Articles | Volume 22, issue 10
https://doi.org/10.5194/hess-22-5125-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-5125-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Oct 2018
Research article |
| 04 Oct 2018
| 04 Oct 2018
Season-ahead forecasting of water storage and irrigation requirements – an application to the southwest monsoon in India
Arun Ravindranath
CORRESPONDING AUTHOR
Department of Civil Engineering, Center for Water Resources and Environmental Research (City Water Center), NOAA Center for Earth System Sciences and Remote Sensing Technologies,
City University of New York (City College), New York, NY 10031, USA
Naresh Devineni
Department of Civil Engineering, Center for Water Resources and Environmental Research (City Water Center), NOAA Center for Earth System Sciences and Remote Sensing Technologies,
City University of New York (City College), New York, NY 10031, USA
Upmanu Lall
Department of Earth and Environmental Engineering, Columbia Water Center, The Earth Institute, Columbia University, New York, NY 10027, USA
Paulina Concha Larrauri
Columbia Water Center, The Earth Institute, Columbia University, New York, NY 10027, USA
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Bianca Rahill-Marier, Naresh Devineni, and Upmanu Lall
Hydrol. Earth Syst. Sci., 26, 5685–5695, https://doi.org/10.5194/hess-26-5685-2022, https://doi.org/10.5194/hess-26-5685-2022, 2022
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We present a new approach to modeling extreme regional rainfall by considering the spatial structure of extreme events. The developed models allow a probabilistic exploration of how the regional drainage network may respond to extreme rainfall events and provide a foundation for how future risks may be better estimated.
Masahiko Haraguchi, Nicole Davi, Mukund Palat Rao, Caroline Leland, Masataka Watanabe, and Upmanu Lall
Nat. Hazards Earth Syst. Sci., 22, 2751–2770, https://doi.org/10.5194/nhess-22-2751-2022, https://doi.org/10.5194/nhess-22-2751-2022, 2022
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Mass livestock mortality during severe winters (dzud in Mongolian) is a compound event. Summer droughts are a precondition for dzud. We estimate the return levels of relevant variables: summer drought conditions and minimum winter temperature. The result shows that the return levels of drought conditions vary over time. Winter severity, however, is constant. We link climatic factors to socioeconomic impacts and draw attention to the need for index insurance.
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
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Extreme climate events can cause human and economic catastrophe at the global scale. For specific sectors, such as humanitarian aid or insurance, being able to understand how (i.e., with which frequency and intensity) these events can occur simultaneously at different locations or several times in a given amount of time and hit critical assets is all-important to design contingency plans. Here we develop an indicator to study co-occurence in space and time of wet and dry extremes.
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
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
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
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A global assessment of flood events using the Dartmouth Flood Observatory (DFO) database is performed here to explore the planetary nature of the trends in the frequency and duration of floods (short, moderate, and long). This comprehensive study is the very first global study of
actual flood eventswhich identifies temporal changes in frequencies and characteristics of probability distribution of flood durations to understand the changing organization of the local to global dynamical systems.
Yenan Wu, Upmanu Lall, Carlos H.R. Lima, and Ping-an Zhong
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-22, https://doi.org/10.5194/hess-2018-22, 2018
Revised manuscript has not been submitted
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We develop a hierarchical Bayesian (HB) model to reduce uncertainties in flood frequency analysis and explore suitable mapping function linking GEV parameters with drainage area. The results of HB model are compared with ordinary GEV model and index flood method.The application shows HB model provides more adequate confidence intervals than other used methods. This model also provides a better way for using fragmented data with varying lengths for analyzing spatial distribution of flood frequency.
