東華大學圖書館 |

Development and Evaluation of Earth System Models on Global and Regional Scales: Aerosol Chemistry and Dynamics, Air-Sea Interactions, and Retrospective Decadal Applications.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Development and Evaluation of Earth System Models on Global and Regional Scales: Aerosol Chemistry and Dynamics, Air-Sea Interactions, and Retrospective Decadal Applications./
作者:	He, Jian.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2015,
面頁冊數:	295 p.
附註:	Source: Dissertations Abstracts International, Volume: 78-09, Section: B.
Contained By:	Dissertations Abstracts International78-09B.
標題:	Atmospheric Chemistry. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10585347
ISBN:	9781369638196

Development and Evaluation of Earth System Models on Global and Regional Scales: Aerosol Chemistry and Dynamics, Air-Sea Interactions, and Retrospective Decadal Applications.
He, Jian.

Development and Evaluation of Earth System Models on Global and Regional Scales: Aerosol Chemistry and Dynamics, Air-Sea Interactions, and Retrospective Decadal Applications. - Ann Arbor : ProQuest Dissertations & Theses, 2015 - 295 p.

Source: Dissertations Abstracts International, Volume: 78-09, Section: B.

Thesis (Ph.D.)--North Carolina State University, 2015.

This item must not be added to any third party search indexes.

Earth system models have been used for climate predictions in recent years due to their capabilities to include coupled and interactive representations of Earth's components (e.g., atmosphere, ocean, land, and sea ice). The Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5) indicated that the uncertainties associated with cloud, aerosol, and their feedbacks, as well as uncertainties in near- and long-term projections from earth system models are emerging issues to be addressed by the scientific community. The Community Earth System Model (CESM) is a global Earth system model that has been developed to simulate the entire Earth system by coupling physical climate system with chemistry, biogeochemistry, biology, and human systems, and it has been applied to simulate global climate change as part of IPCC-AR5. In this work, to reduce the uncertainties associated with predicted aerosol impacts on climate, several advanced chemistry and aerosol treatments are implemented to Community Atmosphere Model (CAM), which is the atmospheric component of CESM. Those treatments include two new gas-phase chemical mechanisms (i.e., the 2005 Carbon Bond Mechanism with Global Extension (CB05_GE), and the Model for OZone and Related chemical Tracers version 4 with extension (MOZART-4x)), and several advanced inorganic aerosol treatments for condensation of volatile species, ion-mediated nucleation, and explicit inorganic aerosol thermodynamics. CESM/CAM with advanced chemistry and aerosol treatments is applied for decadal (2001- 2010) global climate predictions. The results demonstrate that the improved model is capable of predicting meteorology, radiation, and aerosol components, although large biases remain in predictions on cloud variables, likely due to the uncertainties in cloud dynamics and thermodynamics in the model. Sensitivity simulations using CESM/CAM with different gasphase mechanisms (i.e., CB05_GE and MOZART-4x) are also conducted to examine the differences in the secondary organic aerosols (SOA) predictions resulted from the two mechanisms and study the sensitivity of air quality and climate predictions to different gasphase mechanisms. The results show that MOZART-4x can predict better secondary organic aerosols (SOA) than CB05_GE at four sites over continental U.S., but both largely underpredict total organic carbon over Europe. The two gas-phase mechanisms result in a global average difference of 0.5 W m -2 in simulated shortwave cloud radiative forcing, with significant differences (e.g., up to 13.6 W m-2) over subtropical regions. Regional Earth system modeling is also important since fine scale feedbacks associated with interactions among Earth's components can substantially influence regional air quality and climate. The Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Modeling System enables integration of oceanic, atmospheric, wave and morphological processes in the coastal ocean. In this work, to investigate the impacts of airsea interactions on regional air quality predictions, Weather Research and Forecasting model with chemistry (WRF/Chem) turns on the option of1-D ocean mixed layer (OML) treatment and is coupled with the 3-D Regional Ocean Modeling System (ROMS) within COAWST. The sensitivity simulations are conducted over southeastern U.S. for July 2010. The results show that compared to WRF/Chem without ocean treatments, the changes in the sea surface temperature (SST) by WRF/Chem-OML and WRF/Chem-ROMS are 0.1 °C and 1.0 °C, respectively, and the differences in surface O3 and PM 2.5 can be as large as 17.3 ppb and 7.9 μg m-3, respectively. The largest changes in surface O3 and PM2.5 occur not only along coast and remote ocean, but also over inland area, indicating the significant impacts of air-sea interactions on chemical predictions. With coupling of 3-D ocean model, WRF/Chem-ROMS predictions of most clouds and radiative variables are improved, especially over ocean. WRF/Chem-ROMS predictions of surface chemical species such as SO2, HNO3, Max 1-h and 8-h O3, SO42-, NH4+, NO3-, and PM10 are also improved.

