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- W3159009512 abstract "A widely used indicator of Indian summer monsoon variability is the June-July-August-September (JJAS) rainfall rate averaged over all of India (AIR). But AIR's relationship with the spatial extent of dry or wet anomalies across India is contested, its relationship with El Nino-Southern Oscillation (ENSO) has weakened since the early 20th century, and its relationship with the Equatorial Indian Ocean Oscillation (EQUINOO) has only been examined for the late 20th and 21st centuries. We explore these issues using long-duration (1901-2020), sea surface temperature, reanalysis, and high-resolution rainfall ($0.25^circtimes0.25^circ$) gridded rainfall datasets. AIR is highly correlated ($r>0.95$) both with indices determined predominantly by raw rainfall anomalies in the high-variance Central Monsoon Zone and Western Ghats regions and with indices we define characterizing the spatial extent of standardized rainfall anomalies across all of India: the high-rainfall regions dictate AIR emph{and} vary closely with the extent of drought or excess rainfall over the subcontinent. The JJAS rainfall regression patterns for ENSO and EQUINOO change in compensating ways from the pre-satellite to satellite eras, such that a combined index, ENSINOO, is more stable and corresponds to widespread drying or wetting. Because EQUINOO exhibits strong variance on daily as well as seasonal timescales, however, it is not obvious to what extent its seasonal-mean signal reflects a remotely forced teleconnection vs. the residual of larger, shorter-timescale variability." @default.
- W3159009512 created "2021-05-10" @default.
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- W3159009512 date "2021-04-26" @default.
- W3159009512 modified "2023-09-27" @default.
- W3159009512 title "Indian summer monsoon rainfall interannual variability: spatial signatures and teleconnections" @default.
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