Implementation of a Discrete Dipole Approximation Scattering Database Into Community Radiative Transfer Model

dc.contributor.authorMoradi, Isaac
dc.contributor.authorStegmann, Patrick
dc.contributor.authorJohnson, Benjamin
dc.contributor.authorBarlakas, Vasileios
dc.contributor.authorEriksson, Patrick
dc.contributor.authorGeer, Alan
dc.contributor.authorGelaro, Ronald
dc.contributor.authorKalluri, Satya
dc.contributor.authorKleist, Daryl
dc.contributor.authorLiu, Quanhua
dc.contributor.authorMccarty, Will
dc.date.accessioned2023-10-03T16:39:10Z
dc.date.available2023-10-03T16:39:10Z
dc.date.issued2022-12-07
dc.description.abstractThe Community Radiative Transfer Model (CRTM) is a fast model that requires bulk optical properties of hydrometeors in the form of lookup tables to simulate all-sky satellite radiances. Current cloud scattering lookup tables of CRTM were generated using the Mie-Lorenz theory thus assuming spherical shapes for all frozen habits, while actual clouds contain frozen hydrometeors with different shapes. The Discrete Dipole Approximation (DDA) technique is an effective technique for simulating the optical properties of non-spherical hydrometeors in the microwave region. This paper discusses the implementation and validation of a comprehensive DDA cloud scattering database into CRTM for the microwave frequencies. The original DDA database assumes total random orientation in the calculation of single scattering properties. The mass scattering parameters required by CRTM were then computed from single scattering properties and water content dependent particle size distributions. The new lookup tables eliminate the requirement for providing the effective radius as input to CRTM by using the cloud water content for the mass dimension. A collocated dataset of short-term forecasts from Integrated Forecast System of the European Center for Medium-Range Weather Forecasts and satellite microwave data was used for the evaluation of results. The results overall showed that the DDA lookup tables, in comparison with the Mie tables, greatly reduce the differences among simulated and observed values. The Mie lookup tables especially introduce excessive scattering for the channels operating below 90 GHz and low scattering for the channels above 90 GHz.
dc.description.urihttps://doi.org/10.1029/2022JD036957
dc.identifierhttps://doi.org/10.13016/dspace/tht9-x5l7
dc.identifier.citationMoradi, I., Stegmann, P., Johnson, B., Barlakas, V., Eriksson, P., Geer, A., et al. (2022). Implementation of a discrete dipole approximation scattering database into community radiative transfer model. Journal of Geophysical Research: Atmospheres, 127, e2022JD036957.
dc.identifier.urihttp://hdl.handle.net/1903/30660
dc.language.isoen_US
dc.publisherWiley
dc.relation.isAvailableAtCollege of Computer, Mathematical & Natural Sciencesen_us
dc.relation.isAvailableAtAtmospheric & Oceanic Scienceen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectradiative transfer
dc.subjectdiscrete dipole approximation
dc.subjectmie scattering
dc.subjectcloud scattering
dc.subjectdata assimilation
dc.subjectmicrowave instruments
dc.titleImplementation of a Discrete Dipole Approximation Scattering Database Into Community Radiative Transfer Model
dc.typeArticle
local.equitableAccessSubmissionNo

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