Full Text

Turn on search term navigation

© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Using multisource sea ice fusion data, the spatiotemporal characteristics of sea ice cover were analyzed for the marginal seas of East Asia for the period 2005–2021. The results show that there were obvious differences in the beginning and end dates of the sea ice in the different sea areas. The northern Sea of Japan had the longest ice period, and Laizhou Bay and Bohai Bay in the Bohai Sea had the shortest ice period. The time when the largest sea ice extent appeared was relatively stable and mostly concentrated in late January to mid-February. There were obvious spatial differences in the duration of the sea ice cover in the marginal seas of East Asia. The duration of the sea ice cover gradually decreased from high latitude to low latitude and from nearshore to open seas. The annual average duration of the sea ice cover was more than 100 days in most of the Sea of Japan and approximately 20 days in most of Laizhou Bay and Bohai Bay. The melting speed was significantly faster than the freezing speed in the Bohai Sea and Yellow Sea, resulting in asymmetric changes in the daily sea ice extent in the two seas. The increasing trends in the maximum sea ice extent and total sea ice extent were 0.912 × 105 km2/10 yr and 0.722 × 107 km2/10 yr, respectively, from 2005 to 2013, both of which passed the significance test at the 0.05 level.

Details

Title
Spatiotemporal Patterns of Sea Ice Cover in the Marginal Seas of East Asia
Author
Zhang, Lei 1 ; Ren, Guoyu 2   VIAFID ORCID Logo  ; Xu, Mei 1 ; Meng, Fanchao 3 ; Liao, Rongwei 4 ; Liu, Duanyang 5   VIAFID ORCID Logo  ; Wang, Minyan 6 ; Jia, Dan 7 

 Tianjin Meteorological Information Centre, Tianjin 300074, China; Tianjin Key Laboratory for Oceanic Meteorology, Tianjin 300074, China 
 Department of Atmospheric Science, School of Environmental Science, China University of Geosciences, Wuhan 430074, China; Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081, China 
 Tianjin Climate Center, Tianjin 300074, China 
 State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China 
 Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China 
 CMA Earth System Modeling and Prediction Centre, Beijing 100081, China 
 Binhai New Area Meteorological Bureau, Tianjin 300450, China 
First page
207
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
20734433
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2779523402
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.