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Assimilation of radar radial winds in the HIRLAM 3D-Var
SMHI, Research Department, Meteorology.ORCID iD: 0000-0003-4870-5459
SMHI, Core Services.ORCID iD: 0000-0001-7370-8788
2000 (English)In: Physics and chemistry of the earth. Part B: Hydrology, oceans and atmosphere, ISSN 1464-1909, E-ISSN 1873-4677, Vol. 25, no 10-12, 1243-1249 p.Article in journal (Refereed) Published
Abstract [en]

During the last decade several attempts of assimilating radar wind data into atmospheric models have been reported by various research groups. Some of these are briefly reviewed here. A three-dimensional variational data assimilation (3D-Var) scheme for the High Resolution Limited Area Model (HIRLAM) forecasting system has been developed and prepared for assimilation of low elevation angle radar radial wind superobservations. The HIRLAM 3D-Var is based on a minimization of a cost function that consists of one term measuring the distance between the resulting analysis and a background field, which is a short-range forecast, and another term measuring the distance between the analysis and the observations. The development required for assimilating the radial wind data includes software for generating and managing the superobservations from polar volume data, a quality control algorithm and an observation operator for providing the model counterpart of the observation. The functionality of the components have been evaluated through assimilation experiments using data from Finnish and Swedish radars and further studies are underway. (C) 2000 Elsevier Science Ltd. All rights reserved.

Place, publisher, year, edition, pages
2000. Vol. 25, no 10-12, 1243-1249 p.
National Category
Meteorology and Atmospheric Sciences
Research subject
Meteorology
Identifiers
URN: urn:nbn:se:smhi:diva-1524DOI: 10.1016/S1464-1909(00)00187-8ISI: 000089473300083OAI: oai:DiVA.org:smhi-1524DiVA: diva2:846766
Conference
1st European Conference on Radar Meterology, SEP 04-08, 2000, BOLOGNA, ITALY
Available from: 2015-08-18 Created: 2015-08-17 Last updated: 2017-12-04Bibliographically approved

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Lindskog, MagnusMichelson, Daniel

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