Trends and variability of droughts over the Indian monsoon region

Show simple item record Mallya, Ganeshchandra Mishra, Vimal Niyogi, Dev Tripathi, Shivam Mani Govindaraju, Rao S 2016-02-22T10:15:44Z 2016-02-22T10:15:44Z 2016-06
dc.identifier.citation Mallya, Ganeshchandra; Mishra, Vimal; Niyogi, Dev; Tripathi, Shivam and Govindaraju, Rao S., “Trends and variability of droughts over the Indian monsoon region”, Weather and Climate Extremes, DOI: 10.1016/j.wace.2016.01.002, vol. 12, pp. 43-68, Jun. 2016.
dc.identifier.issn 2212-0947
dc.description.abstract Drought characteristics for the Indian monsoon region are analyzed using two different datasets and standard precipitation index (SPI), standardized precipitation-evapotranspiration index (SPEI), Gaussian mixture model-based drought index (GMM-DI), and hidden Markov model-based drought index (HMM-DI) for the period 1901–2004. Drought trends and variability were analyzed for three epochs: 1901–1935, 1936–1971 and 1972–2004. Irrespective of the dataset and methodology used, the results indicate an increasing trend in drought severity and frequency during the recent decades (1972–2004). Droughts are becoming more regional and are showing a general shift to the agriculturally important coastal south-India, central Maharashtra, and Indo-Gangetic plains indicating higher food security and socioeconomic vulnerability in the region. en_US
dc.description.statementofresponsibility by Ganeshchandra Mallya, Vimal Mishra, Dev Niyogi, Shivam Mani Tripathi and Rao S. Govindaraju
dc.format.extent vol. 12, pp. 43-68
dc.language.iso en_US en_US
dc.publisher Elsevier en_US
dc.subject Drought index en_US
dc.subject Hidden Markov model en_US
dc.subject Standard precipitation index en_US
dc.subject Gaussian mixture model en_US
dc.subject Indian monsoon en_US
dc.subject Uncertainty analysis en_US
dc.subject Drought vulnerability en_US
dc.title Trends and variability of droughts over the Indian monsoon region en_US
dc.type Article en_US
dc.relation.journal Weather and Climate Extremes

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