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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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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