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

The spatial and temporal properties ...

Liu, Jianbo.

FindBook

Google Book

Amazon

博客來

The spatial and temporal properties of precipitation uncertainty structures over tropical oceans.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The spatial and temporal properties of precipitation uncertainty structures over tropical oceans./
作者:	Liu, Jianbo.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2015,
面頁冊數:	84 p.
附註:	Source: Masters Abstracts International, Volume: 54-05.
Contained By:	Masters Abstracts International54-05(E).
標題:	Atmospheric sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1590602
ISBN:	9781321801514

The spatial and temporal properties of precipitation uncertainty structures over tropical oceans.
Liu, Jianbo.

The spatial and temporal properties of precipitation uncertainty structures over tropical oceans. - Ann Arbor : ProQuest Dissertations & Theses, 2015 - 84 p.

Source: Masters Abstracts International, Volume: 54-05.

Thesis (M.S.)--Colorado State University, 2015.

The global distribution of precipitation has been measured from space using a series of passive microwave radiometers for over 40 years. However, our knowledge of precipitation uncertainty is still limited. While previous studies have shown that the uncertainty associated with the surface rain rate tends to vary with geographic location and season, most likely as a consequence of inappropriate and inaccurate microphysical assumptions in the forward model, the internal uncertainty structure remains largely unknown. Hence, a classification scheme is introduced, in which the overall precipitation uncertainty consists of random noise, constant biases, and region-dependent cyclic patterns. It is hypothesized that those cyclic patterns are the result of an imperfect forward model simulation of precipitation variation associated with regional atmospheric cycles. To investigate the hypothesis, differences from ten years of collocated surface rain rate measurements from TRMM Microwave Imager and Precipitation Radar are used as a proxy to characterize the precipitation uncertainty structure. The results show that the recurring uncertainty patterns over tropical ocean basins are clearly impacted by a hierarchy of regionally prominent atmospheric cycles with multiple time scales, from the diurnal cycle to multi-annual oscillation. Spectral analyses of the uncertainty time series have also confirmed the same argument. Moreover, the relative importance of major uncertainty sources varies drastically not only from one basin to another, but also with different choices of sampling resolutions. Following the classification scheme and hypothesis proposed in this study, the magnitudes of unexplained precipitation uncertainty can be reduced up to 68% and 63% over the equatorial central Pacific and eastern Atlantic, respectively.

ISBN: 9781321801514Subjects--Topical Terms:

3168354
Atmospheric sciences.

The spatial and temporal properties of precipitation uncertainty structures over tropical oceans.
LDR:02747nmm a2200289 4500 001 2120861
005 20170724102538.5
008 180830s2015 ||||||||||||||||| ||eng d
020 $a 9781321801514
035 $a (MiAaPQ)AAI1590602
035 $a AAI1590602
040 $a MiAaPQ $c MiAaPQ
100 1 $a Liu, Jianbo. $3 1296727
245 1 4 $a The spatial and temporal properties of precipitation uncertainty structures over tropical oceans.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2015
300 $a 84 p.
500 $a Source: Masters Abstracts International, Volume: 54-05.
500 $a Adviser: Christian D. Kummerow.
502 $a Thesis (M.S.)--Colorado State University, 2015.
520 $a The global distribution of precipitation has been measured from space using a series of passive microwave radiometers for over 40 years. However, our knowledge of precipitation uncertainty is still limited. While previous studies have shown that the uncertainty associated with the surface rain rate tends to vary with geographic location and season, most likely as a consequence of inappropriate and inaccurate microphysical assumptions in the forward model, the internal uncertainty structure remains largely unknown. Hence, a classification scheme is introduced, in which the overall precipitation uncertainty consists of random noise, constant biases, and region-dependent cyclic patterns. It is hypothesized that those cyclic patterns are the result of an imperfect forward model simulation of precipitation variation associated with regional atmospheric cycles. To investigate the hypothesis, differences from ten years of collocated surface rain rate measurements from TRMM Microwave Imager and Precipitation Radar are used as a proxy to characterize the precipitation uncertainty structure. The results show that the recurring uncertainty patterns over tropical ocean basins are clearly impacted by a hierarchy of regionally prominent atmospheric cycles with multiple time scales, from the diurnal cycle to multi-annual oscillation. Spectral analyses of the uncertainty time series have also confirmed the same argument. Moreover, the relative importance of major uncertainty sources varies drastically not only from one basin to another, but also with different choices of sampling resolutions. Following the classification scheme and hypothesis proposed in this study, the magnitudes of unexplained precipitation uncertainty can be reduced up to 68% and 63% over the equatorial central Pacific and eastern Atlantic, respectively.
590 $a School code: 0053.
650 4 $a Atmospheric sciences. $3 3168354
650 4 $a Remote sensing. $3 535394
690 $a 0725
690 $a 0799
710 2 $a Colorado State University. $b Atmospheric Science. $3 1677446
773 0 $t Masters Abstracts International $g 54-05(E).
790 $a 0053
791 $a M.S.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1590602