東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

The impact of radar data assimilatio...

Yoo, Hee-Dong.

Linked to FindBook

Google Book

Amazon

博客來

The impact of radar data assimilation on the Chorwon-Yonchon 1996 heavy rainfall event (Korea).

Record Type:	Electronic resources : Monograph/item
Title/Author:	The impact of radar data assimilation on the Chorwon-Yonchon 1996 heavy rainfall event (Korea)./
Author:	Yoo, Hee-Dong.
Description:	271 p.
Notes:	Source: Dissertation Abstracts International, Volume: 64-03, Section: B, page: 1292.
Contained By:	Dissertation Abstracts International64-03B.
Subject:	Physics, Atmospheric Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3082926

The impact of radar data assimilation on the Chorwon-Yonchon 1996 heavy rainfall event (Korea).
Yoo, Hee-Dong.

The impact of radar data assimilation on the Chorwon-Yonchon 1996 heavy rainfall event (Korea). - 271 p.

Source: Dissertation Abstracts International, Volume: 64-03, Section: B, page: 1292.

Thesis (Ph.D.)--The University of Oklahoma, 2003.

One of the most effective tools for observing the atmosphere at fine scales is the Doppler radar. In recent years, considerable research has been directed toward using radar data as a component of numerical prediction model initialization, especially at the meso- and storm-scales. In Korea, where locally heavy rainfall events cause tremendous damage and loss of life each year, radar data could be expected to have a significant positive impact on numerical forecast quality. The first step toward testing this hypothesis has been undertaken in the present study, the purpose of which is to assess the impact of WSR-88D radar data assimilation in the numerical forecast of a deadly heavy rainfall event in Korea.Subjects--Topical Terms:

1019431
Physics, Atmospheric Science.

The impact of radar data assimilation on the Chorwon-Yonchon 1996 heavy rainfall event (Korea).
LDR:03783nmm 2200289 4500 001 1810264
005 20040126131516.5
008 130610s2003 eng d
035 $a (UnM)AAI3082926
035 $a AAI3082926
040 $a UnM $c UnM
100 1 $a Yoo, Hee-Dong. $3 1899884
245 1 0 $a The impact of radar data assimilation on the Chorwon-Yonchon 1996 heavy rainfall event (Korea).
300 $a 271 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-03, Section: B, page: 1292.
500 $a Adviser: Kevin K. Droegemeier.
502 $a Thesis (Ph.D.)--The University of Oklahoma, 2003.
520 $a One of the most effective tools for observing the atmosphere at fine scales is the Doppler radar. In recent years, considerable research has been directed toward using radar data as a component of numerical prediction model initialization, especially at the meso- and storm-scales. In Korea, where locally heavy rainfall events cause tremendous damage and loss of life each year, radar data could be expected to have a significant positive impact on numerical forecast quality. The first step toward testing this hypothesis has been undertaken in the present study, the purpose of which is to assess the impact of WSR-88D radar data assimilation in the numerical forecast of a deadly heavy rainfall event in Korea.
520 $a We use the CAPS Advanced Regional Prediction System (ARPS), in combination with WSR-88D Level II data gathered by the US Air Force radar in Pyoungtaek, Korea, to generate a series of multi-resolution forecasts. One-way grid nesting is employed, with a horizontal resolution of 27-km for the coarse outer grid, 9-km for the middle grid, and 3-km for the inner fine grid. Incremental analysis updating (IAU) is employed to assimilate radar reflectivity and velocity data on the finest resolution grid, with variations made to the length of the assimilation window, the number of assimilation cycles, the time of model initialization, and various model parameters such as boundary condition update times.
520 $a A total of twenty six forecasts, two at 27-km, six at 9-km, and eighteen at 3-km resolution, were conducted. Quantitative verification is made against available observations, including accumulated rainfall estimates from the WSR-88D calibrated against surface gauge observations using software from Vieux and Associates, Inc. Our results suggest that radar data assimilation leads to significant improvements in forecast quality as measure by threat, equitable threat, and other quantitative and qualitative measures, though position errors in the maximum observed precipitation persist. It was clear that an experiment using three data inserts within a one-hour period, as compared to three inserts over a three hour period, produced the most skillful forecast. IAU is shown to be a viable mechanism for radar data assimilation, particularly in its ability to remove incorrectly-forecasted convection. We found that the positive impact of radar data for this particular event, using a grid spacing of 3 km, is approximately 3 to 4 hours process presented a limitation as forecast time increased. The structure and physical impact of the increments were examined for the rapid data assimilation case as well. The potential temperature, water substance, and vertical motion were incorporated well into the model forecast when employing radar data assimilation using IAU. This also led to a positive feedback mechanism in the convective system.
590 $a School code: 0169.
650 4 $a Physics, Atmospheric Science. $3 1019431
650 4 $a Geophysics. $3 535228
690 $a 0608
690 $a 0373
710 2 0 $a The University of Oklahoma. $3 1021915
773 0 $t Dissertation Abstracts International $g 64-03B.
790 1 0 $a Droegemeier, Kevin K., $e advisor
790 $a 0169
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3082926