The Coordinated Influence of Indian Ocean Sea Surface Temperature and Arctic Sea Ice on Anomalous Northeast China Cold Vortex Activities with Different Paths during Late Summer

Lin, Yitong; Fang, Yihe; Zhao, Chenxiao; Gong, Zhiqiang; Yang, Siqi; Yu, Yiqiu

doi:10.1007/s00376-022-1415-9

Cited by 7 publications

(7 citation statements)

References 52 publications

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“…Nakamura et al (2009) and Zheng et al (2013) adopted k‐means clustering methods to classify tropical cyclone paths in the Northwest Pacific Ocean. Fang et al (2021) and Lin et al (2022) used the k‐means method to objectively classify the Activity Paths of the Northeast China Cold Vortex.…”

Section: Methodsmentioning

confidence: 99%

Characteristics of spring Mongolian cyclones in the recent 70 years: Background circulations and weather influences

Wang,

Chen,

2023

Intl Journal of Climatology

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Based on the fifth‐generation reanalysis (ERA5) data of the European Centre for Medium Range Weather Forecasts (ECMWF), spring Mongolian cyclones were examined from 1950 to 2023. Then, based on the feature parameters of activity path information, machine learning method (k‐means) is used to classify the trajectories of spring Mongolian cyclone. Subsequently, the atmospheric circulation configurations of the three categories of Mongolian cyclones and their influence on the weather in China verify the reasonability of the classification method. Specifically: (1) eastward moving type, affecting Inner Mongolia and Northeast China (Clus‐1). The circulation background of the Clus‐1 cyclone displays a broad negative geopotential height anomaly centre over East Asia; (2) northeastward moving type, affecting northeast part of Northeast China (Clus‐2). The circulation background of the Clus‐2 cyclones shows a “positive–negative–positive” distribution of circulation anomalies in the European Plain, Lake Baikal and the Sea of Japan; (3) southeastward moving type, this type can move to the south of China (Clus‐3). The circulation background of the Clus‐3 cyclones is opposite to that of the Clus‐2 cyclones. The three categories of Mongolian cyclones will cause dust weather and strong winds in different regions of China, mainly affecting Inner Mongolia and Northeast China.

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Section: Methodsmentioning

confidence: 99%

Characteristics of spring Mongolian cyclones in the recent 70 years: Background circulations and weather influences

Wang,

Chen,

2023

Intl Journal of Climatology

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“…In this study, we use in the Community Atmosphere Model version 5.3 (CAM5.3) to further verify the physical linkages between the previous SST (or SIC) and the winter atmospheric circulation pattern. CAM5.3 is part of the Community Earth System Model version 1.2.2 (CESM1.2.2) modeling framework by the National Center for Atmospheric Research (NCAR) which has been used in the previous climate studies over East Asia (Zhang et al ., 2020; Lin et al ., 2022). The finite‐volume dynamical core configured with a horizontal resolution of 1.9° latitude × 2.5° longitude (f19_f19) and 30 vertical hybrid levels is selected.…”

Section: Methodsmentioning

confidence: 99%

“…Numerical (Zhang et al, 2020;Lin et al, 2022). The finite-volume dynamical core configured with a horizontal resolution of 1.9 latitude × 2.5 longitude (f19_f19) and 30 vertical hybrid levels is selected.…”

Section: Numerical Model and Sensitivity Experimentsmentioning

confidence: 99%

“…Kim and Ahn (2022) studied the cold waves in South Korea affected by blocking (B_CW) and not influenced by blocking, and further classified the (B_CW) into three types. Lin et al (2022) divided CWs over East Asia into two types with respect to their prevailing area and studied their impacts on El Niño.…”

Section: Introductionmentioning

confidence: 99%

“…Lin et al . (2022) divided CWs over East Asia into two types with respect to their prevailing area and studied their impacts on El Niño.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Two types of cold waves affecting northeast China and the corresponding different key regions of precedent sea ice and sea surface temperature

Fang

Lin

Zhao

et al. 2022

Intl Journal of Climatology

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Based on the daily minimum temperature data from 199 meteorological stations in northeast China (NEC), the cold wave (CW) processes in winter from 1980 to 2020 are identified. Then, by using the reanalysis 500-hPa geopotential height data provided by the European Centre for Medium-Range Weather Forecasts (ECMWF), the CWs are objectively classified into two types (abbreviated as Type 1 and Type 2) according to the corresponding atmospheric circulation through the hierarchical cluster algorithm (HCA). The relationships of the CWs with the Arctic sea sic (SIC) and sea surface temperature (SST) are revealed. For Type 1, the SIC in the north of the Barents Sea-Kara Sea is rela-

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Sub-Seasonal Predictability of the Northeast China Cold Vortex in BCC and ECMWF S2S Model Forecasts for 2006–2021

Yu,

Wu,

Fang

et al. 2024

J Meteorol Res

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The Coordinated Influence of Indian Ocean Sea Surface Temperature and Arctic Sea Ice on Anomalous Northeast China Cold Vortex Activities with Different Paths during Late Summer

Cited by 7 publications

References 52 publications

Characteristics of spring Mongolian cyclones in the recent 70 years: Background circulations and weather influences

Characteristics of spring Mongolian cyclones in the recent 70 years: Background circulations and weather influences

Two types of cold waves affecting northeast China and the corresponding different key regions of precedent sea ice and sea surface temperature

Sub-Seasonal Predictability of the Northeast China Cold Vortex in BCC and ECMWF S2S Model Forecasts for 2006–2021

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