Weather sensitivity analysis and its applications in the water industry.
LOCATION
School of GeoSciences
The University of Edinburgh, Grant Institute
The Kings Buildings, West Mains Road
Edinburgh
EH9 3JW
UK
Case study on accuracy and bias correction of ECMWF forecasts in Ireland - Katie Chowienczyk, Met Office.
ABSTRACT | A weather intelligence model for water demand was developed and used to supply forecasts to several water companies during the summer of 2015. Historic weather data was used to generate probability distribution functions of annual demand. The model was later improved to make predictions during heatwaves and thunderstorms.
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Case study on accuracy and bias correction of ECMWF forecasts in Ireland - Jack McDonnell, Maynooth University.
ABSTRACT | ECMWF forecasts between 2007 and 2013 were assessed using observations from 25 synoptic stations in Ireland. The aim of the project was to include forecasts in a grass growth prediction model. The forecasts of temperature were good up to 10 days but climatology and persistence outperformed rainfall forecasts after 5 days.
Case study on accuracy and bias correction of ECMWF forecasts in Ireland - Katie Chowienczyk, Met Office.
ABSTRACT | A weather intelligence model for water demand was developed and used to supply forecasts to several water companies during the summer of 2015. Historic weather data was used to generate probability distribution functions of annual demand. The model was later improved to make predictions during heatwaves and thunderstorms.
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Case study on accuracy and bias correction of ECMWF forecasts in Ireland - Jack McDonnell, Maynooth University.
ABSTRACT | ECMWF forecasts between 2007 and 2013 were assessed using observations from 25 synoptic stations in Ireland. The aim of the project was to include forecasts in a grass growth prediction model. The forecasts of temperature were good up to 10 days but climatology and persistence outperformed rainfall forecasts after 5 days.