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By Rebecca Emerton, Water@Reading research group

When an El Niño is declared, or even forecast, we think back to memorable past El Niños (such as 1997/98), and begin to ask whether we will see the same impacts. Will California receive a lot of rainfall? Will we see droughts in tropical Asia and Australia? Will Peru experience the same devastating floods as in 1997/98, and 1982/83?

El Niño and La Niña, which see changes in the ocean temperatures in the tropical Pacific, are well known to affect weather, and indeed river flow and flooding, around the globe. But how well can we estimate the potential impacts of El Niño and La Niña, and how likely flooding is to occur?

This question is what some of us in the Water@Reading research group at the University of Reading have been looking to answer in our recent publication in Nature Communications.

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By Dr Andrew Charlton-Perez, Department of Meteorology, University of Reading

Former BBC weather forecaster Bill Giles’ criticism of weather forecasts raises questions about how weather is communicated generally.

Mr Giles has hit out at forecasters for regularly warning the public about the potential consequences of imminent severe weather, arguing they are ‘behaving like nannies’ and could cause the public to become ‘immune’ to the advice.

Rain in Reading – watch out for that puddle!

He added the practice of naming storms had become too frequent, and that forecasters should only advise people about potential dangers for ‘exceptionally severe weather’, which occurs once every few years.

But how much weather information is the right amount for the public? How much do they understand? Could an appreciation of the uncertainty of forecasts actually improve our faith in them?

Research at the University of Reading has shown that not only is the average person able to process more complex weather forecast information, they are likely to make better decisions as a result of the additional information.

Scientists at Reading have therefore begun looking at whether the way weather predictions are presented to the general public can be improved.

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