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Doppler radar wind data assimilation with HIRLAM 3DVAR
SMHI, Research Department, Meteorology.ORCID iD: 0000-0003-4870-5459
SMHI, Core Services.ORCID iD: 0000-0001-7370-8788
2004 (English)In: Monthly Weather Review, ISSN 0027-0644, E-ISSN 1520-0493, Vol. 132, no 5, 1081-1092 p.Article in journal (Refereed) Published
Abstract [en]

A Doppler radar wind data assimilation system has been developed for the three-dimensional variational data assimilation (3DVAR) scheme of the High Resolution Limited Area Model (HIRLAM). Radar wind observations can be input for the multivariate HIRLAM 3DVAR either as radial wind superobservations (SOs) or as vertical profiles of horizontal wind obtained with the velocity-azimuth display (VAD) technique. The radar wind data handling system, including data processing, quality control, and observation operators for the 3DVAR, are described and evaluated. Background error standard deviation (sigma(b)) in observation space for wind and radial wind have been estimated by the so-called randomization method. The derived values of sigma(b) are used in the quality control of observations and also in the assignment of radar wind observation error standard deviations (sigma(o)). Parallel data assimilation and forecast experiments confirm reasonably tuned error statistics and indicate a small positive impact of radar wind data on the verification scores, for both inputs.

Place, publisher, year, edition, pages
2004. Vol. 132, no 5, 1081-1092 p.
National Category
Meteorology and Atmospheric Sciences
Research subject
Meteorology
Identifiers
URN: urn:nbn:se:smhi:diva-1322DOI: 10.1175/1520-0493(2004)132<1081:DRWDAW>2.0.CO;2ISI: 000221195200003OAI: oai:DiVA.org:smhi-1322DiVA: diva2:814169
Available from: 2015-05-26 Created: 2015-05-26 Last updated: 2016-04-08Bibliographically approved

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