The global and multi-annual MUSICA IASI {H2O, δD} pair dataset

We present a global and multi-annual space-borne dataset of tropospheric {H2O, δD</sp...

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Autores principales:	C. J. Diekmann, M. Schneider, B. Ertl, F. Hase, O. García, F. Khosrawi, E. Sepúlveda, P. Knippertz, P. Braesicke
Formato:	article
Lenguaje:	EN
Publicado:	Copernicus Publications 2021
Materias:	Environmental sciences GE1-350 Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/af346c88a63f419e9bc27f2673a2c523
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id	oai:doaj.org-article:af346c88a63f419e9bc27f2673a2c523
record_format	dspace
institution	DOAJ
collection	DOAJ
language	EN
topic	Environmental sciences GE1-350 Geology QE1-996.5
spellingShingle	Environmental sciences GE1-350 Geology QE1-996.5 C. J. Diekmann C. J. Diekmann M. Schneider B. Ertl B. Ertl F. Hase O. García F. Khosrawi E. Sepúlveda P. Knippertz P. Braesicke The global and multi-annual MUSICA IASI {H<sub>2</sub>O, <i>δ</i>D} pair dataset
description	<p>We present a global and multi-annual space-borne dataset of tropospheric {<span class="inline-formula">H<sub>2</sub>O</span>, <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span>} pairs that is based on radiance measurements from the nadir thermal infrared sensor IASI (Infrared Atmospheric Sounding Interferometer) on board the Metop satellites of EUMETSAT (European Organisation for the Exploitation of Meteorological Satellites). This dataset is an a posteriori processed extension of the MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water) IASI full product dataset as presented in <span class="cit" id="xref_text.1"><a href="#bib1.bibx38">Schneider et al.</a> (<a href="#bib1.bibx38">2021</a><a href="#bib1.bibx38">b</a>)</span>. From the independently retrieved <span class="inline-formula">H<sub>2</sub>O</span> and <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span> proxy states, their a priori settings and constraints, and their error covariances provided by the IASI full product dataset, we generate an optimal estimation product for pairs of <span class="inline-formula">H<sub>2</sub>O</span> and <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span>. Here, this standard MUSICA method for deriving {<span class="inline-formula">H<sub>2</sub>O</span>, <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span>} pairs is extended using an a posteriori reduction of the constraints for improving the retrieval sensitivity at dry conditions.</p> <p>By applying this improved water isotopologue post-processing for all cloud-free MUSICA IASI retrievals, this yields a {<span class="inline-formula">H<sub>2</sub>O</span>, <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span>} pair dataset for the whole period from October 2014 to December 2020 with global coverage twice per day (local morning and evening overpass times). In total, the dataset covers more than 1500 million individually processed observations. The retrievals are most sensitive to variations in {<span class="inline-formula">H<sub>2</sub>O</span>, <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span>} pairs within the free troposphere, with up to 30 % of all retrievals containing vertical profile information in the {<span class="inline-formula">H<sub>2</sub>O</span>, <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span>} pair product. After applying appropriate quality filters, the largest number of reliable pair data arises for tropical and subtropical summer regions, but higher latitudes also show a considerable amount of reliable data. Exemplary time series over the tropical Atlantic and West Africa are chosen to illustrate the potential of the MUSICA IASI {<span class="inline-formula">H<sub>2</sub>O</span>, <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span>} pair data for atmospheric moisture pathway studies. Furthermore, in order to facilitate the application of this rather comprehensive MUSICA IASI {<span class="inline-formula">H<sub>2</sub>O</span>, <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span>} pair dataset (referred to as Level-2), we additionally provide the data in a re-gridded and simplified format (Level-3) with focus on the quality-filtered {<span class="inline-formula">H<sub>2</sub>O</span>, <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span>} pairs in the free troposphere. A technical documentation for guiding the use of both datasets is attached as the Supplement. Finally, the Level-2 dataset is referenced with the DOI <a href="https://doi.org/10.35097/415">https://doi.org/10.35097/415</a> <span class="cit" id="xref_paren.2">(<a href="#bib1.bibx10">Diekmann et al.</a>, <a href="#bib1.bibx10">2021</a><a href="#bib1.bibx10">a</a>)</span> and the Level-3 dataset with DOI <a href="https://doi.org/10.35097/495">https://doi.org/10.35097/495</a> <span class="cit" id="xref_paren.3">(<a href="#bib1.bibx11">Diekmann et al.</a>, <a href="#bib1.bibx11">2021</a><a href="#bib1.bibx11">b</a>)</span>.</p>
format	article
author	C. J. Diekmann C. J. Diekmann M. Schneider B. Ertl B. Ertl F. Hase O. García F. Khosrawi E. Sepúlveda P. Knippertz P. Braesicke
author_facet	C. J. Diekmann C. J. Diekmann M. Schneider B. Ertl B. Ertl F. Hase O. García F. Khosrawi E. Sepúlveda P. Knippertz P. Braesicke
author_sort	C. J. Diekmann
title	The global and multi-annual MUSICA IASI {H<sub>2</sub>O, <i>δ</i>D} pair dataset
