An Iterative ICA-Based Reconstruction Method to Produce Consistent Time-Variable Total Water Storage Fields Using GRACE and Swarm Satellite Data

0533966 - ASÚ 2021 RIV CH eng J - Článek v odborném periodiku
Forootan, E. - Schumacher, M. - Mehrnegar, N. - Bezděk, Aleš - Talpe, M.J. - Farzaneh, S. - Zhang, Ch. - Zhang, Yu. - Shum, C.K.
An Iterative ICA-Based Reconstruction Method to Produce Consistent Time-Variable Total Water Storage Fields Using GRACE and Swarm Satellite Data.
Remote Sensing. Roč. 12, č. 10 (2020), č. článku 1639. E-ISSN 2072-4292
Grant CEP: GA MŠMT(CZ) LTT18011
Institucionální podpora: RVO:67985815
Klíčová slova: independent component analysis * earths gravity-field * middle-east
Obor OECD: Remote sensing
Impakt faktor: 4.848, rok: 2020
Způsob publikování: Open access

Observing global terrestrial water storage changes (TWSCs) from (inter-)seasonal to (multi-)decade time-scales is very important to understand the Earth as a system under natural and anthropogenic climate change. The primary goal of the Gravity Recovery And Climate Experiment (GRACE) satellite mission (2002-2017) and its follow-on mission (GRACE-FO, 2018-onward) is to provide time-variable gravity fields, which can be converted to TWSCs with <mml:semantics>similar to 300</mml:semantics> km spatial resolution. However, the one year data gap between GRACE and GRACE-FO represents a critical discontinuity, which cannot be replaced by alternative data or model with the same quality. To fill this gap, we applied time-variable gravity fields (2013-onward) from the Swarm Earth explorer mission with low spatial resolution of <mml:semantics>similar to 1500</mml:semantics> km. A novel iterative reconstruction approach was formulated based on the independent component analysis (ICA) that combines the GRACE and Swarm fields. The reconstructed TWSC fields of 2003-2018 were compared with a commonly applied reconstruction technique and GRACE-FO TWSC fields, whose results indicate a considerable noise reduction and long-term consistency improvement of the iterative ICA reconstruction technique. They were applied to evaluate trends and seasonal mass changes (of 2003-2018) within the world's 33 largest river basins.
Trvalý link: http://hdl.handle.net/11104/0312190