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

Development and Application of Coupl...

Lin, Haipeng,

Linked to FindBook

Google Book

Amazon

博客來

Development and Application of Coupled Atmospheric Chemistry Models /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Development and Application of Coupled Atmospheric Chemistry Models // Haipeng Lin.
Author:	Lin, Haipeng,
Description:	1 electronic resource (123 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
Contained By:	Dissertations Abstracts International85-12B.
Subject:	Atmospheric chemistry. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31235007
ISBN:	9798382776880

Development and Application of Coupled Atmospheric Chemistry Models /
Lin, Haipeng,

Development and Application of Coupled Atmospheric Chemistry Models /Haipeng Lin. - 1 electronic resource (123 pages)

Source: Dissertations Abstracts International, Volume: 85-12, Section: B.

Comprehensive and accurate representation of atmospheric chemistry in Earth System Models is a major priority in geoscientific modeling. GEOS-Chem is a state-of-the-science atmospheric chemistry model used by hundreds of research groups worldwide. It has been restructured to operate as a chemical module in weather and climate models while sharing the same scientific codebase as the standalone chemical transport model. The Community Earth System Model version 2 (CESM2) is a state-of-science Earth System Model that has participated in multiple model intercomparison activities. CESM2 includes a comprehensive chemistry option, CAM-chem, with a different development heritage from GEOS-Chem. The two models show large differences in model skill in comparison to observations in different regions, implying differences in sensitivity to perturbations. Previous model intercomparisons generally compared entire modeling systems, introducing first-order differences complicating the attribution of particular strengths in reproducing observations to specific representations of processes in each model. Implementation of GEOS-Chem within CESM2 as an alternative chemistry option to CAM-chem allows for detailed process-based intercomparison between two models, informing more accurate representation of atmospheric chemistry, and contributing to the vision of a modular chemistry-climate model.In this work, we develop a multi-model emissions and data tool through an updated version of the Harmonized Emissions Component (HEMCO) and couple it to the CESM2 model. This serves as the foundation for implementation of GEOS-Chem within CESM2 and intercomparison with CAM-chem (Chapter 1). Because of the increasing chemical complexity in atmospheric chemistry models resulting in increased computational burden, which is particularly relevant in coupled model environments, we develop an adaptive, auto-reduction solver for chemical kinetics that can reduce the complexity of the chemical mechanism depending on local conditions. It can provide a ∼30% speed-up in the chemical solver while introducing ∼1% error in the troposphere. We evaluate the adaptive solver in the offline GEOS-Chem chemical transport model at a 2◦ x 2.5◦ resolution, but it has been implemented in the Kinetic Pre-Processor (KPP) software package making it easily extensible beyond GEOS-Chem (Chapter 2). We then apply the coupled chemistry-climate model GEOS-Chem within CESM2 to compare its representation of tropospheric oxidant chemistry against the default CAM-chem chemistry driven by the same dynamics, physics, and emissions. We use ozonesondes and aircraft observations from the ATom-1 and KORUS-AQ campaigns to identify and attribute major differences between the two models. (Chapter 3).

English

ISBN: 9798382776880Subjects--Topical Terms:

544140
Atmospheric chemistry.
Subjects--Index Terms:

Community Earth System Model version 2

Development and Application of Coupled Atmospheric Chemistry Models /
LDR:04270nmm a22004453i 4500 001 2433729
005 20250905091000.5
006 m o d
007 cr|nu||||||||
008 261011s2024 miu||||||m |||||||eng d
020 $a 9798382776880
035 $a (MiAaPQD)AAI31235007
035 $a AAI31235007
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Lin, Haipeng, $e author. $0 (orcid)0000-0003-2777-2724 $3 3823463
245 1 0 $a Development and Application of Coupled Atmospheric Chemistry Models / $c Haipeng Lin.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (123 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: Dissertations Abstracts International, Volume: 85-12, Section: B.
500 $a Advisors: Jacob, Daniel J Committee members: Martin, Scot; McColl, Kaighin; Wofsy, Steve.
502 $b Ph.D. $c Harvard University $d 2024.
520 $a Comprehensive and accurate representation of atmospheric chemistry in Earth System Models is a major priority in geoscientific modeling. GEOS-Chem is a state-of-the-science atmospheric chemistry model used by hundreds of research groups worldwide. It has been restructured to operate as a chemical module in weather and climate models while sharing the same scientific codebase as the standalone chemical transport model. The Community Earth System Model version 2 (CESM2) is a state-of-science Earth System Model that has participated in multiple model intercomparison activities. CESM2 includes a comprehensive chemistry option, CAM-chem, with a different development heritage from GEOS-Chem. The two models show large differences in model skill in comparison to observations in different regions, implying differences in sensitivity to perturbations. Previous model intercomparisons generally compared entire modeling systems, introducing first-order differences complicating the attribution of particular strengths in reproducing observations to specific representations of processes in each model. Implementation of GEOS-Chem within CESM2 as an alternative chemistry option to CAM-chem allows for detailed process-based intercomparison between two models, informing more accurate representation of atmospheric chemistry, and contributing to the vision of a modular chemistry-climate model.In this work, we develop a multi-model emissions and data tool through an updated version of the Harmonized Emissions Component (HEMCO) and couple it to the CESM2 model. This serves as the foundation for implementation of GEOS-Chem within CESM2 and intercomparison with CAM-chem (Chapter 1). Because of the increasing chemical complexity in atmospheric chemistry models resulting in increased computational burden, which is particularly relevant in coupled model environments, we develop an adaptive, auto-reduction solver for chemical kinetics that can reduce the complexity of the chemical mechanism depending on local conditions. It can provide a ∼30% speed-up in the chemical solver while introducing ∼1% error in the troposphere. We evaluate the adaptive solver in the offline GEOS-Chem chemical transport model at a 2◦ x 2.5◦ resolution, but it has been implemented in the Kinetic Pre-Processor (KPP) software package making it easily extensible beyond GEOS-Chem (Chapter 2). We then apply the coupled chemistry-climate model GEOS-Chem within CESM2 to compare its representation of tropospheric oxidant chemistry against the default CAM-chem chemistry driven by the same dynamics, physics, and emissions. We use ozonesondes and aircraft observations from the ATom-1 and KORUS-AQ campaigns to identify and attribute major differences between the two models. (Chapter 3).
546 $a English
590 $a School code: 0084
650 4 $a Atmospheric chemistry. $3 544140
650 4 $a Atmospheric sciences. $3 3168354
650 4 $a Geophysics. $3 535228
650 4 $a Meteorology. $3 542822
653 $a Community Earth System Model version 2
653 $a Tropospheric chemistry
653 $a Harmonized Emissions Component
653 $a Kinetic Pre-Processor
653 $a Chemical kinetics
690 $a 0371
690 $a 0725
690 $a 0557
690 $a 0373
710 2 $a Harvard University. $b Engineering and Applied Sciences - Engineering Sciences. $e degree granting institution. $3 3765774
720 1 $a Jacob, Daniel J $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 85-12B.
790 $a 0084
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31235007