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    <title>Assessing water resource system vulnerability to unprecedented hydrological drought using copulas to characterize drought duration and deficit</title>
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    <keywords>hydrological drought; copula; hydrological persistence; vulnerability-based; drought vulnerability; climate change robustness</keywords>
    <abstract>Global climate models suggest an increase in evapotranspiration, changing storm tracks and moisture delivery in many parts of the world which are likely to cause more prolonged and severe drought, yet the weakness of climate models in modelling persistence of hydro-climatic variables and the uncertainties associated with regional climate projections mean that impact assessmnts based on climate model output may underestimate the risk of multi-year droughts. In this paper we propose a vulnerability-based approach to test water resource  system response to drought. We generate a large number of synthetic streamflow series with different drought durations and deficits and use them as input to a water resource system model. Marginal distributions of the streamflow for each month are generated by  bootstrapping the historical data, while the joint probability distributions of consecutive months are constructed using a copula-based method. Droughts with longer durations and larger deficits than the observed record are generated by perturbing the copula parameter  and by adopting an importance sampling strategy for low flows. In this way potential climate-induced changes in monthly hydrological  persistence are factored into the vulnerability analysis. The method is applied to the London water system (England) to investigate under  which drought conditions severe water use restrictions would need to be imposed. Results indicate that the water system is vulnerable to drought conditions outside the range of historical events. The vulnerability assessment results were coupled with climate model  information to compare alternative water management options with respect to their vulnerability to increasingly long and severe drought.</abstract>
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    <iiasa_bibref>Water Resources Research; 51(11):8927-8948 [November 2015] (Published online 29 October 2015)</iiasa_bibref>
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