Quantification of agricultural drought over Indian region: a multivariate phenology-based approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
http://link.springer.com/content/pdf/10.1007/s11069-020-03872-6.pdf
Reference59 articles.
1. AghaKouchak A (2014) A baseline probabilistic drought forecasting framework using Standardized Soil Moisture Index: application to the 2012 United States drought. Hydrol Earth Sys Sci 18(7):2485–2492. https://doi.org/10.5194/hess-18-2485-2014
2. Anomymous (2016) Manual for drought management. Department of Agriculture, Cooperation and Farmers Welfare, Government of India, New Delhi
3. Bardossy A (2006) Copula-based geostatistical models for groundwater quality parameters. Water Resour Res 42:W11416. https://doi.org/10.1029/2005wr004754
4. Boken VK, Cracknell AP, Heathcote RL (2005) Monitoring and predicting agricultural drought. Oxford University Press, Oxford
5. Cammalleri C, Micale F, Vogt J (2016) A novel soil moisture-based drought severity index (DSI) combining water deficit magnitude and frequency. Hydrol Proc 30(2):289–301
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