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contributor authorPeng, Melinda S.
contributor authorChang, Simon W.
date accessioned2017-06-09T16:10:51Z
date available2017-06-09T16:10:51Z
date copyright1996/06/01
date issued1996
identifier issn0027-0644
identifier otherams-62729.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4203653
description abstractSpecial Sensor Microwave/Imager (SSM/I) retrieved rainfall rates were assimilated into a limited-area numerical prediction model in an attempt to improve the initial analysis and forecast of a tropical cyclone. Typhoon Flo of 1990, which was observed in an intensive observation period of the Tropical Cyclone Motion Experiment-1990, was chosen for this study. The SSM/I retrieved rainfall rates within 888 km (8° latitude) of the storm center were incorporated into the initial fields by a reversed Kuo cumulus parameterization. In the procedure used here, the moisture field in the model is adjusted so that the model generates the SSM/I-observed rainfall rates. This scheme is applied through two different assimilation methods. The first method is based on a dynamic initialization in which the prediction model is integrated backward adiabatically to t = ?6 h and then forward diabatically for 6 h to the initial time. During the diabatic forward integration, the SSM/I rainfall rates are incorporated using the reversed Kuo cumulus parameterization. The second method is a forward data assimilation integration starting from t = ?12 h. From t = ?6 h to t = 0, the SSM/I rainfall rates are incorporated, also using the reversed Kuo scheme. During this period, the momentum fields are relaxed to the initial (t = 0) analysis to reduce the initial position error generated during the preforecast integration. Five cases for which SSM/I overpasses were available were tested, including two cases before and three after Flo's recurvature. Forecasts at 48 h are compared with the actual storm track and intensifies estimated by the Joint Typhoon Warning Center. For the five cases tested, the assimilation of SSM/I retrieved rainfall rates reduced the average 48-h forecast distance error from 239 km in the control runs to 81 km in the assimilation experiments. It is postulated that the large positive impact was a consequence of the improved forecast intensity and speed of the typhoon when the SSM/I rain-rate data were assimilated.
publisherAmerican Meteorological Society
titleImpacts of SSM/I Retrieved Rainfall Rates on Numerical Prediction of a Tropical Cyclone
typeJournal Paper
journal volume124
journal issue6
journal titleMonthly Weather Review
identifier doi10.1175/1520-0493(1996)124<1181:IOSRRR>2.0.CO;2
journal fristpage1181
journal lastpage1198
treeMonthly Weather Review:;1996:;volume( 124 ):;issue: 006
contenttypeFulltext


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