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
Historical and Future Changes in Col...
~
Smith, Erik Tyler.
FindBook
Google Book
Amazon
博客來
Historical and Future Changes in Cold Air Outbreaks Across the Globe and the Influence of Atmospheric Teleconnections.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Historical and Future Changes in Cold Air Outbreaks Across the Globe and the Influence of Atmospheric Teleconnections./
作者:
Smith, Erik Tyler.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:
159 p.
附註:
Source: Dissertations Abstracts International, Volume: 82-10, Section: B.
Contained By:
Dissertations Abstracts International82-10B.
標題:
Geography. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28487159
ISBN:
9798597090283
Historical and Future Changes in Cold Air Outbreaks Across the Globe and the Influence of Atmospheric Teleconnections.
Smith, Erik Tyler.
Historical and Future Changes in Cold Air Outbreaks Across the Globe and the Influence of Atmospheric Teleconnections.
- Ann Arbor : ProQuest Dissertations & Theses, 2021 - 159 p.
Source: Dissertations Abstracts International, Volume: 82-10, Section: B.
Thesis (Ph.D.)--Kent State University, 2021.
This item must not be sold to any third party vendors.
Cold Air Outbreaks (CAOs) are extreme events that can negatively impact the agricultural industry, human health, and cause widespread power outages from increased energy consumption. A systematic CAO classification was developed using two different climate reanalysis data sets from 1979 - 2018. Trends in CAOs were calculated for different regions across the globe and the results from each reanalysis dataset compared with one another to identify discrepancies. CAOs occur more frequently in the Northern Hemisphere than the Southern Hemisphere with the highest number of CAOs in Europe, Central Eurasia, and North America. CAOs were found to have decreased in spatial extent, frequency, duration, and magnitude across much of the globe, particularly across Alaska, Canada, and the North Atlantic, while an increase in CAOs was observed in Eastern Europe, Central Eurasia, and the Southern Ocean. Early and late winter CAOs have also become much less frequent in most regions. Increasing the predictability of CAOs is critical to limiting the adverse impacts on society, but skillful predictions rely on well-defined mechanisms of causation. To improve the understanding of CAO mechanisms, this study examines the relationship between atmospheric and oceanic teleconnection indices and CAOs in the Northern Hemisphere (NH) during two distinct periods, 1979 - 1998 and 1999 - 2018. Changes in the relationship between CAOs and teleconnections during these two periods are calculated and used to determine the teleconnections that currently have the strongest relationship with CAOs across the NH. Several significant relationships are found to no longer be significant while several other significant relationships have emerged, particularly with the Tropical Northern Hemisphere (TNH) pattern. Upstream teleconnections, as opposed to downstream teleconnections, were generally found to have a stronger relationship with CAOs. The East Pacific Oscillation (EPO) and East Pacific/North Pacific (EPNP) pattern were found to have the strongest relationship with CAOs in the eastern United States (US) and Alaska, while the Arctic Oscillation (AO), North Atlantic Oscillation (NAO), Greenland Blocking Index (GBI), and Scandinavian (SCA) pattern have the strongest relationship with CAOs in Eurasia. Finally, historical and future simulated temperature data from five climate models in the Coupled Model Intercomparing Project Phase 6 (CMIP6) are used to understand how climate change might alter cold air outbreaks (CAOs) in the future. Three different Shared Socioeconomic Pathways (SSPs), SSP 1 - 2.6, SSP 2 - 4.5, and SSP 5 - 8.5 are examined to identify potential fluctuations in CAOs across the globe between 2015 and 2054. Though CAOs may remain persistent or even increase in some regions through 2040, all five climate models show CAOs disappearing by 2054. Climate models were able to accurately simulate the spatial distribution and trends of historical CAOs, but there were large errors in the simulated interannual frequency of CAOs in the North Atlantic and North Pacific. Fluctuations in complex processes, such as Atlantic Meridional Overturning Circulation, may be contributing to each model's inability to simulate historical CAOs in these regions.
ISBN: 9798597090283Subjects--Topical Terms:
524010
Geography.
Subjects--Index Terms:
Cold air outbreaks
Historical and Future Changes in Cold Air Outbreaks Across the Globe and the Influence of Atmospheric Teleconnections.