Carlos H. R. Lima, Amir AghaKouchak, and Upmanu Lall
Earth Syst. Dynam., 8, 1071–1091, https://doi.org/10.5194/esd-8-1071-2017, https://doi.org/10.5194/esd-8-1071-2017, 2017
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Floods are the main natural disaster in Brazil, causing substantial economic damage and loss of life. Here we seek to better understand the flood-generating mechanisms in the flood-prone Paraná River basin, including large-scale patterns of the ocean and atmospheric circulation. This study provides new insights for understanding causes of floods in the region and around the world and is a step forward to improve flood risk management, statistical assessments, and short-term flood forecasts.
Luc Bonnafous, Upmanu Lall, and Jason Siegel
Hydrol. Earth Syst. Sci., 21, 2075–2106, https://doi.org/10.5194/hess-21-2075-2017, https://doi.org/10.5194/hess-21-2075-2017, 2017
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While water-risk management plans for economic assets are the norm on a local basis, it is possible that there is correlation in the climate induced portfolio water risk across operational sites. Therefore, from an investor's perspective, a need exists for a water risk index that allows for an exploration of the possible space and/or time clustering in exposure across many sites. This paper represents an attempt to develop such an index using long daily global modelled rainfall data sets.
Zhenkuan Su, Zhenchun Hao, Michelle Ho, Upmanu Lall, Xun Sun, Xi Chen, and Longzeng Yan
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-159, https://doi.org/10.5194/hess-2017-159, 2017
Manuscript not accepted for further review
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We examined the potential to use the basin-scale rainfall to directly model the streamflow and evaluate the effect of dam operations on summer flow risk over Yangtze River Basin. The result show that floods and droughts experienced in the post dam period were amplified, driven, or alleviated. The approach demonstrated here enabled one to develop and test both the rainfall induced variations and changes due to human activities on a river.
Mengqian Lu and Upmanu Lall
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-403, https://doi.org/10.5194/hess-2016-403, 2016
Revised manuscript not accepted
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This paper studies the nexus of air moisture, heavy rain and floods in the Northeast USA, with key research questions of how the moisture from the tropics move to the region, how they are related to heavy rain and floods in the area for different seasons, and what are the roles of atmosphere and climate. The study demonstrates the utility of statistics to understand physical system. It provides a statistically and physically based framework that similar studies can be conducted for other areas.
B. Merz, J. Aerts, K. Arnbjerg-Nielsen, M. Baldi, A. Becker, A. Bichet, G. Blöschl, L. M. Bouwer, A. Brauer, F. Cioffi, J. M. Delgado, M. Gocht, F. Guzzetti, S. Harrigan, K. Hirschboeck, C. Kilsby, W. Kron, H.-H. Kwon, U. Lall, R. Merz, K. Nissen, P. Salvatti, T. Swierczynski, U. Ulbrich, A. Viglione, P. J. Ward, M. Weiler, B. Wilhelm, and M. Nied
Nat. Hazards Earth Syst. Sci., 14, 1921–1942, https://doi.org/10.5194/nhess-14-1921-2014, https://doi.org/10.5194/nhess-14-1921-2014, 2014
X. Chen, D. Naresh, L. Upmanu, Z. Hao, L. Dong, Q. Ju, J. Wang, and S. Wang
Hydrol. Earth Syst. Sci., 18, 1653–1662, https://doi.org/10.5194/hess-18-1653-2014, https://doi.org/10.5194/hess-18-1653-2014, 2014
X. Chen, Z. Hao, N. Devineni, and U. Lall
Hydrol. Earth Syst. Sci., 18, 1539–1548, https://doi.org/10.5194/hess-18-1539-2014, https://doi.org/10.5194/hess-18-1539-2014, 2014
B. Merz, H. Kreibich, and U. Lall
Nat. Hazards Earth Syst. Sci., 13, 53–64, https://doi.org/10.5194/nhess-13-53-2013, https://doi.org/10.5194/nhess-13-53-2013, 2013
Related subject area
Subject: Water Resources Management | Techniques and Approaches: Stochastic approaches
Controls on flood managed aquifer recharge through a heterogeneous vadose zone: hydrologic modeling at a site characterized with surface geophysics
Spatiotemporal responses of the crop water footprint and its associated benchmarks under different irrigation regimes to climate change scenarios in China
