東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

A Quantitative Analysis of Satellite...

Cheng, Kai-Yuan.

FindBook

Google Book

Amazon

博客來

A Quantitative Analysis of Satellite-Observable Storm Top Infrared Features.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A Quantitative Analysis of Satellite-Observable Storm Top Infrared Features./
作者:	Cheng, Kai-Yuan.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	116 p.
附註:	Source: Dissertations Abstracts International, Volume: 79-11, Section: B.
Contained By:	Dissertations Abstracts International79-11B.
標題:	Atmospheric sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10821788
ISBN:	9780355950199

A Quantitative Analysis of Satellite-Observable Storm Top Infrared Features.
Cheng, Kai-Yuan.

A Quantitative Analysis of Satellite-Observable Storm Top Infrared Features. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 116 p.

Source: Dissertations Abstracts International, Volume: 79-11, Section: B.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2018.

This item must not be sold to any third party vendors.

Satellite infrared (IR) imagery of storms often shows some distinct brightness temperature features, such as cold-v (enhanced-V) and warm area. Those features are proven useful in monitoring storm activities, detecting severe storms, and retrieving atmospheric conditions. Many theories have been proposed to explain the formation of these features but uncertainties linger. This dissertation aims to clarify the mechanisms behind the IR features by investigating storm cases with high-resolution satellite observations. In addition to analyzing satellite data, numerical studies on those cases are done by using a newly developed cloud-resolving model. The result from the model indicates that the simulated storm top physical temperature field exhibits all major IR features observed by satellites. The most important mechanism responsible for the observed features is found to be the propagation of the gravity waves excited by storms. The warm area is caused by the adiabatic heating generated by the downdraft component of the waves. The turbulent mixing induced by the waves and the storm circulations also contributes to forming the warm area. The cold-V is caused by the strong adiabatic cooling generated by the main updraft of the storm. The characteristic U-shape of the cold-V reflects the occurrence of the warm area. The influence of the atmospheric conditions (stratospheric stability and wind profile) on the characteristics of the IR features is investigated by analyzing a series of idealized numerical experiments featuring different atmospheric conditions. The stability and the wind profile affect the propagation and interference of the gravity waves, and hence modulate the characteristics of the IR features. The quantitative relationships between the characteristics of the features and the atmospheric conditions are provided. Such relationships provide a framework for retrieving the atmospheric conditions from the satellite observation of storms.

ISBN: 9780355950199Subjects--Topical Terms:

3168354
Atmospheric sciences.

A Quantitative Analysis of Satellite-Observable Storm Top Infrared Features.
LDR:03037nmm a2200313 4500 001 2210408
005 20191121124216.5
008 201008s2018 ||||||||||||||||| ||eng d
020 $a 9780355950199
035 $a (MiAaPQ)AAI10821788
035 $a (MiAaPQ)wisc:15296
035 $a AAI10821788
040 $a MiAaPQ $c MiAaPQ
100 1 $a Cheng, Kai-Yuan. $3 1945196
245 1 0 $a A Quantitative Analysis of Satellite-Observable Storm Top Infrared Features.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 116 p.
500 $a Source: Dissertations Abstracts International, Volume: 79-11, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Wang, Pao-Kuan.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2018.
506 $a This item must not be sold to any third party vendors.
520 $a Satellite infrared (IR) imagery of storms often shows some distinct brightness temperature features, such as cold-v (enhanced-V) and warm area. Those features are proven useful in monitoring storm activities, detecting severe storms, and retrieving atmospheric conditions. Many theories have been proposed to explain the formation of these features but uncertainties linger. This dissertation aims to clarify the mechanisms behind the IR features by investigating storm cases with high-resolution satellite observations. In addition to analyzing satellite data, numerical studies on those cases are done by using a newly developed cloud-resolving model. The result from the model indicates that the simulated storm top physical temperature field exhibits all major IR features observed by satellites. The most important mechanism responsible for the observed features is found to be the propagation of the gravity waves excited by storms. The warm area is caused by the adiabatic heating generated by the downdraft component of the waves. The turbulent mixing induced by the waves and the storm circulations also contributes to forming the warm area. The cold-V is caused by the strong adiabatic cooling generated by the main updraft of the storm. The characteristic U-shape of the cold-V reflects the occurrence of the warm area. The influence of the atmospheric conditions (stratospheric stability and wind profile) on the characteristics of the IR features is investigated by analyzing a series of idealized numerical experiments featuring different atmospheric conditions. The stability and the wind profile affect the propagation and interference of the gravity waves, and hence modulate the characteristics of the IR features. The quantitative relationships between the characteristics of the features and the atmospheric conditions are provided. Such relationships provide a framework for retrieving the atmospheric conditions from the satellite observation of storms.
590 $a School code: 0262.
650 4 $a Atmospheric sciences. $3 3168354
690 $a 0725
710 2 $a The University of Wisconsin - Madison. $b Atmospheric & Oceanic Sciences. $3 3350321
773 0 $t Dissertations Abstracts International $g 79-11B.
790 $a 0262
791 $a Ph.D.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10821788