COSP-RTTOV-1.0: Flexible radiation diagnostics to enable new science applications in model evaluation, climate change detection, and satellite mission design

dc.contributor.authorShaw, Jonah K.
dc.contributor.authorSwales, Dustin J.
dc.contributor.authorDesouza-Machado, Sergio
dc.contributor.authorTurner, David D.
dc.contributor.authorKay, Jennifer E.
dc.contributor.authorSchneider, David P.
dc.date.accessioned2025-03-11T14:43:05Z
dc.date.available2025-03-11T14:43:05Z
dc.date.issued45692
dc.description.abstractInfrared spectral radiation fields observed by satellites make up an information-rich, multi-decade record with continuous coverage of the entire planet. As direct observations, spectral radiation fields are also largely free from uncertainties that accumulate during geophysical retrieval and data assimilation processes. Comparing these direct observations with earth system models (ESMs), however, is hindered by definitional differences between the radiation fields satellites observe and those generated by models. Here, we present a flexible, computationally efficient tool called COSP-RTTOV for simulating satellitelike radiation fields within ESMs. Outputs from COSP-RTTOV are consistent with instrument spectral response functions and orbit sampling, as well as the physics of the host model. After validating COSP-RTTOV's performance, we demonstrate new constraints on model performance enabled by COSP-RTTOV. We show additional applications in climate change detection using the NASA AIRS instrument, and observing system simulation experiments using the NASA PREFIRE mission. In summary, COSP-RTTOV is a convenient tool for directly comparing satellite radiation observations with ESMs. It enables a wide range of scientific applications, especially when users desire to avoid the assumptions and uncertainties inherent in satellite-based retrievals of geophysical variables or in atmospheric reanalysis.
dc.description.sponsorshipJ. K. S., D. P.S., and J. E. K were supported by the NASA PREFIRE mission Award 849K995. J. K. S. was additionally supported by NASA FINESST Grant 80NSSC22K1. Computing and data storage resources, including the Cheyenne (doi:10.5065/D6RX99HX) 275 and Derecho (doi:10.5065/qx9a-pg09) supercomputers, were provided by the National Science Foundation’s National Center for Atmospheric Research (NSF NCAR)’s Computational and Information Systems Laboratory.
dc.description.urihttps://www.authorea.com/users/561389/articles/1264693-cosp-rttov-1-0-flexible-radiation-diagnostics-to-enable-new-science-applications-in-model-evaluation-climate-change-detection-and-satellite-mission-design?commit=e8af14e9f743880e4190f2015a6bc90ff1d75399
dc.format.extent24 pages
dc.genrejournal articles
dc.genrepreprints
dc.identifierdoi:10.13016/m2orcx-z62j
dc.identifier.urihttps://doi.org/10.22541/essoar.173869544.41368370/v1
dc.identifier.urihttp://hdl.handle.net/11603/37801
dc.language.isoen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology (JCET)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Physics Department
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/mark/1.0/
dc.titleCOSP-RTTOV-1.0: Flexible radiation diagnostics to enable new science applications in model evaluation, climate change detection, and satellite mission design
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-1991-5054

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