語系:
繁體中文
English
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
Land-atmosphere Exchange and Air Qua...
~
Sun, Xia.
FindBook
Google Book
Amazon
博客來
Land-atmosphere Exchange and Air Quality during Stable Atmospheric Boundary Layer Events.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Land-atmosphere Exchange and Air Quality during Stable Atmospheric Boundary Layer Events./
作者:
Sun, Xia.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
202 p.
附註:
Source: Dissertations Abstracts International, Volume: 81-02, Section: B.
Contained By:
Dissertations Abstracts International81-02B.
標題:
Atmospheric sciences. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13881064
ISBN:
9781085634892
Land-atmosphere Exchange and Air Quality during Stable Atmospheric Boundary Layer Events.
Sun, Xia.
Land-atmosphere Exchange and Air Quality during Stable Atmospheric Boundary Layer Events.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 202 p.
Source: Dissertations Abstracts International, Volume: 81-02, Section: B.
Thesis (Ph.D.)--University of Nevada, Reno, 2019.
This item must not be sold to any third party vendors.
Elevated air pollution concentrations have been observed under conditions with stable atmospheric boundary layers. The multiday stagnant meteorological conditions, especially the vertical structure of the atmospheric boundary layer (ABL) below 1 km in the atmosphere, have been notoriously difficult to capture using numerical weather prediction (NWP) models. The land-atmosphere exchange processes control the energy exchange at the interface of the surface and atmosphere, which impacts the ABL development. Thus, well-represented land-atmosphere exchange in numerical models is a perquisite for reliable meteorological predictability. A need for additional observations and numerical experiments focusing on the land-atmosphere exchange has been identified with the aim to improve NWP models and thus air quality modeling under stable ABL conditions. Persistent cold air pool (PCAP) events are accompanied by a stably stratified atmosphere and limited mixing and can lead to an accumulation of air pollution in valleys during winter. This dissertation analyzes the surface turbulent characteristics from observations and evaluates the numerical model performances using the Weather Research and Forecasting (WRF) model and the Community Multiscale Air Quality Modeling (CMAQ) System. The objective of this research is to investigate the land-atmosphere exchanges and air pollution concentrations during PCAPs, where a case study for the surface turbulent fluxes over rolling terrain is conducted first to investigate the WRF model sensitivity to land-use datasets, large-scale forcing datasets, and physics schemes. The findings from this first study in rolling terrain were used in model sensitivity runs to investigate the influence of boundary layer and land surface physics schemes on the model results for mountainous terrain during winter.Suppressed surface turbulence with lower magnitudes of sensible (H) and latent (LE) heat fluxes are observed during strong PCAP events compared with non-PCAPs. The surface turbulent fluxes are impacted by net radiation (Rn), PCAP scenario (PCAP or non-PCAP), as well as the CAP type (cloudy or dry). Dynamic land use information is needed in numerical models considering the spatial variations of surface exchange coefficient. The significantly overestimated H and LE in WRF is related to overestimated surface exchange coefficient (CH) and soil moisture. The underestimation of non-dimensional vertical gradient for temperature in stability functions based on the Monin-Obukhov similarity theory is responsible for the CH discrepancies. Numerical sensitivity experiments show that there is no one WRF configuration that performs best for all meteorology variables (temperature, wind speed, surface turbulent fluxes) and under all conditions (day and time, stable and unstable). The temporal variability of the elevated air pollution concentrations during PCAPs is captured by the CMAQ model, but CMAQ underestimates the magnitudes. Underestimation of the valley heat deficit accompanied by more vertical mixing in the model simulations contributes to the underestimation of PM2.5 concentrations compared with observations. This research highlights the need to develop new flux-profile relationships under stable conditions over complex terrain to improve the land-atmosphere exchange simulated in atmospheric models and the importance of meteorology uncertainties that contribute to air quality modeling deficiencies during PCAP events.
ISBN: 9781085634892Subjects--Topical Terms:
3168354
Atmospheric sciences.
Subjects--Index Terms:
Air pollution
Land-atmosphere Exchange and Air Quality during Stable Atmospheric Boundary Layer Events.
LDR
:04817nmm a2200421 4500
001
2272524
005
20201105110115.5
008
220629s2019 ||||||||||||||||| ||eng d
020
$a
9781085634892
035
$a
(MiAaPQ)AAI13881064
035
$a
AAI13881064
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Sun, Xia.
