal data

He Huang, Ruoming Shi, Guangjian Yan

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Abstract

In this study, by processing the 78 months of GRACE Satellite data, validates the performance of GRACE solutions in the detection of water mass variations and compared with tidal data derived water circulation cycle of the Great Lakes. The results show that the GRACE monthly gravity field model can reflect the changes in the Great Lakes area, including the annual and seasonal changes. Combination of satellite altimetry data to further understand the water cycle of Caspian Sea, that is between groundwater and lake water infiltration cycle.

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What this paper is about

In this study, by processing the 78 months of GRACE Satellite data, validates the performance of GRACE solutions in the detection of water mass variations and compared with tidal data derived water circulation cycle of the Great Lakes. The results show that the GRACE monthly gravity field model can reflect the changes in the Great Lakes area, including the annual and seasonal changes. Combination of satellite altimetry data to further understand the water cycle of Caspian Sea, that is between groundwater and lake water infiltration cycle.

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Available abstract

In this study, by processing the 78 months of GRACE Satellite data, validates the performance of GRACE solutions in the detection of water mass variations and compared with tidal data derived water circulation cycle of the Great Lakes. The results show that the GRACE monthly gravity field model can reflect the changes in the Great Lakes area, including the annual and seasonal changes. Combination of satellite altimetry data to further understand the water cycle of Caspian Sea, that is between groundwater and lake water infiltration cycle.

Key concepts: Altimeter, Water cycle, Water level, Satellite altimetry, Satellite, Environmental science, Water storage, Gravimetry

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