東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Using the Moist Static Energy Varian...

Starr, Jarrett,

Linked to FindBook

Google Book

Amazon

博客來

Using the Moist Static Energy Variance Budget to Evaluate Tropical Cyclones in Climate Models Against Reanalyses and Satellite Observations: Model Resolution, Ocean Coupling, and Cloud Interactions /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Using the Moist Static Energy Variance Budget to Evaluate Tropical Cyclones in Climate Models Against Reanalyses and Satellite Observations: Model Resolution, Ocean Coupling, and Cloud Interactions // Jarrett Starr.
Author:	Starr, Jarrett,
Description:	1 electronic resource (99 pages)
Notes:	Source: Masters Abstracts International, Volume: 85-12.
Contained By:	Masters Abstracts International85-12.
Subject:	Meteorology. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30995681
ISBN:	9798382778525

Using the Moist Static Energy Variance Budget to Evaluate Tropical Cyclones in Climate Models Against Reanalyses and Satellite Observations: Model Resolution, Ocean Coupling, and Cloud Interactions /
Starr, Jarrett,

Using the Moist Static Energy Variance Budget to Evaluate Tropical Cyclones in Climate Models Against Reanalyses and Satellite Observations: Model Resolution, Ocean Coupling, and Cloud Interactions /Jarrett Starr. - 1 electronic resource (99 pages)

Source: Masters Abstracts International, Volume: 85-12.

Tropical cyclones (TCs) are observed in general circulation models (GCMs) as well as reanalyses. However, it is known that GCMs and reanalyses struggle to accurately represent TCs and have biases in the TC frequency and intensity distributions. By employing the column-integrated moist static energy (MSE) variance budget as a process-oriented diagnostic, we can analyze the model representation of physical processes that help or hinder the development of TCs. Specifically, we analyze the radiative and surface flux feedback terms within the MSE variance budget across 5 different reanalysis datasets and 19 different GCM simulations. Binning and compositing of TC snapshots by maximum velocity and minimum mean sea level pressure allows for comparison across the GCMs and reanalyses of the feedbacks at a given intensity, as well as an examination of how the feedbacks vary with storm intensity. We find that the surface flux feedback on TC development is weaker in coupled models. Across all models, the longwave radiative feedback positively contributes to TC development and is driven by cloud effects. Models differ regarding the role of the shortwave radiative feedback, though it is generally smaller than the longwave. Regarding the intermodel spread in surface flux and radiative feedbacks at a given intensity, models with coarse resolution differ more from each other and from reanalyses than those with high resolution. These results can help us understand how differences in model representation of physical processes lead to model differences in TC intensity.

English

ISBN: 9798382778525Subjects--Topical Terms:

542822
Meteorology.
Subjects--Index Terms:

Tropical cyclones

Using the Moist Static Energy Variance Budget to Evaluate Tropical Cyclones in Climate Models Against Reanalyses and Satellite Observations: Model Resolution, Ocean Coupling, and Cloud Interactions /
LDR:03106nmm a22004333i 4500 001 2438533
005 20260727134352.5
006 m o d
007 cr|nu||||||||
008 261011s2024 miu||||||m |||||||eng d
020 $a 9798382778525
035 $a (MiAaPQD)AAI30995681
035 $a AAI30995681
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Starr, Jarrett, $e author. $0 (orcid)0000-0003-3700-5684 $3 3829874
245 1 0 $a Using the Moist Static Energy Variance Budget to Evaluate Tropical Cyclones in Climate Models Against Reanalyses and Satellite Observations: Model Resolution, Ocean Coupling, and Cloud Interactions / $c Jarrett Starr.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (99 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 85-12.
500 $a Advisors: Wing, Allison Committee members: Misra, Vasubandhu; Diamond, Michael.
502 $b M.S. $c The Florida State University $d 2024.
520 $a Tropical cyclones (TCs) are observed in general circulation models (GCMs) as well as reanalyses. However, it is known that GCMs and reanalyses struggle to accurately represent TCs and have biases in the TC frequency and intensity distributions. By employing the column-integrated moist static energy (MSE) variance budget as a process-oriented diagnostic, we can analyze the model representation of physical processes that help or hinder the development of TCs. Specifically, we analyze the radiative and surface flux feedback terms within the MSE variance budget across 5 different reanalysis datasets and 19 different GCM simulations. Binning and compositing of TC snapshots by maximum velocity and minimum mean sea level pressure allows for comparison across the GCMs and reanalyses of the feedbacks at a given intensity, as well as an examination of how the feedbacks vary with storm intensity. We find that the surface flux feedback on TC development is weaker in coupled models. Across all models, the longwave radiative feedback positively contributes to TC development and is driven by cloud effects. Models differ regarding the role of the shortwave radiative feedback, though it is generally smaller than the longwave. Regarding the intermodel spread in surface flux and radiative feedbacks at a given intensity, models with coarse resolution differ more from each other and from reanalyses than those with high resolution. These results can help us understand how differences in model representation of physical processes lead to model differences in TC intensity.
546 $a English
590 $a School code: 0071
650 4 $a Meteorology. $3 542822
650 4 $a Geophysics. $3 535228
650 4 $a Atmospheric sciences. $3 3168354
653 $a Tropical cyclones
653 $a General circulation models
653 $a Physical processes
653 $a TC intensity
653 $a Surface flux
690 $a 0557
690 $a 0725
690 $a 0373
710 2 $a The Florida State University. $b Earth, Ocean & Atmospheric Science. $e degree granting institution. $3 3816815
720 1 $a Wing, Allison $e degree supervisor.
773 0 $t Masters Abstracts International $g 85-12.
790 $a 0071
791 $a M.S.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30995681