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The MUSICA IASI {H$_{2}$O, δD} pair product

Diekmann, Christopher J.; Schneider, Matthias; Ertl, Benjamin; Hase, Frank; García, Omaira; Khosrawi, Farahnaz; Sepúlveda, Eliezer; Knippertz, Peter ORCID iD icon; Braesicke, Peter

Abstract:

We present a global and multi-annual space-borne dataset of tropospheric {H$_{2}$O, δD} pairs that is based on radiance measurements from the nadir thermal infrared sensor IASI (Infrared Atmospheric Sounding Interferometer) onboard 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 Schneider et al. (2021b). From the independently retrieved H$_{2}$O and δD 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 H$_{2}$O and δD. Here, this standard MUSICA method for deriving {H$_{2}$O, δD} pairs is extended using an a posteriori reduction of the constraints for improving the retrieval sensitivity at dry conditions. By applying this improved water isotopologue post-processing for all cloud-free MUSICA IASI retrievals, this yields a {H$_{2}$O, δD} pair dataset for the whole period from October 2014 to June 2019 with a global coverage twice per day (local morning and evening overpass times). ... mehr


Preprint §
DOI: 10.5445/IR/1000132510
Veröffentlicht am 10.05.2021
Originalveröffentlichung
DOI: 10.5194/essd-2021-87
Dimensions
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Scientific Computing Center (SCC)
Universität Karlsruhe (TH) – Zentrale Einrichtungen (Zentrale Einrichtungen)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1866-3591
KITopen-ID: 1000132510
HGF-Programm 12.11.34 (POF IV, LK 01) Improved predictions from weather to climate scales
Weitere HGF-Programme 46.21.01 (POF IV, LK 01) Domain-Specific Simulation & SDLs and Research Groups
Erschienen in Earth system science data discussions
Verlag Copernicus Publications
Projektinformation MOTIV (DFG, DFG EIN, SCHN 1126/2-1)
Vorab online veröffentlicht am 30.03.2021
Nachgewiesen in Dimensions
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