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

Properties of the tropical hydrologi...

Colorado State University.

FindBook

Google Book

Amazon

博客來

Properties of the tropical hydrologic cycle as analyzed through 3-dimensional k-means cluster analysis.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Properties of the tropical hydrologic cycle as analyzed through 3-dimensional k-means cluster analysis./
作者:	Rogers, Matthew Alan.
面頁冊數:	155 p.
附註:	Source: Dissertation Abstracts International, Volume: 69-10, Section: B, page: 5980.
Contained By:	Dissertation Abstracts International69-10B.
標題:	Atmospheric Sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3332703
ISBN:	9780549851417

Properties of the tropical hydrologic cycle as analyzed through 3-dimensional k-means cluster analysis.
Rogers, Matthew Alan.

Properties of the tropical hydrologic cycle as analyzed through 3-dimensional k-means cluster analysis. - 155 p.

Source: Dissertation Abstracts International, Volume: 69-10, Section: B, page: 5980.

Thesis (Ph.D.)--Colorado State University, 2008.

Applications of this technique are of particular interest to researchers developing retrieval algorithms for latent heat profiles using active sensors such as the cloud-profiling radar aboard CloudSat.

ISBN: 9780549851417Subjects--Topical Terms:

1019179
Atmospheric Sciences.

Properties of the tropical hydrologic cycle as analyzed through 3-dimensional k-means cluster analysis.
LDR:03180nmm 2200277 a 45 001 865500
005 20100728
008 100728s2008 ||||||||||||||||| ||eng d
020 $a 9780549851417
035 $a (UMI)AAI3332703
035 $a AAI3332703
040 $a UMI $c UMI
100 1 $a Rogers, Matthew Alan. $3 1033937
245 1 0 $a Properties of the tropical hydrologic cycle as analyzed through 3-dimensional k-means cluster analysis.
300 $a 155 p.
500 $a Source: Dissertation Abstracts International, Volume: 69-10, Section: B, page: 5980.
502 $a Thesis (Ph.D.)--Colorado State University, 2008.
520 $a Applications of this technique are of particular interest to researchers developing retrieval algorithms for latent heat profiles using active sensors such as the cloud-profiling radar aboard CloudSat.
520 $a As the primary locations of deep convective activity and unrestrained tropical wave dynamics, the tropical West Pacific and East Indian oceans are among the most important regions in the tropics. Given that most of the region consists of unpopulated expanses of ocean, observations of tropical atmospheric properties in this important region is exceptionally difficult. Only with the help of satellite observations are we capable of gleaning valuable data from this region, and our utilization of advanced analysis techniques allows us to gain more from these observations then would otherwise be possible.
520 $a In that vein, this dissertation reports on the use of a unique statistical technique, long known to other fields of research, as applied to a combined-instrument satellite observation dataset over the warm pool region of the tropical West Pacific ocean. The statistical technique, known as k-means cluster analysis, is used to delineate self-similar populations of cloud type, hereafter referred to as cloud regimes, from frequency-distribution histograms of cloud-top height, cloud optical thickness, and rainfall amount. We will show that four primary cloud regimes exist in the tropical region discussed, that the four regimes vary primarily through differences in convective activity, and that these four cloud regimes exist in a coherent temporal structure that explains the long-observed variability in convective activity seen in the tropics.
520 $a Combining this regime information with satellite observations, along with reanalysis data, we then examine the individual properties of each cloud regime. These observations give us the means to understand the forcings behind cloud regime change in the region. We confirm the structural properties of these regimes using analysis from a cloud-resolving model, and apply our new understanding of the mechanism behind this large-scale forcing to the governance of the tropical hydrologic cycle as a whole. The insights gained from this analysis have benefits to both the fields of atmospheric remote sensing, and of cloud- and climate modeling of the tropical atmosphere.
590 $a School code: 0053.
650 4 $a Atmospheric Sciences. $3 1019179
690 $a 0725
710 2 $a Colorado State University. $3 675646
773 0 $t Dissertation Abstracts International $g 69-10B.
790 $a 0053
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3332703