Bridging the scale gap: obtaining high-resolution stochastic simulations of gridded daily precipitation in a future climate
3D multiple-point geostatistical simulation of joint subsurface redox and geological architectures
News media coverage of conflict and cooperation dynamics of water events in the Lancang–Mekong River basin
Analysis of the effects of biases in ensemble streamflow prediction (ESP) forecasts on electricity production in hydropower reservoir management
Using paleoclimate reconstructions to analyse hydrological epochs associated with Pacific decadal variability
Bias correction of simulated historical daily streamflow at ungauged locations by using independently estimated flow duration curves
Hydrostratigraphic modeling using multiple-point statistics and airborne transient electromagnetic methods
A risk assessment methodology to evaluate the risk failure of managed aquifer recharge in the Mediterranean Basin
A coupled stochastic rainfall–evapotranspiration model for hydrological impact analysis
Real-time updating of the flood frequency distribution through data assimilation
Estimating drought risk across Europe from reported drought impacts, drought indices, and vulnerability factors
The cost of ending groundwater overdraft on the North China Plain
Definition of efficient scarcity-based water pricing policies through stochastic programming
A dual-inexact fuzzy stochastic model for water resources management and non-point source pollution mitigation under multiple uncertainties
Just two moments! A cautionary note against use of high-order moments in multifractal models in hydrology
Determining spatial variability of dry spells: a Markov-based method, applied to the Makanya catchment, Tanzania
Streamflow droughts in the Iberian Peninsula between 1945 and 2005: spatial and temporal patterns
Estimating the flood frequency distribution at seasonal and annual time scales
Domestic wells have high probability of pumping septic tank leachate
Record extension for short-gauged water quality parameters using a newly proposed robust version of the Line of Organic Correlation technique
Calibration of the modified Bartlett-Lewis model using global optimization techniques and alternative objective functions
Trend analysis of extreme precipitation in the Northwestern Highlands of Ethiopia with a case study of Debre Markos
Zach Perzan, Gordon Osterman, and Kate Maher
Hydrol. Earth Syst. Sci., 27, 969–990, https://doi.org/10.5194/hess-27-969-2023, https://doi.org/10.5194/hess-27-969-2023, 2023
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In this study, we simulate flood managed aquifer recharge – the process of intentionally inundating land to replenish depleted aquifers – at a site imaged with geophysical equipment. Results show that layers of clay and silt trap recharge water above the water table, where it is inaccessible to both plants and groundwater wells. Sensitivity analyses also identify the main sources of uncertainty when simulating managed aquifer recharge, helping to improve future forecasts of site performance.
Zhiwei Yue, Xiangxiang Ji, La Zhuo, Wei Wang, Zhibin Li, and Pute Wu
Hydrol. Earth Syst. Sci., 26, 4637–4656, https://doi.org/10.5194/hess-26-4637-2022, https://doi.org/10.5194/hess-26-4637-2022, 2022
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Facing the increasing challenge of sustainable crop supply with limited water resources due to climate change, large-scale responses in the water footprint (WF) and WF benchmarks of crop production remain unclear. Here, we quantify the effects of future climate change scenarios on the WF and WF benchmarks of maize and wheat in time and space in China. Differences in crop growth between rain-fed and irrigated farms and among furrow-, sprinkler-, and micro-irrigated regimes are identified.
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
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Localized impacts of changing precipitation patterns on surface hydrology are often assessed at a high spatial resolution. Here we introduce a stochastic method that efficiently generates gridded daily precipitation in a future climate. The method works out a stochastic model that can describe a high-resolution data product in a reference period and form a realistic precipitation generator under a projected future climate. A case study of nine catchments in Norway shows that it works well.
