Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology

<p>The European Space Agency's Climate Change Initiative for Soil Moisture (ESA CCI SM) merging algorithm generates consistent quality-controlled long-term (1978–2018) climate data records for soil moisture, which serves thousands of scientists and data users worldwide. It harmonises and...

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Main Authors: A. Gruber, T. Scanlon, R. van der Schalie, W. Wagner, W. Dorigo
Format: Article
Language:English
Published: Copernicus Publications 2019-05-01
Series:Earth System Science Data
Online Access:https://www.earth-syst-sci-data.net/11/717/2019/essd-11-717-2019.pdf
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spelling doaj-e2cf5f9dbe88423ba6b28eb08ccbd0ab2020-11-24T20:47:08ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162019-05-011171773910.5194/essd-11-717-2019Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodologyA. Gruber0A. Gruber1T. Scanlon2R. van der Schalie3W. Wagner4W. Dorigo5Department of Earth and Environmental Sciences, KU Leuven, Heverlee, BelgiumDepartment of Geodesy and Geoinformation, TU Wien, Vienna, AustriaDepartment of Geodesy and Geoinformation, TU Wien, Vienna, AustriaVanderSat, Haarlem, the NetherlandsDepartment of Geodesy and Geoinformation, TU Wien, Vienna, AustriaDepartment of Geodesy and Geoinformation, TU Wien, Vienna, Austria<p>The European Space Agency's Climate Change Initiative for Soil Moisture (ESA CCI SM) merging algorithm generates consistent quality-controlled long-term (1978–2018) climate data records for soil moisture, which serves thousands of scientists and data users worldwide. It harmonises and merges soil moisture retrievals from multiple satellites into (i) an active-microwave-based-only product, (ii) a passive-microwave-based-only product and (iii) a combined active–passive product, which are sampled to daily global images on a 0.25<span class="inline-formula"><sup>∘</sup></span> regular grid. Since its first release in 2012 the algorithm has undergone substantial improvements which have so far not been thoroughly reported in the scientific literature. This paper fills this gap by reviewing and discussing the science behind the three major ESA CCI SM merging algorithms, versions 2 (<a href="https://doi.org/10.5285/3729b3fbbb434930bf65d82f9b00111c">https://doi.org/10.5285/3729b3fbbb434930bf65d82f9b00111c</a>; <span class="cit" id="xref_altparen.1"><a href="#bib1.bibx76">Wagner et al.</a>, <a href="#bib1.bibx76">2018</a></span>), 3 (<a href="https://doi.org/10.5285/b810601740bd4848b0d7965e6d83d26c">https://doi.org/10.5285/b810601740bd4848b0d7965e6d83d26c</a>; <span class="cit" id="xref_altparen.2"><a href="#bib1.bibx21">Dorigo et al.</a>, <a href="#bib1.bibx21">2018</a></span>) and 4 (<a href="https://doi.org/10.5285/dce27a397eaf47e797050c220972ca0e">https://doi.org/10.5285/dce27a397eaf47e797050c220972ca0e</a>; <span class="cit" id="xref_altparen.3"><a href="#bib1.bibx22">Dorigo et al.</a>, <a href="#bib1.bibx22">2019</a></span>), and provides an outlook on the expected improvements planned for the next algorithm, version 5.</p>https://www.earth-syst-sci-data.net/11/717/2019/essd-11-717-2019.pdf
collection DOAJ
language English
format Article
sources DOAJ
author A. Gruber
A. Gruber
T. Scanlon
R. van der Schalie
W. Wagner
W. Dorigo
spellingShingle A. Gruber
A. Gruber
T. Scanlon
R. van der Schalie
W. Wagner
W. Dorigo
Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology
Earth System Science Data
author_facet A. Gruber
A. Gruber
T. Scanlon
R. van der Schalie
W. Wagner
W. Dorigo
author_sort A. Gruber
title Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology
title_short Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology
title_full Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology
title_fullStr Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology
title_full_unstemmed Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology
title_sort evolution of the esa cci soil moisture climate data records and their underlying merging methodology
publisher Copernicus Publications
series Earth System Science Data
issn 1866-3508
1866-3516
publishDate 2019-05-01
description <p>The European Space Agency's Climate Change Initiative for Soil Moisture (ESA CCI SM) merging algorithm generates consistent quality-controlled long-term (1978–2018) climate data records for soil moisture, which serves thousands of scientists and data users worldwide. It harmonises and merges soil moisture retrievals from multiple satellites into (i) an active-microwave-based-only product, (ii) a passive-microwave-based-only product and (iii) a combined active–passive product, which are sampled to daily global images on a 0.25<span class="inline-formula"><sup>∘</sup></span> regular grid. Since its first release in 2012 the algorithm has undergone substantial improvements which have so far not been thoroughly reported in the scientific literature. This paper fills this gap by reviewing and discussing the science behind the three major ESA CCI SM merging algorithms, versions 2 (<a href="https://doi.org/10.5285/3729b3fbbb434930bf65d82f9b00111c">https://doi.org/10.5285/3729b3fbbb434930bf65d82f9b00111c</a>; <span class="cit" id="xref_altparen.1"><a href="#bib1.bibx76">Wagner et al.</a>, <a href="#bib1.bibx76">2018</a></span>), 3 (<a href="https://doi.org/10.5285/b810601740bd4848b0d7965e6d83d26c">https://doi.org/10.5285/b810601740bd4848b0d7965e6d83d26c</a>; <span class="cit" id="xref_altparen.2"><a href="#bib1.bibx21">Dorigo et al.</a>, <a href="#bib1.bibx21">2018</a></span>) and 4 (<a href="https://doi.org/10.5285/dce27a397eaf47e797050c220972ca0e">https://doi.org/10.5285/dce27a397eaf47e797050c220972ca0e</a>; <span class="cit" id="xref_altparen.3"><a href="#bib1.bibx22">Dorigo et al.</a>, <a href="#bib1.bibx22">2019</a></span>), and provides an outlook on the expected improvements planned for the next algorithm, version 5.</p>
url https://www.earth-syst-sci-data.net/11/717/2019/essd-11-717-2019.pdf
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