Analyzing Variations in the Association of Eurasian Winter–Spring Snow Water Equivalent and Autumn Arctic Sea Ice
Because Eurasian snow water equivalent (SWE) is a key factor affecting the climate in the Northern Hemisphere, understanding the distribution characteristics of Eurasian SWE is important. Through empirical orthogonal function (EOF) analysis, we found that the first and second modes of Eurasian winte...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-01-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/2/243 |
_version_ | 1797490747992178688 |
---|---|
author | Jiajun Feng Yuanzhi Zhang Jin Yeu Tsou Kapo Wong |
author_facet | Jiajun Feng Yuanzhi Zhang Jin Yeu Tsou Kapo Wong |
author_sort | Jiajun Feng |
collection | DOAJ |
description | Because Eurasian snow water equivalent (SWE) is a key factor affecting the climate in the Northern Hemisphere, understanding the distribution characteristics of Eurasian SWE is important. Through empirical orthogonal function (EOF) analysis, we found that the first and second modes of Eurasian winter SWE present the distribution characteristics of an east–west dipole and north–south dipole, respectively. Moreover, the distribution of the second mode is caused by autumn Arctic sea ice, with the distribution of the north–south dipole continuing into spring. As the sea ice of the Barents–Kara Sea (BKS) decreases, a negative-phase Arctic oscillation (AO) is triggered over the Northern Hemisphere in winter, with warm and humid water vapor transported via zonal water vapor flux over the North Atlantic to southwest Eurasia, encouraging the accumulation of SWE in the southwest. With decreases in BKS sea ice, zonal water vapor transport in northern Eurasia is weakened, with meridional water vapor flux in northern Eurasia obstructing water vapor transport from the North Atlantic, discouraging the accumulation of SWE in northern Eurasia in winter while helping preserve the cold climate of the north. The distribution characteristics of Eurasian spring SWE are determined primarily by the memory effect of winter SWE. Whether analyzed through linear regression or support vector machine (SVM) methods, BKS sea ice is a good predictor of Eurasian winter SWE. |
first_indexed | 2024-03-10T00:37:25Z |
format | Article |
id | doaj.art-883ca3a98fe84d00af71bfefd9df9197 |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-10T00:37:25Z |
publishDate | 2022-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
spelling | doaj.art-883ca3a98fe84d00af71bfefd9df91972023-11-23T15:14:24ZengMDPI AGRemote Sensing2072-42922022-01-0114224310.3390/rs14020243Analyzing Variations in the Association of Eurasian Winter–Spring Snow Water Equivalent and Autumn Arctic Sea IceJiajun Feng0Yuanzhi Zhang1Jin Yeu Tsou2Kapo Wong3School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaCenter for Housing Innovations, Faculty of Social Science, Chinese University of Hong Kong, Hong Kong 999777, ChinaSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong 999666, ChinaBecause Eurasian snow water equivalent (SWE) is a key factor affecting the climate in the Northern Hemisphere, understanding the distribution characteristics of Eurasian SWE is important. Through empirical orthogonal function (EOF) analysis, we found that the first and second modes of Eurasian winter SWE present the distribution characteristics of an east–west dipole and north–south dipole, respectively. Moreover, the distribution of the second mode is caused by autumn Arctic sea ice, with the distribution of the north–south dipole continuing into spring. As the sea ice of the Barents–Kara Sea (BKS) decreases, a negative-phase Arctic oscillation (AO) is triggered over the Northern Hemisphere in winter, with warm and humid water vapor transported via zonal water vapor flux over the North Atlantic to southwest Eurasia, encouraging the accumulation of SWE in the southwest. With decreases in BKS sea ice, zonal water vapor transport in northern Eurasia is weakened, with meridional water vapor flux in northern Eurasia obstructing water vapor transport from the North Atlantic, discouraging the accumulation of SWE in northern Eurasia in winter while helping preserve the cold climate of the north. The distribution characteristics of Eurasian spring SWE are determined primarily by the memory effect of winter SWE. Whether analyzed through linear regression or support vector machine (SVM) methods, BKS sea ice is a good predictor of Eurasian winter SWE.https://www.mdpi.com/2072-4292/14/2/243Eurasian SWEArctic sea iceArctic oscillationwater vapor flux |
spellingShingle | Jiajun Feng Yuanzhi Zhang Jin Yeu Tsou Kapo Wong Analyzing Variations in the Association of Eurasian Winter–Spring Snow Water Equivalent and Autumn Arctic Sea Ice Remote Sensing Eurasian SWE Arctic sea ice Arctic oscillation water vapor flux |
title | Analyzing Variations in the Association of Eurasian Winter–Spring Snow Water Equivalent and Autumn Arctic Sea Ice |
title_full | Analyzing Variations in the Association of Eurasian Winter–Spring Snow Water Equivalent and Autumn Arctic Sea Ice |
title_fullStr | Analyzing Variations in the Association of Eurasian Winter–Spring Snow Water Equivalent and Autumn Arctic Sea Ice |
title_full_unstemmed | Analyzing Variations in the Association of Eurasian Winter–Spring Snow Water Equivalent and Autumn Arctic Sea Ice |
title_short | Analyzing Variations in the Association of Eurasian Winter–Spring Snow Water Equivalent and Autumn Arctic Sea Ice |
title_sort | analyzing variations in the association of eurasian winter spring snow water equivalent and autumn arctic sea ice |
topic | Eurasian SWE Arctic sea ice Arctic oscillation water vapor flux |
url | https://www.mdpi.com/2072-4292/14/2/243 |
work_keys_str_mv | AT jiajunfeng analyzingvariationsintheassociationofeurasianwinterspringsnowwaterequivalentandautumnarcticseaice AT yuanzhizhang analyzingvariationsintheassociationofeurasianwinterspringsnowwaterequivalentandautumnarcticseaice AT jinyeutsou analyzingvariationsintheassociationofeurasianwinterspringsnowwaterequivalentandautumnarcticseaice AT kapowong analyzingvariationsintheassociationofeurasianwinterspringsnowwaterequivalentandautumnarcticseaice |