Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/12824
The MUSICA IASI {H2O, δD} pair product
Title: The MUSICA IASI {H2O, δD} pair product
Authors: Diekmann, ChristopherSchneider, Matthias RESEARCHERID Ertl, BenjaminHase, FrankGarcía Rodríguez, Omaira Elena ORCID RESEARCHERID Khosrawi, FarahnazSepúlveda Hernández, EliezerKnippertz, PeterBraesicke, Peter
Keywords: Radiance measurements; Cycle of Atmospheric water; Isotopologues; IASI
Issue Date: 2021
Publisher: Copernicus Publications
Citation: Earth System Science Data Discussions. 2021
Publisher version: https://dx.doi.org/10.5194/essd-2021-87
Abstract: We present a global and multi-annual space-borne dataset of tropospheric {H2O, 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 H2O 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 H2O and δD. Here, this standard MUSICA method for deriving {H2O, 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 {H2O, 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). In total, the dataset covers more than 1200 million individually processed observations. The retrievals are most sensitivity to variations of {H2O, δD} pairs within the free troposphere, with up to 30 % of all retrievals containing vertical profile information in the {H2O, δD} pair product. After applying appropriate quality filters, the largest number of reliable pair data arises for tropical and subtropical summer regions, but also for higher latitudes there is a considerable amount of reliable data. Exemplary time-series over the Tropical Atlantic and West Africa are chosen to illustrates the potential of the MUSICA IASI {H2O, δD} pair data for atmospheric moisture pathway studiess. Finally, the dataset is referenced with the DOI 10.35097/415 (Diekmann et al., 2021).
Sponsorship : This work has strongly benefited from the project MUSICA (funded by the European Research Council under the European Communitys Seventh Framework Programme (FP7/2007-2013)/ERC Grant Agreement number 256961), from financial support in the context of the projects MOTIV and TEDDY (funded by the Deutsche Forschungsgemeinschaft under project IDs/Geschäftszeichen 950290612604/GZ:SCHN1126/2-1 and 416767181/GZ:SCHN1126/5-1, respectively) and INMENSE (funded by the Ministerio de Economía y Competividad from Spain, CGL2016-80688-P).
URI: http://hdl.handle.net/20.500.11765/12824
ISSN: 1866-3591
Appears in Collections:Artículos científicos 2019-2021


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