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
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The protection of subsurface aquifers from contamination is an ongoing environmental challenge. Some areas of the underground have a natural capacity for reducing contaminants. In this research these areas are mapped in 3D along with information about, e.g., sand and clay, which indicates whether contaminated water from the surface will travel through these areas. This mapping technique will be fundamental for more reliable risk assessment in water quality protection.
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
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
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Hydrological forecasting allows hydropower system operators to make the most efficient use of the available water as possible. Accordingly, hydrologists have been aiming at improving the quality of these forecasts. This work looks at the impacts of improving systematic errors in a forecasting scheme on the hydropower generation using a few decision-aiding tools that are used operationally by hydropower utilities. We find that the impacts differ according to the hydropower system characteristics.
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
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Analyses of run lengths of Pacific decadal variability (PDV) suggest that there is no significant difference between run lengths in positive and negative phases of PDV and that it is more likely than not that the PDV run length has been non-stationary in the past millennium. This raises concerns about whether variability seen in the instrumental record (the last ~100 years), or even in the shorter 300–400 year paleoclimate reconstructions, is representative of the full range of variability.
William H. Farmer, Thomas M. Over, and Julie E. Kiang
Hydrol. Earth Syst. Sci., 22, 5741–5758, https://doi.org/10.5194/hess-22-5741-2018, https://doi.org/10.5194/hess-22-5741-2018, 2018
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This work observes that the result of streamflow simulation is often biased, especially with regards to extreme events, and proposes a novel technique to reduce this bias. By using parallel simulations of relative streamflow timing (sequencing) and the distribution of streamflow (magnitude), severe biases can be mitigated. Reducing this bias allows for improved utility of streamflow simulation for water resources management.
Adrian A. S. Barfod, Ingelise Møller, Anders V. Christiansen, Anne-Sophie Høyer, Júlio Hoffimann, Julien Straubhaar, and Jef Caers
Hydrol. Earth Syst. Sci., 22, 3351–3373, https://doi.org/10.5194/hess-22-3351-2018, https://doi.org/10.5194/hess-22-3351-2018, 2018
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Three-dimensional geological models are important to securing and managing groundwater. Such models describe the geological architecture, which is used for modeling the flow of groundwater. Common geological modeling approaches result in one model, which does not quantify the architectural uncertainty of the geology.
We present a comparison of three different state-of-the-art stochastic multiple-point statistical methods for quantifying the geological uncertainty using real-world datasets.
Paula Rodríguez-Escales, Arnau Canelles, Xavier Sanchez-Vila, Albert Folch, Daniel Kurtzman, Rudy Rossetto, Enrique Fernández-Escalante, João-Paulo Lobo-Ferreira, Manuel Sapiano, Jon San-Sebastián, and Christoph Schüth
Hydrol. Earth Syst. Sci., 22, 3213–3227, https://doi.org/10.5194/hess-22-3213-2018, https://doi.org/10.5194/hess-22-3213-2018, 2018
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In this work, we have developed a methodology to evaluate the failure risk of managed aquifer recharge, and we have applied it to six different facilities located in the Mediterranean Basin. The methodology was based on the development of a probabilistic risk assessment based on fault trees. We evaluated both technical and non-technical issues, the latter being more responsible for failure risk.
Minh Tu Pham, Hilde Vernieuwe, Bernard De Baets, and Niko E. C. Verhoest
Hydrol. Earth Syst. Sci., 22, 1263–1283, https://doi.org/10.5194/hess-22-1263-2018, https://doi.org/10.5194/hess-22-1263-2018, 2018
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In this paper, stochastically generated rainfall and corresponding evapotranspiration time series, generated by means of vine copulas, are used to force a simple conceptual hydrological model. The results obtained are comparable to the modelled discharge using observed forcing data. Yet, uncertainties in the modelled discharge increase with an increasing number of stochastically generated time series used. Still, the developed model has great potential for hydrological impact analysis.
