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The impact of water vapor assimilati...

Howard University., Atmospheric Science.

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The impact of water vapor assimilation on quantitative precipitation forecast over the Washington, DC metropolitan area.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The impact of water vapor assimilation on quantitative precipitation forecast over the Washington, DC metropolitan area./
作者:	Walford, Segayle Cereta.
面頁冊數:	125 p.
附註:	Adviser: Everette Joseph.
Contained By:	Dissertation Abstracts International70-05B.
標題:	Atmospheric Sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3354870
ISBN:	9781109125849

The impact of water vapor assimilation on quantitative precipitation forecast over the Washington, DC metropolitan area.
Walford, Segayle Cereta.

The impact of water vapor assimilation on quantitative precipitation forecast over the Washington, DC metropolitan area. - 125 p.

Adviser: Everette Joseph.

Thesis (Ph.D.)--Howard University, 2009.

Forecasting subtle, small-scale convective cases in both winter and summer time is an ongoing challenge in weather forecasting. Recent studies have shown that better structure of moisture within the boundary layer is crucial for improving forecasting skills, particularly quantitative precipitation forecasting (QPF). Lidars, which take high temporal observations of moisture, are able to capture very detailed structures, especially within the boundary layer where convection often begins.

ISBN: 9781109125849Subjects--Topical Terms:

1019179
Atmospheric Sciences.

The impact of water vapor assimilation on quantitative precipitation forecast over the Washington, DC metropolitan area.
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245 1 4 $a The impact of water vapor assimilation on quantitative precipitation forecast over the Washington, DC metropolitan area.
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502 $a Thesis (Ph.D.)--Howard University, 2009.
520 $a Forecasting subtle, small-scale convective cases in both winter and summer time is an ongoing challenge in weather forecasting. Recent studies have shown that better structure of moisture within the boundary layer is crucial for improving forecasting skills, particularly quantitative precipitation forecasting (QPF). Lidars, which take high temporal observations of moisture, are able to capture very detailed structures, especially within the boundary layer where convection often begins.
520 $a This study first investigates the extent to which an aerosol and a water vapor lidar are able to capture key boundary layer processes necessary for the development of convection. The results of this preliminary study show that the water vapor lidar is best able to capture the small scale water vapor variability that is necessary for the development of convection. These results are then used to investigate impacts of assimilating moisture from the Howard University Raman Lidar (HURL) for one mesoscale convective case, July 27-28, 2006. The data for this case is from the Water Vapor Validation Experiment-Satellite and Sondes (WAVES) field campaign located at the Howard University Beltsville Site (HUBS) in Beltsville, MD. Specifically, lidar-based water vapor mixing ratio profiles are assimilated into the Weather Research and Forecasting (WRF) regional model over a 4 km grid resolution over Washington, DC. Model verification is conducted using the Meteorological Evaluation Tool (MET) and the results from the lidar run are then compared to a control (no assimilation) run.
520 $a The findings indicate that quantitatively conclusions cannot be draw from this one case study. However, qualitatively, the assimilation of the lidar observations improved the equivalent potential temperature, and water vapor distribution of the region. This difference changed location, strength and spatial coverage of the convective system over the HUBS region.
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790 1 0 $a Wu, Wan-Shu $e committee member
790 1 0 $a Yu, Tsann-Wang $e committee member
791 $a Ph.D.
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