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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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HESS | Articles | Volume 22, issue 10
Hydrol. Earth Syst. Sci., 22, 5125-5141, 2018
https://doi.org/10.5194/hess-22-5125-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 22, 5125-5141, 2018
https://doi.org/10.5194/hess-22-5125-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 04 Oct 2018

Research article | 04 Oct 2018

Season-ahead forecasting of water storage and irrigation requirements – an application to the southwest monsoon in India

Arun Ravindranath et al.
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Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop Evapotranspiration – Guidelines for Computing Crop Water Requirements, FAO Irrigation and Drainage Paper 56, FAO of the UN, Rome, 15 pp., 1998. 
Asoka, A. and Mishra, V.: Prediction of Vegetation Anomalies to Improve Food Security and Water Management in India, Geophys. Res. Lett., 42, 5290 –5298, 2015. 
Belayneh, A. and Adamowski, J.: Standard Precipitation Index Drought Forecasting Using Neural Networks, Wavelet Neural Networks and Support Vector Regression, Applied Computational Intelligence and Soft Computing, Hindawi, London, UK, 13 pp., 2012. 
Candille, G. and Talagrand, O.: Evaluation of Probabilistic Prediction Systems for a Scalar Variable, Q. J. Roy. Meteorol. Soc., 131, 2131 – 2150, 2005. 
Chen, X., Naresh, D., Upmanu, L., Hao, Z., Dong, L., Ju, Q., Wang, J., and Wang, S.: China's water sustainability in the 21st century: a climate-informed water risk assessment covering multi-sector water demands, Hydrol. Earth Syst. Sci., 18, 1653–1662, https://doi.org/10.5194/hess-18-1653-2014, 2014. 
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We present a framework for forecasting water storage requirements in the agricultural sector and an application of this framework to water risk assessment in India. Our framework involves defining a crop-specific water stress index and applying a particular statistical forecasting model to predict seasonal water stress for the crop of interest. The application focused on forecasting crop water stress for potatoes grown during the monsoon season in the Satara district of Maharashtra.
We present a framework for forecasting water storage requirements in the agricultural sector and...
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