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Impact of Siberian High Pressure on Winter-Time Climate Variability over Northern Part of Indo-Pak Region

Thesis Info

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Author

Riaz, Syed Muhammad Fahad

Program

PhD

Institute

University of Karachi

City

Karachi

Province

Sindh

Country

Pakistan

Thesis Completing Year

2016

Thesis Completion Status

Completed

Subject

Mathemaics

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/13901/1/PhD%20thesis_Fahad%20Riaz.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676726424207

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Previous literatures have linked the variability of climate in Northern part of South Asia with El-Nino Southern Oscillation (ENSO) and North Atlantic Oscillation (NAO) during winter season. The winter-time climate variability is explained by Siberian High pressure to more extent than that of NAO and ENSO over the mentioned region. Also, several studies presented the relationship between Arctic Oscillation (AO), Siberian High, East Asia winter temperature and monsoon. Thus, this thesis presents a fact that the Siberian High (SH) pressure is significantly responsible for the variability of winter-time climate over Northern areas of South Asia, particularly, over India and Pakistan which brings coldest air masses in the region. This thesis demonstrates the teleconnection between Siberian High pressure and wintertime climate variability over the mentioned region using “Centers of Action” (COA) approach as well as Singular Value Decomposition Analysis (SVDA). By introducing the objective indices for area-weighted pressure and the area-weighted latitude and longitude positions of the High, an analysis is carried out to show that winter precipitation and temperature in the mentioned region are significantly correlated with Siberian High pressure. This study will also explain the physical mechanisms to justify the empirical relationship between the Siberian High and regional climate by examining the composite maps of NCEP-NCAR Reanalysis data that are consistent with mathematical computations performed. The coupling between the sea-level pressure of Siberian High and wintertime climate variability has also been analyzed using SVD analysis. The results have been improved when SVDA is applied on coupled data fields.
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