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contributor authorLu, Huijuan
contributor authorXu, Qin
date accessioned2017-06-09T16:22:34Z
date available2017-06-09T16:22:34Z
date copyright2009/06/01
date issued2009
identifier issn1558-8424
identifier otherams-66724.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4208092
description abstractAssimilation experiments are carried out with simulated radar radial-velocity observations to examine the impacts of observation accuracy and resolutions on storm-scale wind assimilation with an ensemble square root filter (EnSRF) on a storm-resolving grid (?x = 2 km). In this EnSRF, the background covariance is estimated from an ensemble of 40 imperfect-model predictions. The observation error includes both measurement error and representativeness error, and the error variance is estimated from the simulated observations against the simulated ?truth.? The results show that the analysis is not significantly improved when the measurement error is overly reduced (from 4 to 1 m s?1) and becomes smaller than the representativeness error. The analysis can be improved by properly coarsening the observation resolution (to 2 km in the radial direction) with an increase in measurement accuracy and further improved by properly enhancing the temporal resolution of radar volume scans (from every 5 to 2 or 1 min) with a decrease in measurement accuracy. There can be an optimal balance or trade-off between measurement accuracy and resolutions (in space and time) for configuring radar scans, especially phased-array radar scans, to improve storm-scale radar wind analysis and assimilation.
publisherAmerican Meteorological Society
titleTrade-Offs between Measurement Accuracy and Resolutions in Configuring Phased-Array Radar Velocity Scans for Ensemble-Based Storm-Scale Data Assimilation
typeJournal Paper
journal volume48
journal issue6
journal titleJournal of Applied Meteorology and Climatology
identifier doi10.1175/2008JAMC2009.1
journal fristpage1230
journal lastpage1244
treeJournal of Applied Meteorology and Climatology:;2009:;volume( 048 ):;issue: 006
contenttypeFulltext


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