Short-Range Precipitation Forecasts Using Assimilation of Simulated Satellite Water Vapor Profiles and Column Cloud Liquid Water AmountsSource: Monthly Weather Review:;1995:;volume( 123 ):;issue: 002::page 347DOI: 10.1175/1520-0493(1995)123<0347:SRPFUA>2.0.CO;2Publisher: American Meteorological Society
Abstract: These observing system simulation experiments investigate the assimilation of satellite-observed water vapor and cloud liquid water data in the initialization of a limited-area primitive equations model with the goal of improving short-range precipitation forecasts. The assimilation procedure presented includes two aspects: specification of an initial cloud liquid water vertical distribution and diabatic initialization. The satellite data is simulated for the next generation of polar-orbiting satellite instruments, the Advanced Microwave Sounding Unit (AMSU) and the High-Resolution Infrared Sounder (HIRS), which are scheduled to be launched on the NOAA-K satellite in the mid-1990s. Based on cloud-top height and total column cloud liquid water amounts simulated for satellite data, a diagnostic method is used to specify an initial cloud water vertical distribution and to modify the initial moisture distribution in cloudy areas. Using a diabatic initialization procedure, the associated latent heating profiles are directly assimilated into the numerical model. The initial heating is estimated by time averaging the latent heat release from convective and large-scale condensation during the early forecast stage after insertion of satellite-observed temperature, water vapor, and cloud water information. The assimilation of satellite-observed moisture and cloud water, together with three-mode diabatic initialization, significantly alleviates the model precipitation spinup problem, especially in the first 3 h of the forecast. Experimental forecasts indicate that the impact of satellite-observed temperature and water vapor profiles and cloud water alone in the initialization procedure shortens the spinup time for precipitation rates by 1?2 h and for regeneration of the areal coverage by 3 h. The diabatic initialization further reduces the precipitation spinup time (compared to adiabatic initialization) by 1 h.
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contributor author | Wu, Xiaohua | |
contributor author | Diak, George R. | |
contributor author | Hayden, Christopher M. | |
contributor author | Young, John A. | |
date accessioned | 2017-06-09T16:10:17Z | |
date available | 2017-06-09T16:10:17Z | |
date copyright | 1995/02/01 | |
date issued | 1995 | |
identifier issn | 0027-0644 | |
identifier other | ams-62523.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4203425 | |
description abstract | These observing system simulation experiments investigate the assimilation of satellite-observed water vapor and cloud liquid water data in the initialization of a limited-area primitive equations model with the goal of improving short-range precipitation forecasts. The assimilation procedure presented includes two aspects: specification of an initial cloud liquid water vertical distribution and diabatic initialization. The satellite data is simulated for the next generation of polar-orbiting satellite instruments, the Advanced Microwave Sounding Unit (AMSU) and the High-Resolution Infrared Sounder (HIRS), which are scheduled to be launched on the NOAA-K satellite in the mid-1990s. Based on cloud-top height and total column cloud liquid water amounts simulated for satellite data, a diagnostic method is used to specify an initial cloud water vertical distribution and to modify the initial moisture distribution in cloudy areas. Using a diabatic initialization procedure, the associated latent heating profiles are directly assimilated into the numerical model. The initial heating is estimated by time averaging the latent heat release from convective and large-scale condensation during the early forecast stage after insertion of satellite-observed temperature, water vapor, and cloud water information. The assimilation of satellite-observed moisture and cloud water, together with three-mode diabatic initialization, significantly alleviates the model precipitation spinup problem, especially in the first 3 h of the forecast. Experimental forecasts indicate that the impact of satellite-observed temperature and water vapor profiles and cloud water alone in the initialization procedure shortens the spinup time for precipitation rates by 1?2 h and for regeneration of the areal coverage by 3 h. The diabatic initialization further reduces the precipitation spinup time (compared to adiabatic initialization) by 1 h. | |
publisher | American Meteorological Society | |
title | Short-Range Precipitation Forecasts Using Assimilation of Simulated Satellite Water Vapor Profiles and Column Cloud Liquid Water Amounts | |
type | Journal Paper | |
journal volume | 123 | |
journal issue | 2 | |
journal title | Monthly Weather Review | |
identifier doi | 10.1175/1520-0493(1995)123<0347:SRPFUA>2.0.CO;2 | |
journal fristpage | 347 | |
journal lastpage | 365 | |
tree | Monthly Weather Review:;1995:;volume( 123 ):;issue: 002 | |
contenttype | Fulltext |