title_short	The global and multi-annual MUSICA IASI {H<sub>2</sub>O, <i>δ</i>D} pair dataset
title_full	The global and multi-annual MUSICA IASI {H<sub>2</sub>O, <i>δ</i>D} pair dataset
title_fullStr	The global and multi-annual MUSICA IASI {H<sub>2</sub>O, <i>δ</i>D} pair dataset
title_full_unstemmed	The global and multi-annual MUSICA IASI {H<sub>2</sub>O, <i>δ</i>D} pair dataset
title_sort	global and multi-annual musica iasi {h<sub>2</sub>o, <i>δ</i>d} pair dataset
publisher	Copernicus Publications
publishDate	2021
url	https://doaj.org/article/af346c88a63f419e9bc27f2673a2c523
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spelling	oai:doaj.org-article:af346c88a63f419e9bc27f2673a2c5232021-11-11T11:41:54ZThe global and multi-annual MUSICA IASI {H<sub>2</sub>O, <i>δ</i>D} pair dataset10.5194/essd-13-5273-20211866-35081866-3516https://doaj.org/article/af346c88a63f419e9bc27f2673a2c5232021-11-01T00:00:00Zhttps://essd.copernicus.org/articles/13/5273/2021/essd-13-5273-2021.pdfhttps://doaj.org/toc/1866-3508https://doaj.org/toc/1866-3516<p>We present a global and multi-annual space-borne dataset of tropospheric {<span class="inline-formula">H<sub>2</sub>O</span>, <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span>} pairs that is based on radiance measurements from the nadir thermal infrared sensor IASI (Infrared Atmospheric Sounding Interferometer) on board the Metop satellites of EUMETSAT (European Organisation for the Exploitation of Meteorological Satellites). This dataset is an a posteriori processed extension of the MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water) IASI full product dataset as presented in <span class="cit" id="xref_text.1"><a href="#bib1.bibx38">Schneider et al.</a> (<a href="#bib1.bibx38">2021</a><a href="#bib1.bibx38">b</a>)</span>. From the independently retrieved <span class="inline-formula">H<sub>2</sub>O</span> and <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span> proxy states, their a priori settings and constraints, and their error covariances provided by the IASI full product dataset, we generate an optimal estimation product for pairs of <span class="inline-formula">H<sub>2</sub>O</span> and <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span>. Here, this standard MUSICA method for deriving {<span class="inline-formula">H<sub>2</sub>O</span>, <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span>} pairs is extended using an a posteriori reduction of the constraints for improving the retrieval sensitivity at dry conditions.</p> <p>By applying this improved water isotopologue post-processing for all cloud-free MUSICA IASI retrievals, this yields a {<span class="inline-formula">H<sub>2</sub>O</span>, <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span>} pair dataset for the whole period from October 2014 to December 2020 with global coverage twice per day (local morning and evening overpass times). In total, the dataset covers more than 1500 million individually processed observations. The retrievals are most sensitive to variations in {<span class="inline-formula">H<sub>2</sub>O</span>, <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span>} pairs within the free troposphere, with up to 30 % of all retrievals containing vertical profile information in the {<span class="inline-formula">H<sub>2</sub>O</span>, <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span>} pair product. After applying appropriate quality filters, the largest number of reliable pair data arises for tropical and subtropical summer regions, but higher latitudes also show a considerable amount of reliable data. Exemplary time series over the tropical Atlantic and West Africa are chosen to illustrate the potential of the MUSICA IASI {<span class="inline-formula">H<sub>2</sub>O</span>, <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span>} pair data for atmospheric moisture pathway studies. Furthermore, in order to facilitate the application of this rather comprehensive MUSICA IASI {<span class="inline-formula">H<sub>2</sub>O</span>, <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span>} pair dataset (referred to as Level-2), we additionally provide the data in a re-gridded and simplified format (Level-3) with focus on the quality-filtered {<span class="inline-formula">H<sub>2</sub>O</span>, <span class="inline-formula"><i>δ</i></span><span class="inline-formula">D</span>} pairs in the free troposphere. A technical documentation for guiding the use of both datasets is attached as the Supplement. Finally, the Level-2 dataset is referenced with the DOI <a href="https://doi.org/10.35097/415">https://doi.org/10.35097/415</a> <span class="cit" id="xref_paren.2">(<a href="#bib1.bibx10">Diekmann et al.</a>, <a href="#bib1.bibx10">2021</a><a href="#bib1.bibx10">a</a>)</span> and the Level-3 dataset with DOI <a href="https://doi.org/10.35097/495">https://doi.org/10.35097/495</a> <span class="cit" id="xref_paren.3">(<a href="#bib1.bibx11">Diekmann et al.</a>, <a href="#bib1.bibx11">2021</a><a href="#bib1.bibx11">b</a>)</span>.</p>C. J. DiekmannC. J. DiekmannM. SchneiderB. ErtlB. ErtlF. HaseO. GarcíaF. KhosrawiE. SepúlvedaP. KnippertzP. BraesickeCopernicus PublicationsarticleEnvironmental sciencesGE1-350GeologyQE1-996.5ENEarth System Science Data, Vol 13, Pp 5273-5292 (2021)

The global and multi-annual MUSICA IASI {H<sub>2</sub>O, <i>δ</i>D} pair dataset

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