Cristina Aguilar, Alberto Montanari, and María-José Polo
Hydrol. Earth Syst. Sci., 21, 3687–3700, https://doi.org/10.5194/hess-21-3687-2017, https://doi.org/10.5194/hess-21-3687-2017, 2017
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Assuming that floods are driven by both short- (meteorological forcing) and long-term perturbations (higher-than-usual moisture), we propose a technique for updating a season in advance the flood frequency distribution. Its application in the Po and Danube rivers helped to reduce the uncertainty in the estimation of floods and thus constitutes a promising tool for real-time management of flood risk mitigation. This study is the result of the stay of the first author at the University of Bologna.
Veit Blauhut, Kerstin Stahl, James Howard Stagge, Lena M. Tallaksen, Lucia De Stefano, and Jürgen Vogt
Hydrol. Earth Syst. Sci., 20, 2779–2800, https://doi.org/10.5194/hess-20-2779-2016, https://doi.org/10.5194/hess-20-2779-2016, 2016
Claus Davidsen, Suxia Liu, Xingguo Mo, Dan Rosbjerg, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 20, 771–785, https://doi.org/10.5194/hess-20-771-2016, https://doi.org/10.5194/hess-20-771-2016, 2016
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In northern China, rivers run dry and groundwater tables drop, causing economic losses for all water use sectors. We present a groundwater-surface water allocation decision support tool for cost-effective long-term recovery of an overpumped aquifer. The tool is demonstrated for a part of the North China Plain and can support the implementation of the recent China No. 1 Document in a rational and economically efficient way.
H. Macian-Sorribes, M. Pulido-Velazquez, and A. Tilmant
Hydrol. Earth Syst. Sci., 19, 3925–3935, https://doi.org/10.5194/hess-19-3925-2015, https://doi.org/10.5194/hess-19-3925-2015, 2015
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One of the most promising alternatives to improve the efficiency in water usage is the implementation of scarcity-based pricing policies based on the opportunity cost of water at the basin scale. Time series of the marginal value of water at selected locations (reservoirs) are obtained using a stochastic hydro-economic model and then post-processed to define step water pricing policies.
C. Dong, Q. Tan, G.-H. Huang, and Y.-P. Cai
Hydrol. Earth Syst. Sci., 18, 1793–1803, https://doi.org/10.5194/hess-18-1793-2014, https://doi.org/10.5194/hess-18-1793-2014, 2014
F. Lombardo, E. Volpi, D. Koutsoyiannis, and S. M. Papalexiou
Hydrol. Earth Syst. Sci., 18, 243–255, https://doi.org/10.5194/hess-18-243-2014, https://doi.org/10.5194/hess-18-243-2014, 2014
B. M. C. Fischer, M. L. Mul, and H. H. G. Savenije
Hydrol. Earth Syst. Sci., 17, 2161–2170, https://doi.org/10.5194/hess-17-2161-2013, https://doi.org/10.5194/hess-17-2161-2013, 2013
J. Lorenzo-Lacruz, E. Morán-Tejeda, S. M. Vicente-Serrano, and J. I. López-Moreno
Hydrol. Earth Syst. Sci., 17, 119–134, https://doi.org/10.5194/hess-17-119-2013, https://doi.org/10.5194/hess-17-119-2013, 2013
E. Baratti, A. Montanari, A. Castellarin, J. L. Salinas, A. Viglione, and A. Bezzi
Hydrol. Earth Syst. Sci., 16, 4651–4660, https://doi.org/10.5194/hess-16-4651-2012, https://doi.org/10.5194/hess-16-4651-2012, 2012
J. E. Bremer and T. Harter
Hydrol. Earth Syst. Sci., 16, 2453–2467, https://doi.org/10.5194/hess-16-2453-2012, https://doi.org/10.5194/hess-16-2453-2012, 2012
B. Khalil and J. Adamowski
Hydrol. Earth Syst. Sci., 16, 2253–2266, https://doi.org/10.5194/hess-16-2253-2012, https://doi.org/10.5194/hess-16-2253-2012, 2012
W. J. Vanhaute, S. Vandenberghe, K. Scheerlinck, B. De Baets, and N. E. C. Verhoest
Hydrol. Earth Syst. Sci., 16, 873–891, https://doi.org/10.5194/hess-16-873-2012, https://doi.org/10.5194/hess-16-873-2012, 2012
H. Shang, J. Yan, M. Gebremichael, and S. M. Ayalew
Hydrol. Earth Syst. Sci., 15, 1937–1944, https://doi.org/10.5194/hess-15-1937-2011, https://doi.org/10.5194/hess-15-1937-2011, 2011
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.
