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 simple one-dimensional model to es...

Iacovazzi, Robert Anthony, Jr.

FindBook

Google Book

Amazon

博客來

A simple one-dimensional model to estimate mesoscale atmospheric latent heating profiles from TRMM rain statistics.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A simple one-dimensional model to estimate mesoscale atmospheric latent heating profiles from TRMM rain statistics./
作者:	Iacovazzi, Robert Anthony, Jr.
面頁冊數:	92 p.
附註:	Source: Dissertation Abstracts International, Volume: 63-01, Section: B, page: 0307.
Contained By:	Dissertation Abstracts International63-01B.
標題:	Physics, Atmospheric Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3039614
ISBN:	0493529802

A simple one-dimensional model to estimate mesoscale atmospheric latent heating profiles from TRMM rain statistics.
Iacovazzi, Robert Anthony, Jr.

A simple one-dimensional model to estimate mesoscale atmospheric latent heating profiles from TRMM rain statistics. - 92 p.

Source: Dissertation Abstracts International, Volume: 63-01, Section: B, page: 0307.

Thesis (Ph.D.)--State University of New York at Albany, 2002.

In this study, a model is developed to estimate mesoscale-resolution atmospheric latent heating (ALH) profiles. It utilizes rain statistics deduced from Tropical Rainfall Measuring Mission (TRMM) data, and cloud vertical velocity profiles and regional surface thermodynamic climatologies derived from other available data sources. From several rain events observed over tropical ocean and land, ALH profiles retrieved by this model in convective rain regions exhibit strong warming throughout most of the troposphere, while in stratiform rain regions they usually show slight cooling below the freezing level and significant warming above. The mesoscale-average, or total, ALH profiles reveal a dominant stratiform character.

ISBN: 0493529802Subjects--Topical Terms:

1019431
Physics, Atmospheric Science.

A simple one-dimensional model to estimate mesoscale atmospheric latent heating profiles from TRMM rain statistics.
LDR:03334nmm 2200301 4500 001 1853088
005 20040407102506.5
008 130614s2002 eng d
020 $a 0493529802
035 $a (UnM)AAI3039614
035 $a AAI3039614
040 $a UnM $c UnM
100 1 $a Iacovazzi, Robert Anthony, Jr. $3 1940959
245 1 0 $a A simple one-dimensional model to estimate mesoscale atmospheric latent heating profiles from TRMM rain statistics.
300 $a 92 p.
500 $a Source: Dissertation Abstracts International, Volume: 63-01, Section: B, page: 0307.
500 $a Adviser: Volker Mohnen.
502 $a Thesis (Ph.D.)--State University of New York at Albany, 2002.
520 $a In this study, a model is developed to estimate mesoscale-resolution atmospheric latent heating (ALH) profiles. It utilizes rain statistics deduced from Tropical Rainfall Measuring Mission (TRMM) data, and cloud vertical velocity profiles and regional surface thermodynamic climatologies derived from other available data sources. From several rain events observed over tropical ocean and land, ALH profiles retrieved by this model in convective rain regions exhibit strong warming throughout most of the troposphere, while in stratiform rain regions they usually show slight cooling below the freezing level and significant warming above. The mesoscale-average, or total, ALH profiles reveal a dominant stratiform character.
520 $a Model sensitivity tests show that total ALH at a given tropospheric level varies by less than ±10% when convective and stratiform rain rates and fractional rain areas are perturbed individually by ±15%. This is also found when the non-uniform convective vertical velocity profiles are replaced by one that is uniform. Larger variability of the total ALH profiles arises when climatological ocean- and land-surface temperatures (water vapor mixing ratios) are independently perturbed by ±1.0 K (±5%) and ±5.0 K (±15%), respectively. At a given tropospheric level, such perturbations can cause a ±25% variation of total ALH over ocean, and a factor-of-two sensitivity over land. This sensitivity is reduced substantially if perturbations of surface thermodynamic variables do not change surface relative humidity, or are not extended throughout the entire model evaporation layer.
520 $a The ALH profiles retrieved in this study agree qualitatively with tropical total diabatic heating profiles deduced in earlier studies. Also, from January and July 1999 ALH-profile climatologies generated separately with TRMM Microwave Imager and Precipitation Radar rain statistics, it is shown that ALH profiles can be retrieved utilizing diverse satellite-derived rain products with convective and stratiform discrimination. Therefore, the ALH profile retrieval model developed in this study can be used to make regional estimates of total diabatic heating profiles during future satellite missions to quantify precipitation, and to assimilate these profiles into numerical weather forecast and climate models.
590 $a School code: 0668.
650 4 $a Physics, Atmospheric Science. $3 1019431
650 4 $a Remote Sensing. $3 1018559
690 $a 0608
690 $a 0799
710 2 0 $a State University of New York at Albany. $3 769258
773 0 $t Dissertation Abstracts International $g 63-01B.
790 1 0 $a Mohnen, Volker, $e advisor
790 $a 0668
791 $a Ph.D.
792 $a 2002
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3039614