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Using Downscaled Climate Model Output to Examine Climate Change in North Carolina.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Using Downscaled Climate Model Output to Examine Climate Change in North Carolina./
作者:	Robinson, Andrew.
面頁冊數:	1 online resource (97 pages)
附註:	Source: Masters Abstracts International, Volume: 83-11.
Contained By:	Masters Abstracts International83-11.
標題:	Atmospheric sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29170766click for full text (PQDT)
ISBN:	9798438753902

Using Downscaled Climate Model Output to Examine Climate Change in North Carolina.
Robinson, Andrew.

Using Downscaled Climate Model Output to Examine Climate Change in North Carolina. - 1 online resource (97 pages)

Source: Masters Abstracts International, Volume: 83-11.

Thesis (M.S.)--The University of North Carolina at Charlotte, 2022.

Includes bibliographical references

Climate change is a pressing issue people in North Carolina are already facing, and recent decades in North Carolina have exhibited a warming trend at the higher end of projected values. Due to North Carolina's diverse geography, climate is expected to change differently across the state. This geography can be broken down into three distinct regions: the Mountains, Piedmont, and Coastal Plain. We used downscaled climate model output to examine climate change in the largest population centers (Asheville, Charlotte, and Wilmington) in each of these regions to examine how climate change is projected to affect these places in the future for a representative month in the winter and summer. We examine how maximum temperature, minimum temperature, specific humidity, and precipitation change between the present and the end of the 21st Century using downscaled output from the 20 climate models in the Multivariate Adaptive Constructed Analogs (MACA) downscaling project. Climate is expected to warm and become more humid in North Carolina in Summer and Winter with wide variability in precipitation across the state, noting that the variability is only evident by considering output from multiple climate models. By examining North Carolina climate change at such a tangible level, this study intends to inform and equip decision makers as we prepare North Carolina and the distinct geographical regions for its future.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798438753902Subjects--Topical Terms:

3168354
Atmospheric sciences.
Subjects--Index Terms:

ClimateIndex Terms--Genre/Form:

542853
Electronic books.

Using Downscaled Climate Model Output to Examine Climate Change in North Carolina.
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520 $a Climate change is a pressing issue people in North Carolina are already facing, and recent decades in North Carolina have exhibited a warming trend at the higher end of projected values. Due to North Carolina's diverse geography, climate is expected to change differently across the state. This geography can be broken down into three distinct regions: the Mountains, Piedmont, and Coastal Plain. We used downscaled climate model output to examine climate change in the largest population centers (Asheville, Charlotte, and Wilmington) in each of these regions to examine how climate change is projected to affect these places in the future for a representative month in the winter and summer. We examine how maximum temperature, minimum temperature, specific humidity, and precipitation change between the present and the end of the 21st Century using downscaled output from the 20 climate models in the Multivariate Adaptive Constructed Analogs (MACA) downscaling project. Climate is expected to warm and become more humid in North Carolina in Summer and Winter with wide variability in precipitation across the state, noting that the variability is only evident by considering output from multiple climate models. By examining North Carolina climate change at such a tangible level, this study intends to inform and equip decision makers as we prepare North Carolina and the distinct geographical regions for its future.
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