Devineni, N., Perveen, S., and Lall, U.: Assessing Chronic and Climate Induced
Water Risk Through Spatially Distributed Cumulative Deficit Measures: A New
Picture of Water Sustainability in India, Water Resour. Res., 49, 2135–2145, 2013.
Devineni, N., Lall, U., Etienne, E., Shi, D., and Xi, C.: America's water
risk: Current demand and climate variability, Geophys. Res. Lett., 42,
2285–2293, https://doi.org/10.1002/2015GL063487, 2015.
Dilling, L. and Lemos, M. C.: Creating usable science: Opportunities and
constraints for climate knowledge use and their implications for science policy,
Global Environ. Change, 21, 680–689, https://doi.org/10.1016/j.gloenvcha.2010.11.006, 2011.
Doorenbose, J. and Pruitt, W. O.: Guidelines for Predicting Crop Water Requirements,
Irrigation and Drainage Paper 24, FAO of the UN, Rome, 154 pp., 1977.
Economic Times: India Times, available at: http://articles.economictimes.indiatimes.com/2013-09-25/news/42394669_1_drip-irrigation-farming-market
(last access: 1 March 2018), 2013.
Efron, B.: Bootstrap Methods: Another Look at the Jacknife, Ann. Statist., 7, 1–26, 1979.
Efron, B. and Tibishirani, R.: An Introduction to the Bootstrap, Chapman and
Hall, New York, 456 pp., 1993.
Epstein, E. S.: A Scoring System for Probability Forecasts of Ranked
Categories, J. Appl. Meteorol., 8, 985–987, 1969.
Etienne, E., Devineni, N., Khanbilvardi, R., and Lall, U.: Development of a
Demand Sensitive Drought Index and its Application for Agriculture over the
Conterminous United States, J. Hydrol., 534, 219–229, https://doi.org/10.1016/j.jhydrol.2015.12.060, 2016.
Gadgil, S., Rajeevan, M., and Francis, P. A.: Monsoon Variability: Links to
Major Oscillations Over the Equatorial Pacific and Indian Oceans, Curr. Sci.
India, 93, 182–194, 2007.
Gordon, A. L., Ma, S., Olson, D. B., Hacker, P., Ffield, A., Talley, L. D.,
Wilson, D., and Baringer, M.: Advection and diffusion of Indonesian throughflow
water within the Indian Ocean South Equatorial Current, Geoophys. Res. Lett.,
24, 2573–2576, https://doi.org/10.1029/97GL01061, 1997.
Hargreaves, G. H. and Samani, Z. A.: Estimating Potential Evapotranspiration.
J. Irrig. Drain. Div., 108, 225–230, 1982.
Heim Jr., R. R.: A Review of Twentieth-Century Drought Indices Used in the
United States, B. Am. Meteorol. Soc., 83, 1149–1165, 2002.
Helsel, D. R. and Hirsch, R. M.: Statistical Methods in Water Resources,
US Geological Survey, 467 pp., 2002.
Ho, M., Parthasarathy, V., Etienne, E., Russo, T., Devineni, N., and Lall, U.:
America's water: Agricultural water demands and the response of groundwater,
Geophys. Res. Lett., 43, 7546–7555, https://doi.org/10.1002/2016GL069797, 2016.