$3
825374
245
1 0
$a
Land-atmosphere Exchange and Air Quality during Stable Atmospheric Boundary Layer Events.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2019
300
$a
202 p.
500
$a
Source: Dissertations Abstracts International, Volume: 81-02, Section: B.
500
$a
Advisor: Holmes, Heather A.
502
$a
Thesis (Ph.D.)--University of Nevada, Reno, 2019.
506
$a
This item must not be sold to any third party vendors.
520
$a
Elevated air pollution concentrations have been observed under conditions with stable atmospheric boundary layers. The multiday stagnant meteorological conditions, especially the vertical structure of the atmospheric boundary layer (ABL) below 1 km in the atmosphere, have been notoriously difficult to capture using numerical weather prediction (NWP) models. The land-atmosphere exchange processes control the energy exchange at the interface of the surface and atmosphere, which impacts the ABL development. Thus, well-represented land-atmosphere exchange in numerical models is a perquisite for reliable meteorological predictability. A need for additional observations and numerical experiments focusing on the land-atmosphere exchange has been identified with the aim to improve NWP models and thus air quality modeling under stable ABL conditions. Persistent cold air pool (PCAP) events are accompanied by a stably stratified atmosphere and limited mixing and can lead to an accumulation of air pollution in valleys during winter. This dissertation analyzes the surface turbulent characteristics from observations and evaluates the numerical model performances using the Weather Research and Forecasting (WRF) model and the Community Multiscale Air Quality Modeling (CMAQ) System. The objective of this research is to investigate the land-atmosphere exchanges and air pollution concentrations during PCAPs, where a case study for the surface turbulent fluxes over rolling terrain is conducted first to investigate the WRF model sensitivity to land-use datasets, large-scale forcing datasets, and physics schemes. The findings from this first study in rolling terrain were used in model sensitivity runs to investigate the influence of boundary layer and land surface physics schemes on the model results for mountainous terrain during winter.Suppressed surface turbulence with lower magnitudes of sensible (H) and latent (LE) heat fluxes are observed during strong PCAP events compared with non-PCAPs. The surface turbulent fluxes are impacted by net radiation (Rn), PCAP scenario (PCAP or non-PCAP), as well as the CAP type (cloudy or dry). Dynamic land use information is needed in numerical models considering the spatial variations of surface exchange coefficient. The significantly overestimated H and LE in WRF is related to overestimated surface exchange coefficient (CH) and soil moisture. The underestimation of non-dimensional vertical gradient for temperature in stability functions based on the Monin-Obukhov similarity theory is responsible for the CH discrepancies. Numerical sensitivity experiments show that there is no one WRF configuration that performs best for all meteorology variables (temperature, wind speed, surface turbulent fluxes) and under all conditions (day and time, stable and unstable). The temporal variability of the elevated air pollution concentrations during PCAPs is captured by the CMAQ model, but CMAQ underestimates the magnitudes. Underestimation of the valley heat deficit accompanied by more vertical mixing in the model simulations contributes to the underestimation of PM2.5 concentrations compared with observations. This research highlights the need to develop new flux-profile relationships under stable conditions over complex terrain to improve the land-atmosphere exchange simulated in atmospheric models and the importance of meteorology uncertainties that contribute to air quality modeling deficiencies during PCAP events.
590
$a
School code: 0139.
650
4
$a
Atmospheric sciences.
$3
3168354
650
4
$a
Meteorology.
$3
542822
650
4
$a
Geophysics.
$3
535228
650
4
$a
Remote sensing.
$3
535394
650
4
$a
Aeronomy.
$3
2102064
650
4
$a
Climate change.
$2
bicssc
$3
2079509
653
$a
Air pollution
653
$a
Community Multiscale Air Quality Modeling
653
$a
Cold air pool
653
$a
Land-atmosphere interaction
653
$a
Persistent cold air pool
653
$a
Weather Research and Forecasting
690
$a
0725
690
$a
0557
690
$a
0367
690
$a
0404
690
$a
0799
690
$a
0373
710
2
$a
University of Nevada, Reno.
$b
Physics.
$3
2096755
773
0
$t
Dissertations Abstracts International
$g
81-02B.
790
$a
0139
791
$a
Ph.D.
792
$a
2019
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13881064
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9424758
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入