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Category: forecast communication

How can we verify the predictive performance of ensemble hydroclimatic forecasts?

How can we verify the predictive performance of ensemble hydroclimatic forecasts?

Contributed by Zeqing Huang and Tongtiegang Zhao This blog aims to contribute to the large scientific discussion on the performance assessment of ensemble hydroclimatic forecasts. We are particularly driven by the valuable global precipitation and temperature forecasts generated by global climate models (GCMs) (Pappenberger and Buizza, 2009; Kirtman et al., 2014; Bauer et al., 2015; Becker et al., 2020; Crochemore et al., 2021). Their forecasts have been widely used in hydrological modeling and water resources management, including flood warning  (Alfieri…

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“Hydrological Constellations”: a science & art piece

“Hydrological Constellations”: a science & art piece

Contributed by Louise Arnal (artist & scientist; postdoctoral fellow at the University of Saskatchewan) From 29 June to 1 July 2021, the joint workshop “Connecting global to local hydrological modelling and forecasting: scientific advances and challenges”, co-organized by ECMWF – CEMS – C3S – HEPEX – GFP, was held virtually. As a scientist and artist, I wanted to participate and reflect on the topics explored during the workshop with both my scientist and artist hats on. With the support of…

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Representative Direct Ensemble Uncertainty Visualizations: Conveying Uncertainty Using A Small Portion of The Data

Representative Direct Ensemble Uncertainty Visualizations: Conveying Uncertainty Using A Small Portion of The Data

Contributed by Le Liu, PhD., School of Computer Science Northwestern Polytechnical University.   As we know, ensemble approaches are widely adopted to estimate forecasts uncertainty. In atmospheric sciences, these approaches are specifically categorized into two types: multi-model ensembles and perturbed parameter ensembles. The former runs multiple numerical prediction models with the same initial parameters to estimate the atmospheric evolution, while the latter runs a single model multiple times with slightly perturbed initial conditions. They are usually combined to form the final forecast….

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“Are we talking just a bit of water out of bank? Or is it Armageddon?” Front line perspectives on transitioning to probabilistic fluvial flood forecasts in England

“Are we talking just a bit of water out of bank? Or is it Armageddon?” Front line perspectives on transitioning to probabilistic fluvial flood forecasts in England

Contributed by Louise Arnal, Jess Neumann, Liz Stephens and Hannah Cloke This blog post is based on a paper recently published in Geoscience Communication, written in collaboration with Liz Anspoks, Sue Manson, Tim Norton and Louise Wolfenden from the Environment Agency. With the aim to better anticipate future floods, UK policy is seeing an ongoing shift from flood defence towards a forecast-based flood risk management approach, under the Flood and Water Management Act 2010. It is in this context that…

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New water modelling to improve irrigation outlook accuracy

New water modelling to improve irrigation outlook accuracy

Contributed by Yating Tang1, Catherine Norwood2, Q J Wang1, Guy Ortlipp3, Mark Bailey3, and Kirsti Hakala1. Goulburn-Murray Water (GMW), Australia’s largest rural water corporation, has teamed up with researchers from the University of Melbourne to improve water forecasting in northern Victoria, to help irrigators with their business planning, cropping and water trading decisions. GMW is responsible for providing water availability information to local irrigators and other water users during the irrigation season each year. GMW provides two types of information…

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