Ihara, C., Kushnir, Y., Cane, M. A., and de la Peña, V. H.: Indian summer
monsoon rainfall and its link with ENSO and Indian Ocean climate indices, Int.
J. Climatol., 27, 179–187, https://doi.org/10.1002/joc.1394, 2007.
Kar, S., Acharya, N., Mohanty, U. C., and Kulkarni, M. A.: Skill of Monthly
Rainfall Forecasts Over India Using Multi-Model Ensemble Schemes, Int. J.
Climatol., 32, 1271–1286, https://doi.org/10.1002/joc.2334, 2012.
KNMI Climate Explorer: available at: https://climexp.knmi.nl, last
access: 1 January 2014.
Kumar, K. K., Sonam, M. K., and Kumar, R. K.: Seasonal Forecasting of Indian
Summer Monsoon Rainfall: A Review, Weather, 50, 449–467, https://doi.org/10.1002/j.1477-8696.1995.tb06071.x, 1995.
Lall, U. and Sharma, A.: A Nearest Neighbor Bootstrap for Resampling Hydrologic
Time Series, Water Resour. Res., 32, 679–693, https://doi.org/10.1029/95WR02966, 1996.
Li, S. and Goddard, L.: Retrospective Forecasts with the ECHAM4.5, AGCM IRI
Tech. Report, 5–2 December 2005, International Research Institute for
Climate and Society, Palisades, NY, 2005.
Liu, X. and Pan, Y.: Agricultural Drought Monitoring: Progress, Challenges, and
Prospects, J. Geogr. Sci., 26, 750–767, https://doi.org/10.1007/s11442-016-1297-9, 2016.
Mahalanobis, P. C.: On the Generalized Distance in Statistics, P. Natl. Inst.
Sci. India, 2, 49–55, 1936.
McKee, T. B., Doesken, N. J., and Kleist, J.: The Relationship of Drought
Frequency and Duration to Time Scales, in: Eighth Conference on Applied
Climatology, 17–22 January 1993, Anaheim, California, 1993.
Mishra, A. K. and Desai, V. R.: Drought Forecasting Using Stochastic Models,
Stoch. Environ. Risk Res. A, 19, 326–339, https://doi.org/10.1007/s00477-005-0238-4, 2005.
Mishra, A. K. and Desai, V. R.: Drought Forecasting Using Feed-Forward Recursive
Neural Network, Ecol. Model., 198, 127–138, https://doi.org/10.1016/j.ecolmodel.2006.04.017, 2006.
Mishra, A. K. and Singh, V. P.: A Review of Drought Concepts, J. Hydrol.,
391, 202–216, 2010.
Murphy, A. H.: On the “ranked probability score”, J. Appl. Meteorol., 8,
988–989, 1969.
Murphy, A. H.: A Note on the Ranked Probability Score, J. Appl. Meteorol.,
10, 155–156, 1971.
Nikam, A. V., Shendage, P. N., Jadhav, K. L., and Deokate, T. B.: Economics of
Production of Kharif Potato in Satara, India, Int. J. Agricult. Sci.,
4, 274–279, 2008.
Palmer, W. C.: Meteorological Drought, Research Paper No. 45, US Department of
Commerce, Washington, D.C., 65 pp., 1965.
Parthasarathy, B. and Pant, G. B.: Seasonal Relationships Between Indian
Summer Monsoon Rainfall and the Southern Oscillation, Int. J. Climatol., 5,
369–378, 1985.
Parthasarathy, B., Diaz, H. F., and Escheid, J. K.: Prediction of All-India
Summer Monsoon Rainfall with Regional and Large-Scale Parameters, J. Geophys.
Res., 93, 5341–5350, https://doi.org/10.1029/JD093iD05p05341, 1988.
Rajagopalan, B. and Lall, U.: A k-nearest neighbor simulator for daily
precipitation and other weather variables, Water Resour. Res., 35, 3089–3101, 1999.
