Abstract

In this study, a K-means clustering (KMC) method was used to identify the paths of the Northeast China (NEC) Cold Vortex (NCCV). The NCCV was divided into four types according to the identified active paths: (1) Eastward movement type (EM); (2) Southeastward long-distance movement type (SLM); (3) Eastward short-distance movement type (ESM); and (4) Southward short-distance movement type (SSM). The characteristics of the four types of the NCCV, along with their impacts on the precipitation during early summer in NEC, were studied. The results showed that the KMC method can effectively divide the NCCV events into four different types. The maintaining days of these four types of the NCCV were found to have obvious interannual and interdecadal variation features. For example, the maintaining days of the EM and ESM types were mainly characterized by interannual variability, while the SLM and SSM types have the obvious 10–13a interdecadal variation along with interannual variability. In terms of the spatial distributions and impacts on precipitation, the EM type was found to appear in the majority of the areas located in NEC, the SLM type mainly occurred in the northwestern region of NEC and the highest rain center was located in the south-central portion, while the ESM type and SSM type were observed precipitation only appear in a small portion of the northeastern region. In addition, it is also observed the distribution of the sea-surface temperature (SST) anomalies had close relationship with the formation of these four types of the NCCV. The tripole distributions of the SST anomalies in the Atlantic Ocean corresponded to the EM type of the NCCV, the positive anomalies of SST in the eastern equatorial Pacific Ocean and negative anomalies in the western equatorial Pacific corresponded to the SLM type, the positive SSTs in the Northwest Pacific correspond to the ESM type, while negative anomalies SST in the western equatorial Pacific Ocean corresponded to the SSM type of the NCCV.

Highlights

  • Northeast China (NEC) located in the middle and high latitude areas of Northeast Asia, which includes Heilongjiang Province, Jilin Province, Liaoning Province, and the eastern portion of the Inner Mongolia Autonomous Region

  • Due to the obvious differences in the causes and variation characteristics of the Northeastern China Cold Vortex (NCCV), as well as its different impacts on climatic conditions in different regions of NEC during early summer, this study considered that the current findings were not enough to meet the urgent need for refined climate predictions in NEC if the NCCV was studied only as a whole

  • We try to classify the NCCV into different types according to their active path by using the K-means clustering (KMC) method (Fang et al, 2020)

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Summary

INTRODUCTION

Northeast China (NEC) located in the middle and high latitude areas of Northeast Asia, which includes Heilongjiang Province, Jilin Province, Liaoning Province, and the eastern portion of the Inner Mongolia Autonomous Region. Lian et al (2010) and Liu et al (2017) proposed that NCCV precipitation has has significant “cumulative effects,” which are generally reflected in the distribution characteristics of the precipitation anomalies in NEC during the early summer months. (3) Sea surface temperature (SST) data from Hadley Centre, the grid resolution is 1◦ × 1◦, This study classified the NCCV activity paths during the early summer months in NEC by adopting a K-means clustering method (K-Means, KM) (Fang et al, 2020). Screening of the NCCV Parameters The objective identification data of the NCCV processes during the early summer months in the study area were collected, including the duration times, longitudes, latitudes, geopotential heights of the NCCV centers, NCCV radii, and so on. Where xi and yi represent the longitude and latitude at time i on the NCCV paths, and n indicates the times of the positioning

Objective
CONCLUSION AND DISCUSSION
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DATA AVAILABILITY STATEMENT
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