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contributor authorSalonen, Kirsti
contributor authorCotton, James
contributor authorBormann, Niels
contributor authorForsythe, Mary
date accessioned2017-06-09T16:50:15Z
date available2017-06-09T16:50:15Z
date copyright2015/01/01
date issued2014
identifier issn1558-8424
identifier otherams-75033.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4217325
description abstracto ensure realistic use of atmospheric motion vector (AMV) observations in data assimilation, the error characteristics of the observation type need to be known and carefully taken into account. Assigning a height to the tracked feature is one of the most significant error sources for AMV observations. In this article, the characteristics of the AMV height-assignment error are studied by comparing model best-fit pressure statistics between the Met Office and ECMWF data assimilation systems. The aim is to provide detailed uncertainty estimates for the assigned pressure and to demonstrate that the best-fit pressure enables reliable estimation of the uncertainties in the AMV height assignment. Typical values for the standard deviation of the difference between the assigned pressure and the best-fit pressure are 50?80 hPa at high levels, 115?165 hPa at midlevels, and 60?125 hPa at low levels, depending on satellite, channel, and height-assignment method. Observed minus best-fit pressure biases are mostly within the range of ±50 hPa. The results are very similar for the Met Office and ECMWF systems, suggesting that the pressure differences are not strongly dependent on the data assimilation system. Furthermore, the findings are in good agreement with the expected characteristics of the height-assignment methods and quality of the observations. Thus, best-fit pressure statistics give reliable information about the uncertainties in the AMV height assignment.
publisherAmerican Meteorological Society
titleCharacterizing AMV Height-Assignment Error by Comparing Best-Fit Pressure Statistics from the Met Office and ECMWF Data Assimilation Systems
typeJournal Paper
journal volume54
journal issue1
journal titleJournal of Applied Meteorology and Climatology
identifier doi10.1175/JAMC-D-14-0025.1
journal fristpage225
journal lastpage242
treeJournal of Applied Meteorology and Climatology:;2014:;volume( 054 ):;issue: 001
contenttypeFulltext


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