Rajeevan, M., Bhate, J., Kale, J. D., and Lal, B.: High Resolution Daily Gridded
Rainfall Data for the Indian Region: Analysis of Break and Active Monsoon Spells,
Curr. Sci. India, 91, 296–306, 2006.
Rasmusson, E. M. and Carpenter, T. H.: The Relationship Between Eastern
Equatorial Pacific Sea Surface Temperature and Rainfall Over India and Sri
Lanka, Mon. Weather Rev., 111, 517–528, 1983.
Rockstrom, J., Karlberg, L., Wani, S. P., Barron, J., Hatibu, N., Oweis, T.,
Bruggeman, A., Farahani, J., and Qiang, Z.: Managing Water in Rainfed
Agriculture – The Need for a Paradigm Shift, Agr. Water Manage., 97, 543–550,
https://doi.org/10.1016/j.agwat.2009.09.009, 2009.
Roeckner, E., Brokopf, R., Esch, M., Giorgetta, M., Hagemann, S., Kornblueh,
L., Manzini, E., Schlese, U., and Schulzweida, U.: The atmospheric general
circulation model ECHAM5: Model description and simulation of present-day
climate, Rep. 218, Max-Planck-Institut für Meteorologie Hamburg, Germany,
90, 1996.
Serrano-Vicente, S. M., Beguería, S., and López-Moreno, J. I.: A
Multiscalar Drought Index Sensitive to Global Warming: The Standardized
Precipitation Evapotranspiration Index, J. Climate, 23, 1696–1718, https://doi.org/10.1175/2009JCLI2909.1, 2010.
Shah, R. D. and Mishra, V.: Utility of Global Ensemble Forecast System (GEFS)
Reforecast for Medium-Range Drought Prediction in India, J. Hydrometeorol., 17,
1781–1800, https://doi.org/10.1175/JHM-D-15-0050.1, 2016.
Shah, R. D., Sahai, A. K., and Mishra, V.: Short to Sub-Seasonal Hydrologic
Forecast to Manage Water and Agricultural Resources in India, Hydrol. Earth
Syst. Sci., 21, 707–720, https://doi.org/10.5194/hess-21-707-2017, 2017.
Shukla, J. and Paolino, D. A.: The Southern Oscillation and Long-Range
Forecasting of the Summer Monsoon Rainfall over India, Mon. Weather Rev.,
111, 1830–1837, 1983.
Sikka, D. R.: Some aspects of the large-scale fluctuations of summer monsoon
rainfall over India in relation to fluctuations in the planetary and regional
scale circulation parameters, P. Indian As.-Earth, 89, 179–195,
https://doi.org/10.1007/BF02913749, 1980.
Skees, J. R.: Innovations in Index Insurance for the Poor in Lower Income
Countries, Agr. Resour. Econ. Rev., 37, 1–15, https://doi.org/10.1017/S1068280500002094, 2016.
Souza, F. A. and Lall, U.: Seasonal to Interannual Ensemble Streamflow
Forecasts for Ceara, Brazil: Applications of Multivariate, Semiparametric
Algorithm, Water Resour. Res., 39, 13, https://doi.org/10.1029/2002WR001373, 2003.
Thapliyal, V.: Prediction of Indian Monsoon Variability Evaluation and
Prospects Including Development of a New Model, China Ocean Press, Beijing,
397–416, 1987.
USGS: Irrigation Water Use, available at: https://water.usgs.gov/edu/wuir.html
(last access: 14 March 2018), 2017.
van den Dool, H. M.: Empirical Methods in Short-Term Climate Prediction, Oxford
University Press, Oxford, 215 pp., 2007.
Walker, G. T.: Correlations in seasonal variations of weather, IX: A further
study of world weather (World Weather II), Memoirs India Meteorol. Depart.,
24, 275–332, 1924.
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.
We present a framework for forecasting water storage requirements in the agricultural sector and...
