Please use this identifier to cite or link to this item:
Atmospheric motion vectors from model simulations. Part II: Interpretation as spatial and vertical averages of wind and role of clouds
Title: Atmospheric motion vectors from model simulations. Part II: Interpretation as spatial and vertical averages of wind and role of clouds
Authors: Hernández Carrascal, ÁngelesAutor AEMETBormann, Niels
Keywords: Cloud tracking; Cloud motion winds; Satellite observations; Data assimilation
Issue Date: 2014
Publisher: American Meteorological Society
Citation: Journal of Applied Meteorology and Climatology. 2014, 53(1), p. 65-53
Publisher version:
Abstract: This is the second part of a two-part paper whose main objective is to improve the characterization of atmospheric motion vectors (AMVs) and their errors to guide developments in the use of AMVs in numerical weather prediction (NWP). AMVs tend to exhibit considerable systematic and random errors. These errors can arise in the AMV derivation or the interpretation of AMVs as single-level point estimates of wind. An important difficulty in the study of AMV errors is the scarcity of collocated observations of clouds and wind. The study uses instead a simulation framework: geostationary imagery for Meteorological Satellite-8 (Meteosat-8) is generated from a high-resolution simulation with the Weather Research and Forecasting regional model, and AMVs are derived from sequences of these simulated images. The NWP model provides the “truth” with a sophisticated description of the atmosphere. This second part focuses on alternative interpretations of AMVs. The key results are 1) that interpreting the AMVs as vertical and horizontal averages of wind can give some benefits over the traditional single-level interpretation (improvements in RMSVD of 5% for high-level AMVs and 20% for low-level AMVs) and 2) that there is evidence that AMVs are more representative of either a wind average over the model cloud layer or wind at a representative level within the cloud layer than of wind at the model cloud top or cloud base.
Sponsorship : The study was funded by EUMETSAT Contract EUM/CO/10/46000000785/RB.
ISSN: 1558-8424
Appears in Collections:Artículos científicos 2010-2014

Files in This Item:
  File Description SizeFormat 
2,15 MBAdobe PDFThumbnail
Show full item record

Items in Arcimis are protected by Creative Commons License, unless otherwise indicated.

Arcimis Repository
Nota Legal Contacto y sugerencias