LDR
:04572nmm a2200409 4500
001
2281627
005
20210920103602.5
008
220723s2021 ||||||||||||||||| ||eng d
020
$a
9798597090283
035
$a
(MiAaPQ)AAI28487159
035
$a
(MiAaPQ)OhioLINKkent1615739656563986
035
$a
AAI28487159
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Smith, Erik Tyler.
$3
3560312
245
1 0
$a
Historical and Future Changes in Cold Air Outbreaks Across the Globe and the Influence of Atmospheric Teleconnections.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2021
300
$a
159 p.
500
$a
Source: Dissertations Abstracts International, Volume: 82-10, Section: B.
500
$a
Advisor: Sheridan, Scott.
502
$a
Thesis (Ph.D.)--Kent State University, 2021.
506
$a
This item must not be sold to any third party vendors.
520
$a
Cold Air Outbreaks (CAOs) are extreme events that can negatively impact the agricultural industry, human health, and cause widespread power outages from increased energy consumption. A systematic CAO classification was developed using two different climate reanalysis data sets from 1979 - 2018. Trends in CAOs were calculated for different regions across the globe and the results from each reanalysis dataset compared with one another to identify discrepancies. CAOs occur more frequently in the Northern Hemisphere than the Southern Hemisphere with the highest number of CAOs in Europe, Central Eurasia, and North America. CAOs were found to have decreased in spatial extent, frequency, duration, and magnitude across much of the globe, particularly across Alaska, Canada, and the North Atlantic, while an increase in CAOs was observed in Eastern Europe, Central Eurasia, and the Southern Ocean. Early and late winter CAOs have also become much less frequent in most regions. Increasing the predictability of CAOs is critical to limiting the adverse impacts on society, but skillful predictions rely on well-defined mechanisms of causation. To improve the understanding of CAO mechanisms, this study examines the relationship between atmospheric and oceanic teleconnection indices and CAOs in the Northern Hemisphere (NH) during two distinct periods, 1979 - 1998 and 1999 - 2018. Changes in the relationship between CAOs and teleconnections during these two periods are calculated and used to determine the teleconnections that currently have the strongest relationship with CAOs across the NH. Several significant relationships are found to no longer be significant while several other significant relationships have emerged, particularly with the Tropical Northern Hemisphere (TNH) pattern. Upstream teleconnections, as opposed to downstream teleconnections, were generally found to have a stronger relationship with CAOs. The East Pacific Oscillation (EPO) and East Pacific/North Pacific (EPNP) pattern were found to have the strongest relationship with CAOs in the eastern United States (US) and Alaska, while the Arctic Oscillation (AO), North Atlantic Oscillation (NAO), Greenland Blocking Index (GBI), and Scandinavian (SCA) pattern have the strongest relationship with CAOs in Eurasia. Finally, historical and future simulated temperature data from five climate models in the Coupled Model Intercomparing Project Phase 6 (CMIP6) are used to understand how climate change might alter cold air outbreaks (CAOs) in the future. Three different Shared Socioeconomic Pathways (SSPs), SSP 1 - 2.6, SSP 2 - 4.5, and SSP 5 - 8.5 are examined to identify potential fluctuations in CAOs across the globe between 2015 and 2054. Though CAOs may remain persistent or even increase in some regions through 2040, all five climate models show CAOs disappearing by 2054. Climate models were able to accurately simulate the spatial distribution and trends of historical CAOs, but there were large errors in the simulated interannual frequency of CAOs in the North Atlantic and North Pacific. Fluctuations in complex processes, such as Atlantic Meridional Overturning Circulation, may be contributing to each model's inability to simulate historical CAOs in these regions.
590
$a
School code: 0101.
650
4
$a
Geography.
$3
524010
650
4
$a
Climate change.
$2
bicssc
$3
2079509
650
4
$a
Atmospheric sciences.
$3
3168354
650
4
$a
Environmental science.
$3
677245
653
$a
Cold air outbreaks
653
$a
Extreme cold events
653
$a
Climate change
653
$a
Polar outbreak
653
$a
Cold wave
653
$a
Temperature trends
690
$a
0725
690
$a
0404
690
$a
0366
690
$a
0768
710
2
$a
Kent State University.
$b
College of Arts and Sciences / Department of Geography.
$3
3183747
773
0
$t
Dissertations Abstracts International
$g
82-10B.
790
$a
0101
791
$a
Ph.D.
792
$a
2021
793
$a
English
856
4 0
$u
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28487159
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
W9433360
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