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Guidelines for Use of Climate Scenarios Developed from Statistical Downscaling Methods RL Wilby1,2, SP Charles3, E Zorita4, B Timbal5, P Whetton6, LO Mearns7
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Document Date: 2011-05-16 06:16:44

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City

GKSS / Water / /

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Crane / /

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Germany / Romania / United States / Australia / United Kingdom / New Zealand / /

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Natural Disaster / Environmental Issue / /

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King’s College / /

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multi-site / neural network / satisfactory solution / climate applications / climate change applications / weather forecasting applications / neural networks / artificial neural networks / extreme convective systems / urban drainage systems / /

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Animas River / Iberian Peninsula / Ruhr valley / /

Organization

Federal Government / National Center for Atmospheric Research / Bureau of Meteorology / Environment Agency of England and Wales / European Union / King’s College London / /

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Jose Marengo / Linda Mearns / Penny Whetton / John Mitchell / Eduardo Zorito / Steven Charles / Van den Dool / Rob Wilby / Elaine Barrow / Tim Carter / Bruce Hewitson / /

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representative / /

ProvinceOrState

South Dakota / Nebraska / Colorado / /

PublishedMedium

Atmospheric Research / /

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Katz / /

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southwest Europe / Iberian Peninsula / eastern Nebraska / /

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radiation / neural network / simulation / /

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http /

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