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contributor authorPrivé, N. C.
contributor authorErrico, R. M.
contributor authorTai, K.-S.
date accessioned2017-06-09T17:31:28Z
date available2017-06-09T17:31:28Z
date copyright2014/05/01
date issued2014
identifier issn0027-0644
identifier otherams-86696.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4230282
description abstractost rawinsondes are launched once or twice daily, at 0000 and/or 1200 UTC; only a small number of the total rawinsonde observations are taken at 0600 and 1800 UTC (?off hour? cycle times). In this study, the variations of forecast and analysis quality between cycle times and the potential improvement of skill due to supplemental rawinsonde measurements at 0600 and 1800 UTC are tested in the framework of an observing system simulation experiment (OSSE). The National Aeronautics and Space Administration Global Modeling and Assimilation Office (NASA GMAO) Goddard Earth Observing System Model, version 5 (GEOS-5), is used with the GMAO OSSE setup for an experiment emulating the months of July and August with the 2011 observational network. The OSSE is run with and without supplemental rawinsonde observations at 0600 and 1800 UTC, and the differences in analysis error and forecast skill are quantified. The addition of supplemental rawinsonde observations results in significant improvement of analysis quality in the Northern Hemisphere for both the 0000/1200 and 0600/1800 UTC cycle times, with greater improvement for the off-hour times. Reduction of root-mean-square errors on the order of 1%?3% for wind and temperature is found at the 24- and 48-h forecast times. There is a slight improvement in Northern Hemisphere anomaly correlations at the 120-h forecast time.
publisherAmerican Meteorological Society
titleThe Impact of Increased Frequency of Rawinsonde Observations on Forecast Skill Investigated with an Observing System Simulation Experiment
typeJournal Paper
journal volume142
journal issue5
journal titleMonthly Weather Review
identifier doi10.1175/MWR-D-13-00237.1
journal fristpage1823
journal lastpage1834
treeMonthly Weather Review:;2014:;volume( 142 ):;issue: 005
contenttypeFulltext


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