Drought forecasting through statistical models using standardised precipitation index: a systematic review and meta-regression analysis
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Title
Drought forecasting through statistical models using standardised precipitation index: a systematic review and meta-regression analysis
Authors
Keywords
Drought forecasting, Meta-regression analysis, Standardised precipitation index, Model performance
Journal
NATURAL HAZARDS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-07-16
DOI
10.1007/s11069-019-03665-6
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- (2014) Sujay Raghavendra. N et al. APPLIED SOFT COMPUTING
- A new index for variations in the position of the South Pacific convergence zone 1910/11–2011/2012
- (2014) M. J. Salinger et al. CLIMATE DYNAMICS
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- Data-driven modelling: some past experiences and new approaches
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