Articles | Volume 22, issue 10
Hydrol. Earth Syst. Sci., 22, 5125–5141, 2018
https://doi.org/10.5194/hess-22-5125-2018
Hydrol. Earth Syst. Sci., 22, 5125–5141, 2018
https://doi.org/10.5194/hess-22-5125-2018

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.

Related authors

Estimating Return Intervals for Extreme Climate Conditions Related to Winter Disasters and Livestock Mortality in Mongolia
Masahiko Haraguchi, Nicole Davi, Mukund Rao, Caroline Leland, Masataka Watanabe, and Upmanu Lall
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-258,https://doi.org/10.5194/nhess-2021-258, 2021
Preprint under review for NHESS
Short summary
Space-time clustering of climate extremes amplify global climate impacts, leading to fat-tailed risk
Luc Bonnafous and Upmanu Lall
Nat. Hazards Earth Syst. Sci., 21, 2277–2284, https://doi.org/10.5194/nhess-21-2277-2021,https://doi.org/10.5194/nhess-21-2277-2021, 2021
Short summary
Joint editorial: Invigorating hydrological research through journal publications
Nevil Quinn, Günter Blöschl, András Bárdossy, Attilio Castellarin, Martyn Clark, Christophe Cudennec, Demetris Koutsoyiannis, Upmanu Lall, Lubomir Lichner, Juraj Parajka, Christa D. Peters-Lidard, Graham Sander, Hubert Savenije, Keith Smettem, Harry Vereecken, Alberto Viglione, Patrick Willems, Andy Wood, Ross Woods, Chong-Yu Xu, and Erwin Zehe
Proc. IAHS, 380, 3–8, https://doi.org/10.5194/piahs-380-3-2018,https://doi.org/10.5194/piahs-380-3-2018, 2018
Joint editorial: Invigorating hydrological research through journal publications
Nevil Quinn, Günter Blöschl, András Bárdossy, Attilio Castellarin, Martyn Clark, Christophe Cudennec, Demetris Koutsoyiannis, Upmanu Lall, Lubomir Lichner, Juraj Parajka, Christa D. Peters-Lidard, Graham Sander, Hubert Savenije, Keith Smettem, Harry Vereecken, Alberto Viglione, Patrick Willems, Andy Wood, Ross Woods, Chong-Yu Xu, and Erwin Zehe
Hydrol. Earth Syst. Sci., 22, 5735–5739, https://doi.org/10.5194/hess-22-5735-2018,https://doi.org/10.5194/hess-22-5735-2018, 2018
Recent trends in the frequency and duration of global floods
Nasser Najibi and Naresh Devineni
Earth Syst. Dynam., 9, 757–783, https://doi.org/10.5194/esd-9-757-2018,https://doi.org/10.5194/esd-9-757-2018, 2018
Short summary

Related subject area

Subject: Water Resources Management | Techniques and Approaches: Stochastic approaches
Bridging the scale gap: obtaining high-resolution stochastic simulations of gridded daily precipitation in a future climate
Qifen Yuan, Thordis L. Thorarinsdottir, Stein Beldring, Wai Kwok Wong, and Chong-Yu Xu
Hydrol. Earth Syst. Sci., 25, 5259–5275, https://doi.org/10.5194/hess-25-5259-2021,https://doi.org/10.5194/hess-25-5259-2021, 2021
Short summary
3D multiple-point geostatistical simulation of joint subsurface redox and geological architectures
Rasmus Bødker Madsen, Hyojin Kim, Anders Juhl Kallesøe, Peter B. E. Sandersen, Troels Norvin Vilhelmsen, Thomas Mejer Hansen, Anders Vest Christiansen, Ingelise Møller, and Birgitte Hansen
Hydrol. Earth Syst. Sci., 25, 2759–2787, https://doi.org/10.5194/hess-25-2759-2021,https://doi.org/10.5194/hess-25-2759-2021, 2021
Short summary
News media coverage of conflict and cooperation dynamics of water events in the Lancang–Mekong River basin
Jing Wei, Yongping Wei, Fuqiang Tian, Natalie Nott, Claire de Wit, Liying Guo, and You Lu
Hydrol. Earth Syst. Sci., 25, 1603–1615, https://doi.org/10.5194/hess-25-1603-2021,https://doi.org/10.5194/hess-25-1603-2021, 2021
Analysis of the effects of biases in ensemble streamflow prediction (ESP) forecasts on electricity production in hydropower reservoir management
Richard Arsenault and Pascal Côté
Hydrol. Earth Syst. Sci., 23, 2735–2750, https://doi.org/10.5194/hess-23-2735-2019,https://doi.org/10.5194/hess-23-2735-2019, 2019
Short summary
Using paleoclimate reconstructions to analyse hydrological epochs associated with Pacific decadal variability
Lanying Zhang, George Kuczera, Anthony S. Kiem, and Garry Willgoose
Hydrol. Earth Syst. Sci., 22, 6399–6414, https://doi.org/10.5194/hess-22-6399-2018,https://doi.org/10.5194/hess-22-6399-2018, 2018
Short summary

Cited articles

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. 
Download
Short summary
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.