Multi-sensor Advection Diffusion nowCast (MADCast) for cloud analysis and short-term prediction / by Gaël Descombes, Thomas Auligné, Hui-Chuan Lin, Dongmei Xu, Craig Schwartz, François Vandenberghe

By: Contributor(s): Series: | NCAR Technical NotesBoulder, CO : National Center for Atmospheric Research (NCAR), 2014Content type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISSN:
  • 2153-2397
  • 2153-2400
Subject(s): Online resources: Abstract: 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.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
REPORT REPORT NCAR Library Mesa Lab 03710 1 Available 50583020005124
Total holds: 0

2014 July

Technical Report

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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