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Meeting user needs for sub-seasonal streamflow forecasts in Australia

Meeting user needs for sub-seasonal streamflow forecasts in Australia

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By Tongtiegang Zhao, Andrew Schepen and Q.J. Wang, members of the CSIRO Columnist Team Good streamflow forecasts allow water management agencies to make better decisions and achieve more efficient water use. Currently, the Australian Bureau of Meteorology provides seasonal forecasts of three-month-total streamflow for over 200 gauging stations around Australia. Forecast users, particularly water management agencies, also require sub-seasonal streamflow forecasts, so that they can better plan short-term water use. Our recent study responds to this user need by testing ensemble sub-seasonal to seasonal…

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Short-term optimization of a tropical hydropower reservoir operation using deterministic and ensemble forecasts

Short-term optimization of a tropical hydropower reservoir operation using deterministic and ensemble forecasts

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Contributed by Fernando Fan, member of the LSH Research Group Guest Columnist Team As we said in previous posts, hydropower is the most important source of electricity in Brazil and it is subject to the natural variability of water yield. Its extremes lead to the risks of power production deficits during droughts, and to safety issues in the reservoir and downstream river reaches during flood events. One building block of the proper management of hydropower assets is the short-term forecast…

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The family of the GR hydrological models – Interview with Charles Perrin and Vazken Andréassian

The family of the GR hydrological models – Interview with Charles Perrin and Vazken Andréassian

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Contributed by Guillaume Thirel and Maria-Helena Ramos, members of the Irstea Guest Columnist Team You may have already heard of one of the GR models developed by the Catchment Hydrology research group at Irstea in the Centre of Antony (France). Or you may have already run one of these models in your study catchments or as an exercise with your students. These models started to be developed in the 80’s, with the support of data from the Orgeval experimental basin, a 104-km²…

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Uncertainty in operational hydrological forecasting: Insights from SMHI’s services

Uncertainty in operational hydrological forecasting: Insights from SMHI’s services

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Contributed by Ilias Pechlivanidis  (SMHI), member of the SMHI Guest Columnist Team Background The production of hydrological forecasts generally involves the selection of model(s) and their setup, calibration and initialization, verification and updating, generation and evaluation of forecasts. However, the precision of hydrological forecasts is often subject to both epistemic and aleatory uncertainties, with the former being related to various components of the production chain and the data used. Aleatory uncertainty refers to quantities or natural phenomena that are inherently variable over time and…

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The importance of river hydrodynamics modeling for large scale flood forecasting

The importance of river hydrodynamics modeling for large scale flood forecasting

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Contributed by Ayan Fleischmann and Fernando Fan, members of the LSH Research Group Guest Columnist Team River hydrodynamics and hydrographs Satisfactory flood predictions require satisfactory model representativeness of river transport processes. In the past years, the Large Scale Hydrology (LSH) Research Group has carried out many studies regarding the improvement of river hydrodynamics representation in large scale hydrological models (see the list of references at the end of this post) through the implementation of Saint-Venant or Local Inertial flow routing…

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