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Assessment of Temporal Variations of Orthometric/Normal Heights Induced by Hydrological Mass Variations over Large River Basins Using GRACE Mission Data

Authors :
Malgorzata Szelachowska
Walyeldeen Godah
Jagat Dwipendra Ray
Jan Krynski
Source :
Remote Sensing, Volume 12, Issue 18, Remote Sensing, Vol 12, Iss 3070, p 3070 (2020)
Publication Year :
2020
Publisher :
Multidisciplinary Digital Publishing Institute, 2020.

Abstract

Almost half of the Earth&rsquo<br />s land is covered by large river basins. Temporal variations of hydrological masses induce time-varying gravitational potential and temporal mass loading that deforms the Earth&rsquo<br />s surface. These phenomena cause temporal variations of geoid/quasigeoid and ellipsoidal heights that result in temporal variations of orthometric/normal heights &Delta<br />H/&Delta<br />H*. The aim of this research is to assess &Delta<br />H* induced by hydrological masses over large river basins using the Gravity Recovery and Climate Experiment (GRACE) satellite mission data. The results obtained reveal that for the river basin of a strong hydrological signal, &Delta<br />H* reach 8 cm. These &Delta<br />H* would be needed to reliably determine accurate orthometric/normal heights. The &Delta<br />H* do not exceed &plusmn<br />1 cm in the case of the river basin of the weak hydrological signal. The relation between hydrological mass changes and &Delta<br />H* was investigated. Correlations between &Delta<br />H* and temporal variations of equivalent water thickness were observed in 87% of river basins subareas out of which 45% exhibit strong correlations. The &Delta<br />H* determined over two river basins that characterize with the strongest and weakest temporal variations were analysed using the Principal Component Analysis method. The results obtained reveal that &Delta<br />H* in subareas of the same river basin can significantly differ (e.g., &plusmn<br />2 cm in the Amazon basin) from each other, and are strongly associated with different spatio-temporal patterns of the entire river basin.

Details

Language :
English
ISSN :
20724292
Database :
OpenAIRE
Journal :
Remote Sensing
Accession number :
edsair.doi.dedup.....4e4296a8dd4cca317a6748f6d73b6e31
Full Text :
https://doi.org/10.3390/rs12183070