English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Hydro-meteorological variables, like precipitation, streamflow aresignificantly influenced by various climatic factors and large-scaleatmospheric circulation patterns. Efficient water resources management requiresan understanding of the effects of climate indices on the accuratepredictability of precipitation. This study aims at understanding thestandalone teleconnection between precipitation across India and the fourclimate indices, namely, Ni\~no 3.4, PDO, SOI, and IOD using partial waveletanalysis. The analysis considers the cross correlation between the climateindices while estimating the relationship with precipitation. Previous studieshave overlooked the interdependence between these climate indices whileanalysing their effect on precipitation. The results of the study reveal thatprecipitation is only affected by Ni\~no 3.4 and IOD and a non-stationaryrelationship exists between precipitation and these two climate indices.Further, partial wavelet analysis revealed that SOI and PDO do notsignificantly affect precipitation, but seems the other way because of theirinterdependence on Ni\~no 3.4. It was observed that partial wavelet analysisstrongly revealed the standalone relationship of climatic factors withprecipitation after eliminating other potential factors. Keywords: IndianPrecipitation, wavelet coherency, partial wavelet coherence, teleconnectionspatterns.

Partial wavelet coherence analysis for understanding the standalone relationship between Indian Precipitation and Teleconnection patterns