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

Quantifying Past and Future Climate ...

Zhan, Wang.

FindBook

Google Book

Amazon

博客來

Quantifying Past and Future Climate Extremes: Characteristics, Uncertainties and Improvements.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Quantifying Past and Future Climate Extremes: Characteristics, Uncertainties and Improvements./
作者:	Zhan, Wang.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	228 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-09(E), Section: B.
Contained By:	Dissertation Abstracts International78-09B(E).
標題:	Hydrologic sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10255310
ISBN:	9781369714173

Quantifying Past and Future Climate Extremes: Characteristics, Uncertainties and Improvements.
Zhan, Wang.

Quantifying Past and Future Climate Extremes: Characteristics, Uncertainties and Improvements. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 228 p.

Source: Dissertation Abstracts International, Volume: 78-09(E), Section: B.

Thesis (Ph.D.)--Princeton University, 2017.

This item is not available from ProQuest Dissertations & Theses.

In recent years, it has been widely recognized that a potential change in climate extreme events will occur under a warming climate. Understanding present and future changes in weather and climate extremes is critical to manage disaster risk and advance climate change adaptation. To date, certain aspects of extreme precipitation and temperature events have been analyzed in previous studies, such as increasing frequency of hot days with extreme high temperatures, reduced frequency of extreme cold days and increases in intense precipitation events. However, a large part remains unknown, especially over some sparsely observed regions, e.g. Africa due to complexity of the problem, making it difficult to interpret the spatiotemporal evolvement of extreme events. This dissertation aims to advance fundamental understandings on the depiction skills of past and future climate extremes in observations, reanalyses and climate projections as well as potential improvements via data assimilation techniques. In Chapter 2, five reanalyses precipitation datasets are assessed on their reconstruction of drought properties over Sub-Saharan Africa over the period 1979 to 2012. Skills in depicting the spatiotemporal characteristics of droughts are quantified for reanalyses products. Chapter 3 builds on the evaluation of reanalyses precipitation datasets and includes real-time satellite rainfall products. The depiction of global drought events by four reanalyses and three satellite precipitation estimates are compared against an observational reference dataset, Princeton Global Forcing (PGF) data. Chapter 4 analyzes projected changes in the characteristic of extreme temperature and precipitation events including frequency, seasonal timing, maximum spatial and temporal extent as well as severity based on a suite of 37 climate models archived in the Coupled Model Intercomparison Project Phase 5 (CMIP5). Chapter 5 presents a Monte Carlo based assimilation procedure to integrate soil moisture information into the Variable Infiltration Capacity (VIC) land surface model to improve real-time, satellite precipitation estimates. In the context of weather and climate extremes, the results of this dissertation show a path towards evaluating spatiotemporal characteristic of extreme events. This work also demonstrates potential improvements to real-time hydrologic states and fluxes estimates through data assimilation.

ISBN: 9781369714173Subjects--Topical Terms:

3168407
Hydrologic sciences.

Quantifying Past and Future Climate Extremes: Characteristics, Uncertainties and Improvements.
LDR:03490nmm a2200325 4500 001 2158481
005 20180614071644.5
008 190424s2017 ||||||||||||||||| ||eng d
020 $a 9781369714173
035 $a (MiAaPQ)AAI10255310
035 $a (MiAaPQ)princeton:12038
035 $a AAI10255310
040 $a MiAaPQ $c MiAaPQ
100 1 $a Zhan, Wang. $3 3346303
245 1 0 $a Quantifying Past and Future Climate Extremes: Characteristics, Uncertainties and Improvements.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 228 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-09(E), Section: B.
500 $a Adviser: Eric F. Wood.
502 $a Thesis (Ph.D.)--Princeton University, 2017.
506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a In recent years, it has been widely recognized that a potential change in climate extreme events will occur under a warming climate. Understanding present and future changes in weather and climate extremes is critical to manage disaster risk and advance climate change adaptation. To date, certain aspects of extreme precipitation and temperature events have been analyzed in previous studies, such as increasing frequency of hot days with extreme high temperatures, reduced frequency of extreme cold days and increases in intense precipitation events. However, a large part remains unknown, especially over some sparsely observed regions, e.g. Africa due to complexity of the problem, making it difficult to interpret the spatiotemporal evolvement of extreme events. This dissertation aims to advance fundamental understandings on the depiction skills of past and future climate extremes in observations, reanalyses and climate projections as well as potential improvements via data assimilation techniques. In Chapter 2, five reanalyses precipitation datasets are assessed on their reconstruction of drought properties over Sub-Saharan Africa over the period 1979 to 2012. Skills in depicting the spatiotemporal characteristics of droughts are quantified for reanalyses products. Chapter 3 builds on the evaluation of reanalyses precipitation datasets and includes real-time satellite rainfall products. The depiction of global drought events by four reanalyses and three satellite precipitation estimates are compared against an observational reference dataset, Princeton Global Forcing (PGF) data. Chapter 4 analyzes projected changes in the characteristic of extreme temperature and precipitation events including frequency, seasonal timing, maximum spatial and temporal extent as well as severity based on a suite of 37 climate models archived in the Coupled Model Intercomparison Project Phase 5 (CMIP5). Chapter 5 presents a Monte Carlo based assimilation procedure to integrate soil moisture information into the Variable Infiltration Capacity (VIC) land surface model to improve real-time, satellite precipitation estimates. In the context of weather and climate extremes, the results of this dissertation show a path towards evaluating spatiotemporal characteristic of extreme events. This work also demonstrates potential improvements to real-time hydrologic states and fluxes estimates through data assimilation.
590 $a School code: 0181.
650 4 $a Hydrologic sciences. $3 3168407
650 4 $a Climate change. $2 bicssc $3 2079509
650 4 $a Environmental science. $3 677245
690 $a 0388
690 $a 0404
690 $a 0768
710 2 $a Princeton University. $b Civil and Environmental Engineering. $3 2095365
773 0 $t Dissertation Abstracts International $g 78-09B(E).
790 $a 0181
791 $a Ph.D.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10255310