Single-footprint retrievals for AIRS using a fast TwoSlab cloud-representation model and the SARTA all-sky infrared radiative transfer algorithm

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dc.contributor.authorDeSouza-Machado, Sergio
dc.contributor.authorStrow, L. Larrabee
dc.contributor.authorTangborn, Andrew
dc.contributor.authorHuang, Xianglei
dc.contributor.authorChen, Xiuhong
dc.contributor.authorLiu, Xu
dc.contributor.authorWu, Wan
dc.contributor.authorYang, Qiguang
dc.date.accessioned2018-02-06T14:40:41Z
dc.date.available2018-02-06T14:40:41Z
dc.date.issued2018
dc.description.abstractOne-dimensional variational retrievals of temperature and moisture fields from hyperspectral infrared (IR) satellite sounders use cloud-cleared radiances (CCRs) as their observation. These derived observations allow the use of clear-sky-only radiative transfer in the inversion for geophysical variables but at reduced spatial resolution compared to the native sounder observations. Cloud clearing can introduce various errors, although scenes with large errors can be identified and ignored. Information content studies show that, when using multilayer cloud liquid and ice profiles in infrared hyperspectral radiative transfer codes, there are typically only 2–4 degrees of freedom (DOFs) of cloud signal. This implies a simplified cloud representation is sufficient for some applications which need accurate radiative transfer. Here we describe a single-footprint retrieval approach for clear and cloudy conditions, which uses the thermodynamic and cloud fields from numerical weather prediction (NWP) models as a first guess, together with a simple cloud-representation model coupled to a fast scattering radiative transfer algorithm (RTA). The NWP model thermodynamic and cloud profiles are first co-located to the observations, after which the N-level cloud profiles are converted to two slab clouds (TwoSlab; typically one for ice and one for water clouds). From these, one run of our fast cloud-representation model allows an improvement of the a priori cloud state by comparing the observed and model-simulated radiances in the thermal window channels. The retrieval yield is over 90 %, while the degrees of freedom correlate with the observed window channel brightness temperature (BT) which itself depends on the cloud optical depth. The cloud-representation and scattering package is benchmarked against radiances computed using a maximum random overlap (RMO) cloud scheme. All-sky infrared radiances measured by NASA's Atmospheric Infrared Sounder (AIRS) and NWP thermodynamic and cloud profiles from the European Centre for Medium-Range Weather Forecasts (ECMWF) forecast model are used in this paper.en_US
dc.description.urihttps://www.atmos-meas-tech.net/11/529/2018/en_US
dc.format.extent22 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/M2MG7FX5M
dc.identifier.citationDeSouza-Machado, S., L, L. S., Tangborn, A., Huang, X., Chen, X., Liu, X., . . . Yang, Q. (2018). Single-footprint retrievals for AIRS using a fast TwoSlab cloud-representation model and the SARTA all-sky infrared radiative transfer algorithm. Atmospheric Measurement Techniques, 11(1), 529-550. http://dx.doi.org/10.5194/amt-11-529-2018en_US
dc.identifier.urihttp://hdl.handle.net/11603/7749
dc.language.isoen_USen_US
dc.publisherCopernicus GmbHen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology
dc.relation.ispartofUMBC Physics Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please contact the author.
dc.rightsAttribution 4.0 International (CC BY 4.0)*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectWeather forecastingen_US
dc.subjectCloud optical depthen_US
dc.subjectRadiative transferen_US
dc.subjectweatheren_US
dc.subjectcloudsen_US
dc.subjecttemperatureen_US
dc.subjectmathematical modelsen_US
dc.subjectsatellitesen_US
dc.subjectSpatial discriminationen_US
dc.subjectBrightness temperatureen_US
dc.subjectprofilesen_US
dc.subjectrepresentationsen_US
dc.subjectcomputer simulationen_US
dc.subjecterrorsen_US
dc.subjectfieldsen_US
dc.subjectMeteorological satellitesen_US
dc.subjectscatteringen_US
dc.subjectAtmospheric Infrared Sounderen_US
dc.subjectOptical analysisen_US
dc.subjectSpatial resolutionen_US
dc.subjectClimate modelsen_US
dc.subjectAtmospheric modelsen_US
dc.subjectGeophysicsen_US
dc.subjectInfrareden_US
dc.subjectyielden_US
dc.subjectfootprintsen_US
dc.subjectskyen_US
dc.subjectdegrees of freedomen_US
dc.subjectSurface radiation temperatureen_US
dc.subjectUMBC High Performance Computing Facility (HPCF)
dc.titleSingle-footprint retrievals for AIRS using a fast TwoSlab cloud-representation model and the SARTA all-sky infrared radiative transfer algorithmen_US
dc.typeTexten_US

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