Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

An iterative ICA-based reconstruction method to produce consistent time-variable total water storage fields using GRACE and swarm satellite data

Forootan, Ehsan ORCID: https://orcid.org/0000-0003-3055-041X, Schumacher, Maike, Mehrnegar, Nooshin, Bezděk, Aleš, Talpe, Matthieu J., Farzaneh, Saeed, Zhang, Chaoyang, Zhang, Yu and Shum, C. K. 2020. An iterative ICA-based reconstruction method to produce consistent time-variable total water storage fields using GRACE and swarm satellite data. Remote Sensing 12 (10) , 1639. 10.3390/rs12101639

[thumbnail of Forootan_MDPIRS2020_ICA.pdf]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (4MB) | Preview

Abstract

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 ∼300 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 ∼1500 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

Item Type: Article
Date Type: Publication
Status: Published
Schools: Earth and Environmental Sciences
Publisher: MDPI
ISSN: 2072-4292
Funders: DAAD
Date of First Compliant Deposit: 29 May 2020
Date of Acceptance: 14 May 2020
Last Modified: 07 May 2023 12:36
URI: https://orca.cardiff.ac.uk/id/eprint/131969

Citation Data

Cited 20 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics