Variability, Teleconnections and LRF of NW India Winter Precipitation: Variability, Teleconnections and Long-Range Prediction of North-West India Winter Precipitation - Couverture souple

Yadav, Ramesh Kumar

 
9783844331059: Variability, Teleconnections and LRF of NW India Winter Precipitation: Variability, Teleconnections and Long-Range Prediction of North-West India Winter Precipitation

Synopsis

In this book, interannual variability of North-West India winter precipitation (NWIWP) has been examined. It has been found that the simultaneous relationship with ENSO and equatorial Indian Ocean SST relationship has strengthened and the North Atlantic Oscillation (NAO) relationship has weakened in the recent decades. The convective heating anomalies of the tropical atmosphere due to increased SST over equatorial Pacific and Indian Oceans during the excess NWIWP years increase the meridional temperature gradient, which in turn intensifies and shifts the sub-tropical westerly jet-stream to lower latitudes. The jet-stream over northern India plays an important role in modulating NWIWP. While, NAO intensifies subtropical high over North Atlantic and adjoining areas. This contributes to the synoptic forcing that helps to develop the trough over Caspian Sea and hence, excess NWIWP. Also, the simultaneous relationship between NWIWP and convective maximum over warm-pool region, increases the seasonal predictability of NWIWP. Of the three empirical seasonal forecast models developed for NWIWP, the Artificial Neural Network model with 6 predictors showed better skill.

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Présentation de l'éditeur

In this book, interannual variability of North-West India winter precipitation (NWIWP) has been examined. It has been found that the simultaneous relationship with ENSO and equatorial Indian Ocean SST relationship has strengthened and the North Atlantic Oscillation (NAO) relationship has weakened in the recent decades. The convective heating anomalies of the tropical atmosphere due to increased SST over equatorial Pacific and Indian Oceans during the excess NWIWP years increase the meridional temperature gradient, which in turn intensifies and shifts the sub-tropical westerly jet-stream to lower latitudes. The jet-stream over northern India plays an important role in modulating NWIWP. While, NAO intensifies subtropical high over North Atlantic and adjoining areas. This contributes to the synoptic forcing that helps to develop the trough over Caspian Sea and hence, excess NWIWP. Also, the simultaneous relationship between NWIWP and convective maximum over warm-pool region, increases the seasonal predictability of NWIWP. Of the three empirical seasonal forecast models developed for NWIWP, the Artificial Neural Network model with 6 predictors showed better skill.

Biographie de l'auteur

Ramesh Kumar Yadav was born on 15 December 1974 in India. He is Scientist in IITM, Pune since 2005 and completed his Ph.D there in 2007. He was Visiting Scientist (Post-Doc Fellow) in ICTP, Trieste, ITALY during July 2008 to June 2009 in the area of Climate Variability. He has published several Research papers in reputed International journals.

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