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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2019-05-01
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| Series: | Earth System Science Data |
| Online Access: | https://www.earth-syst-sci-data.net/11/717/2019/essd-11-717-2019.pdf |
| Summary: | <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> |
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| ISSN: | 1866-3508 1866-3516 |