Possible Relationships Between the Interannual Anomalies of the South-North Positions of the Northeastern China Cold Vortexes and the Sea Surface Temperatures (SSTs) During the Early Summer Periods

Fang, Yihe; Lin, Yitong; Ren, Hong‐Li; Zhao, Chenxiao; Zhou, Fang; Li, Qian; Gu, Chun-Lai

doi:10.3389/feart.2020.557014

Cited by 9 publications

(11 citation statements)

References 33 publications

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“…In addition, it was found that the characteristics of the precipitation during the eastward short-range NCCV type process showed the meridional distribution characteristics of "more in the north and less in the south." These findings were observed to be consistent with the synthetic analysis results of Fang et al (2020).…”

Section: Influencing Effects Of the Nccv On The Precipitation In The Study Area Distribution Patterns Of The Precipitationsupporting

confidence: 90%

“…The number of duration days reached the highest value at the junction of Liaoning and Jilin. Fang et al (2020) found that when the SLM type NCCV occurred, the consistent results were that the temperature levels in NEC were relatively low. The high value areas of the number of duration days of the SLM and ESM type NCCV were consistently located in the northwestern sections of the region.…”

Section: Spatial Distributions Of Duration Days Of Nccvmentioning

confidence: 66%

“…In this study, we try to classify the NCCV into different types according to their active path by using the KMC method (Fang et al, 2020). The climatic characteristics of these types of NCCV and their impacts on the precipitation over NEC were analyzed.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…(2) NCEP/NCAR reanalysis dataset, variables are monthly mean wind field and geopotential height, the grid resolution is 2.5 • × 2.5 • . (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). We use wavelet analysis, correlation analysis and significance testing in this study.…”

Section: Methodsmentioning

confidence: 99%

“…Liang et al (2009) found through statistical examinations that the spatial distributions of the NCCV are quite different during different seasons. For example, during the early spring (April), the NCCV concentration areas are generally in the north portion of the NEC, which is located at approximately 52 • N. However, at the end of the spring season and the beginning of the summer season, the high-frequency areas of NCCV activities will potentially reach the southernmost point of the region, or at approximately 43 • N. Fang et al (2020) found that there is a significant relationship between the interannual anomalies of the south-north positions of the NCCV and the Sea Surface Temperatures (SSTs) During the Early Summer Periods. found through in-depth analysis of the NCCV activities that there were obvious spatial distribution characteristics for the NCCV from May to August.…”

Section: Introductionmentioning

confidence: 99%

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The Characteristics of Northeast China Cold Vortex With Different Active Paths in June and Their Relationship With Precipitation and Pre-SST

Fang

Zhang

Zhao

et al. 2021

Front. Environ. Sci.

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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.

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Section: Influencing Effects Of the Nccv On The Precipitation In The Study Area Distribution Patterns Of The Precipitationsupporting

confidence: 90%

Section: Spatial Distributions Of Duration Days Of Nccvmentioning

confidence: 66%

Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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