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 Phase Plane Based Perspective of E...

Maithel, Vijit.

FindBook

Google Book

Amazon

博客來

A Phase Plane Based Perspective of Energetics of Large Scale Tropical Convection.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A Phase Plane Based Perspective of Energetics of Large Scale Tropical Convection./
作者:	Maithel, Vijit.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	150 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-02, Section: B.
Contained By:	Dissertations Abstracts International85-02B.
標題:	Atmospheric sciences. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30638235
ISBN:	9798380156462

A Phase Plane Based Perspective of Energetics of Large Scale Tropical Convection.
Maithel, Vijit.

A Phase Plane Based Perspective of Energetics of Large Scale Tropical Convection. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 150 p.

Source: Dissertations Abstracts International, Volume: 85-02, Section: B.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2023.

Moisture plays a key role in governing rainfall and convective variability across multiple spatiotemporal scales in the tropics. However, climate models fail to represent such variability realistically. This calls for a need for more process-oriented diagnostics that can help identify the different characteristics and patterns of moisture-driven convective variability. This dissertation contributes towards that task by proposing novel physics motivated diagnostics and establishing the scope of their use by applying these to different observational and reanalysis datasets. The proposed diagnostics provide a phase plane-based approach to understanding the evolution of moisture and moist static energy in the tropics. The results highlight the cyclic nature of the variability. Moisture and rainfall are found to increase and decrease together periodically. More interestingly, we find that a mean composite cycle has similar characteristics and time periods across different regions in the tropics despite differences in the observed dominant wave modes. They are also found to be driven primarily by the advection of moisture by the convective circulation in all the different regions. This indicates that such cycles are fundamental to how convection evolves in the tropics.We further show that the phase plane-based framework can also be applied to study characteristics of individual events as well as other known wave modes and not just the mean composite behavior. By modifying our phase plane analysis to look at the evolution of moist static energy variance, we show that such cyclic evolution can also be interpreted as a signal of convective aggregation. Overall, this study highlights the importance of simple physics-based metrics in simplifying some of the complex interactions between convection, large-scale circulation, and moisture. The phase plane-based framework presented in this work provides a convenient way to visualize important characteristics of convective evolution and is easy to implement for different types of gridded data. This motivates further study of climate model output using these simpler metrics to identify model errors and biases.

ISBN: 9798380156462Subjects--Topical Terms:

3168354
Atmospheric sciences.
Subjects--Index Terms:

Convective aggregation

A Phase Plane Based Perspective of Energetics of Large Scale Tropical Convection.
LDR:03351nmm a2200385 4500 001 2402034
005 20241028114737.5
006 m o d
007 cr#unu||||||||
008 251215s2023 ||||||||||||||||| ||eng d
020 $a 9798380156462
035 $a (MiAaPQ)AAI30638235
035 $a AAI30638235
035 $a 2402034
040 $a MiAaPQ $c MiAaPQ
100 1 $a Maithel, Vijit. $3 3772251
245 1 2 $a A Phase Plane Based Perspective of Energetics of Large Scale Tropical Convection.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 150 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-02, Section: B.
500 $a Advisor: Back, Larissa.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2023.
520 $a Moisture plays a key role in governing rainfall and convective variability across multiple spatiotemporal scales in the tropics. However, climate models fail to represent such variability realistically. This calls for a need for more process-oriented diagnostics that can help identify the different characteristics and patterns of moisture-driven convective variability. This dissertation contributes towards that task by proposing novel physics motivated diagnostics and establishing the scope of their use by applying these to different observational and reanalysis datasets. The proposed diagnostics provide a phase plane-based approach to understanding the evolution of moisture and moist static energy in the tropics. The results highlight the cyclic nature of the variability. Moisture and rainfall are found to increase and decrease together periodically. More interestingly, we find that a mean composite cycle has similar characteristics and time periods across different regions in the tropics despite differences in the observed dominant wave modes. They are also found to be driven primarily by the advection of moisture by the convective circulation in all the different regions. This indicates that such cycles are fundamental to how convection evolves in the tropics.We further show that the phase plane-based framework can also be applied to study characteristics of individual events as well as other known wave modes and not just the mean composite behavior. By modifying our phase plane analysis to look at the evolution of moist static energy variance, we show that such cyclic evolution can also be interpreted as a signal of convective aggregation. Overall, this study highlights the importance of simple physics-based metrics in simplifying some of the complex interactions between convection, large-scale circulation, and moisture. The phase plane-based framework presented in this work provides a convenient way to visualize important characteristics of convective evolution and is easy to implement for different types of gridded data. This motivates further study of climate model output using these simpler metrics to identify model errors and biases.
590 $a School code: 0262.
650 4 $a Atmospheric sciences. $3 3168354
650 4 $a Ocean engineering. $3 660731
650 4 $a Climate change. $2 bicssc $3 2079509
653 $a Convective aggregation
653 $a Large-scale convection
653 $a Moisture modes
653 $a Tropical dynamics
690 $a 0725
690 $a 0404
690 $a 0547
710 2 $a The University of Wisconsin - Madison. $b Atmospheric & Oceanic Sciences. $3 3350321
773 0 $t Dissertations Abstracts International $g 85-02B.
790 $a 0262
791 $a Ph.D.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30638235