EGU24-522, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-522
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Deciphering the Multiscale Association between Indian Precipitation-Arctic Teleconnections Using Wavelet Analysis. 

sujata kulkarni1 and Ankit Agarwal2
sujata kulkarni and Ankit Agarwal
  • 1Department of Hydrology, IIT Roorkee, Roorkee, India(s_kulkarni@hy.iitr.ac.in)
  • 2Department of Hydrology, IIT Roorkee, Roorkee, India(ankit.agarwal@hy.iitr.ac.in)

The warming of the Arctic region is a significant global concern, and its repercussions extend far beyond polar and mid-latitudes. Rapid changes in sea ice have the potential to significantly impact atmospheric circulation, leading to variations in precipitation patterns across India at different spatial and temporal scales. The present study attempts to characterize the influence of Arctic Sea ice on the monthly precipitation over meteorologically homogeneous regions in India. To consider the regional variability of sea ice, the Arctic region is divided into the Pacific Arctic sector (PAS) and the Atlantic Arctic sector (AAS). The monthly precipitation in India and Arctic Sea ice concentration (SIC) at a monthly scale were decomposed using Maximum overlapping discrete wavelet transform (MODWT). The correlation between precipitation and SIC was analyzed to understand the multiscale association between SIC in the Arctic and precipitation in India. Our results indicate that the Pacific and the Atlantic Arctic sectors exert distinct influences on India. Alterations in sea ice, especially in the Atlantic Arctic sector, profoundly impact Indian precipitation. Notably, the Pacific Arctic sector does not exhibit any influence on the Northeast region across various time scales. The results enhance our nuanced comprehension of the intricate interplays between the climates of India and the Arctic, playing a pivotal role in advancing our ability to predict global climate.

How to cite: kulkarni, S. and Agarwal, A.: Deciphering the Multiscale Association between Indian Precipitation-Arctic Teleconnections Using Wavelet Analysis. , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-522, https://doi.org/10.5194/egusphere-egu24-522, 2024.