Typical patterns of the water temperature distribution in the upper mixed layer of the Bering Sea in winter season

Author:

Luchin V. A.1ORCID

Affiliation:

1. V.I. Il’ichev Pacific Oceanological Institute, Far Eastern Branch of Russian Academy of Sciences

Abstract

Typical patterns of the water temperature distribution in the upper mixed layer of the Bering Sea in winter are determined on all available oceanographic data obtainedby research institutions of Russia, Japan, USA, and China. Previously [Luchin, 2023], the data were sorted to two sets presenting «cold» and «warm» winters. The proper set includes 2,492 oceanographic stations and the latter one – 2,130 stations. Spatial distribution of the temperature has some common patterns for both sets: the highest values (3–4 to 5–6 оC) are observed at the central and eastern passages between Aleutian Islands, primarily reflecting the Pacific waters invasion to the sea, then these waters are involved into the large-scale cyclonic gyre over the deep-water basin and transported along the continental slope that is indicated by 3оC isotherm. However, different types of the temperature distribution are well distinguished by prominent difference of its values that is amounted in 1.0–1.5о, up to 3–4о at the northwestern coast including the western part of the eastern Bering Sea slope. A wide set of potential predictors for interannual variability of thermal and dynamic conditions in the Bering Sea are examined using correlation analysis,including the global and regional climatic indices. There is concluded that the winter temperature fields are formed by several key factors, as the warm Pacific waters advection, the basin-scale cyclonic circulation, the vertical and lateral water mixing in the Aleutian sounds and at the continental slope, and fall-winter cooling of the surface layer driven by air–sea heat exchange.

Publisher

FSBSI TINRO Center

Subject

General Medicine

Reference54 articles.

1. Basyuk, E.O., Water dynamics and features of seasonal and inter-annual transformation of low-temperature waters of the north-western part of the Bering Sea, Vopr. Promysl. Oceanol., 2009, vol. 6, no. 1, pp. 222–238.

2. Botyanov, V.E., Atlas tipovykh poley vetra i vetrovogo volneniya shel’fovoy zony Kamchatki (Atlas of typical wind fields and wind waves of the Kamchatka shelf zone), Petropavlovsk-Kamchatsky, 1987.

3. Bugaev, A.V. and Tepnin, O.B., Estimation of some climatic factors influence on abundance of asian pink and chum salmons, Izv. Tikhookean. Nauchno-Issled. Inst. Rybn. Khoz. Okeanogr., 2011, vol. 166, pp. 67–87.

4. Bugaev, A.V., Tepnin, O.B., and Radchenko, V.I. Climate variability and pacific salmon productivity in Russian Far East, Issled. Vodn. Biol. Resur. Kamchatki Sev.-Zapadn. Chasti Tikhogo Okeana, 2018, vol. 49, pp. 5–50. doi 10.15853/2072-8212.2018.49.5-50

5. Vangengeim, G.Ya., On the issue of typification and schematization of atmospheric processes, Meteorol. Hydrol., 1938, no. 3, pp. 38–58.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3