ISBN: 9781369638196Subjects--Topical Terms:

1669583
Atmospheric Chemistry.

Development and Evaluation of Earth System Models on Global and Regional Scales: Aerosol Chemistry and Dynamics, Air-Sea Interactions, and Retrospective Decadal Applications.
LDR:05347nmm a2200325 4500 001 2207359
005 20190920101642.5
008 201008s2015 ||||||||||||||||| ||eng d
020 $a 9781369638196
035 $a (MiAaPQ)AAI10585347
035 $a AAI10585347
040 $a MiAaPQ $c MiAaPQ
100 1 $a He, Jian. $3 1019423
245 1 0 $a Development and Evaluation of Earth System Models on Global and Regional Scales: Aerosol Chemistry and Dynamics, Air-Sea Interactions, and Retrospective Decadal Applications.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2015
300 $a 295 p.
500 $a Source: Dissertations Abstracts International, Volume: 78-09, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Zhang, Yang.
502 $a Thesis (Ph.D.)--North Carolina State University, 2015.
506 $a This item must not be added to any third party search indexes.
506 $a This item must not be sold to any third party vendors.
520 $a Earth system models have been used for climate predictions in recent years due to their capabilities to include coupled and interactive representations of Earth's components (e.g., atmosphere, ocean, land, and sea ice). The Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5) indicated that the uncertainties associated with cloud, aerosol, and their feedbacks, as well as uncertainties in near- and long-term projections from earth system models are emerging issues to be addressed by the scientific community. The Community Earth System Model (CESM) is a global Earth system model that has been developed to simulate the entire Earth system by coupling physical climate system with chemistry, biogeochemistry, biology, and human systems, and it has been applied to simulate global climate change as part of IPCC-AR5. In this work, to reduce the uncertainties associated with predicted aerosol impacts on climate, several advanced chemistry and aerosol treatments are implemented to Community Atmosphere Model (CAM), which is the atmospheric component of CESM. Those treatments include two new gas-phase chemical mechanisms (i.e., the 2005 Carbon Bond Mechanism with Global Extension (CB05_GE), and the Model for OZone and Related chemical Tracers version 4 with extension (MOZART-4x)), and several advanced inorganic aerosol treatments for condensation of volatile species, ion-mediated nucleation, and explicit inorganic aerosol thermodynamics. CESM/CAM with advanced chemistry and aerosol treatments is applied for decadal (2001- 2010) global climate predictions. The results demonstrate that the improved model is capable of predicting meteorology, radiation, and aerosol components, although large biases remain in predictions on cloud variables, likely due to the uncertainties in cloud dynamics and thermodynamics in the model. Sensitivity simulations using CESM/CAM with different gasphase mechanisms (i.e., CB05_GE and MOZART-4x) are also conducted to examine the differences in the secondary organic aerosols (SOA) predictions resulted from the two mechanisms and study the sensitivity of air quality and climate predictions to different gasphase mechanisms. The results show that MOZART-4x can predict better secondary organic aerosols (SOA) than CB05_GE at four sites over continental U.S., but both largely underpredict total organic carbon over Europe. The two gas-phase mechanisms result in a global average difference of 0.5 W m -2 in simulated shortwave cloud radiative forcing, with significant differences (e.g., up to 13.6 W m-2) over subtropical regions. Regional Earth system modeling is also important since fine scale feedbacks associated with interactions among Earth's components can substantially influence regional air quality and climate. The Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Modeling System enables integration of oceanic, atmospheric, wave and morphological processes in the coastal ocean. In this work, to investigate the impacts of airsea interactions on regional air quality predictions, Weather Research and Forecasting model with chemistry (WRF/Chem) turns on the option of1-D ocean mixed layer (OML) treatment and is coupled with the 3-D Regional Ocean Modeling System (ROMS) within COAWST. The sensitivity simulations are conducted over southeastern U.S. for July 2010. The results show that compared to WRF/Chem without ocean treatments, the changes in the sea surface temperature (SST) by WRF/Chem-OML and WRF/Chem-ROMS are 0.1 °C and 1.0 °C, respectively, and the differences in surface O3 and PM 2.5 can be as large as 17.3 ppb and 7.9 μg m-3, respectively. The largest changes in surface O3 and PM2.5 occur not only along coast and remote ocean, but also over inland area, indicating the significant impacts of air-sea interactions on chemical predictions. With coupling of 3-D ocean model, WRF/Chem-ROMS predictions of most clouds and radiative variables are improved, especially over ocean. WRF/Chem-ROMS predictions of surface chemical species such as SO2, HNO3, Max 1-h and 8-h O3, SO42-, NH4+, NO3-, and PM10 are also improved.
590 $a School code: 0155.
650 4 $a Atmospheric Chemistry. $3 1669583
650 4 $a Atmospheric sciences. $3 3168354
690 $a 0371
690 $a 0725
710 2 $a North Carolina State University. $b Marine, Earth, and Atmospheric Sciences. $3 3175791
773 0 $t Dissertations Abstracts International $g 78-09B.
790 $a 0155
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10585347