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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985815%3A_____%2F20%3A00533966" target="_blank" >RIV/67985815:_____/20:00533966 - isvavai.cz</a>

Výsledek na webu

<a href="http://hdl.handle.net/11104/0312190" target="_blank" >http://hdl.handle.net/11104/0312190</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/rs12101639" target="_blank" >10.3390/rs12101639</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20705 - Remote sensing

Projekt

<a href="/cs/project/LTT18011" target="_blank" >LTT18011: Časové změny fyzikálních polí zemského jádra z pozorování geopotenciálních družic</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Remote Sensing

ISSN

2072-4292

e-ISSN

—

Svazek periodika

12

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

34

Strana od-do

1639

Kód UT WoS článku

000543394800106

EID výsledku v databázi Scopus

2-s2.0-85085553886