Hydrology, Volume 9, Issue 8
2022 August - 22 articles
Cover Story: This work aims to involve water resource decision makers in the process of understanding and acknowledging the benefits of probabilistic predictions. Decision makers take risk-minimizing, no-regret decisions without any certainty of future events, and the dispersion of potential states due to the chaotic nature of atmospheric processes highly increases uncertainty. Thus, the uncertainty of future states, in the form of a predictive probability distribution, must be assessed using model forecasts adequately corrected to generate observations and projections into the future. Based on predictive distributions’ ability to encapsulate the best information on future events, users might then estimate “expected” benefits (or losses) and formulate planning/management strategies via optimizing them as Bayesian decision problems. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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