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Changing features of the Northern Hemisphere 500-hPa circumpolar vortex.
Bushra, Nazla; Rohli, Robert V; Li, Chunyan; Miller, Paul W; Mostafiz, Rubayet Bin.
Affiliation
  • Bushra N; Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA, United States.
  • Rohli RV; Coastal Studies Institute, Louisiana State University, Baton Rouge, LA, United States.
  • Li C; Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA, United States.
  • Miller PW; Coastal Studies Institute, Louisiana State University, Baton Rouge, LA, United States.
  • Mostafiz RB; Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA, United States.
Front Big Data ; 5: 1009158, 2022.
Article in En | MEDLINE | ID: mdl-36700138
ABSTRACT
The tropospheric circumpolar vortex (CPV), an important signature of processes steering the general atmospheric circulation, surrounds each pole and is linked to the surface weather conditions. The CPV can be characterized by its area and circularity ratio (R c ), which both vary temporally. This research advances previous work identifying the daily 500-hPa Northern Hemispheric CPV (NHCPV) area, R c , and temporal trends in its centroid by examining linear trends and periodic cycles in NHCPV area and R c (1979-2017). Results suggest that NHCPV area has increased linearly over time. However, a more representative signal of the planetary warming may be the temporally weakening gradient which has blurred NHCPV distinctiveness-perhaps a new indicator of Arctic amplification. R c displays opposing trends in subperiods and an insignificant overall trend. Distinct annual and semiannual cycles exist for area and R c over all subperiods. These features of NHCPV change over time may impact surface weather/climate.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Big Data Year: 2022 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Big Data Year: 2022 Document type: Article Affiliation country: