Multi-sensor Advection Diffusion nowCast (MADCast) for cloud analysis and short-term prediction

A new approach designed for the analysis and short-term forecasting of clouds,called Multi-sensor Advection-Diffusion nowCast (MADCast), has been implemented within the Weather Research and Forecasting (WRF) model and data assimilation platforms. In thisapproach, profiles of cloud fractions are retrieved from multiple infrared sensors using the Multivariate Minimum Residual (MMR) scheme. These profiles are then projected to the grid of the numerical weather prediction model, which is used to dynamically transport and diffuse the clouds in three dimensions.

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Author Descombes, Gael
Auligne, Thomas
Lin, Hui-Chuan
Xu, Dongmei
Schwartz, Craig
Vandenberghe, Francois
Publisher UCAR/NCAR - Library
Publication Date 2014-07-01T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T18:06:31.496215
Metadata Record Identifier edu.ucar.opensky::technotes:520
Metadata Language eng; USA
Suggested Citation Descombes, Gael, Auligne, Thomas, Lin, Hui-Chuan, Xu, Dongmei, Schwartz, Craig, Vandenberghe, Francois. (2014). Multi-sensor Advection Diffusion nowCast (MADCast) for cloud analysis and short-term prediction. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7gq6x6v. Accessed 19 April 2024.

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