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Economic value of weather and climate forecasts
Authors: ---
Year: 1997 Publisher: Cambridge, UK New York Melbourne Cambridge University Press

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Economic value of weather and climate forecasts
Authors: ---
ISBN: 0521434203 0521435714 0511608276 0511882467 9780521434201 9780511608278 9780521435710 Year: 1997 Publisher: Cambridge Cambridge University Press

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Weather and climate extremes can significantly impact the economics of a region. This book examines how weather and climate forecasts can be used to mitigate the impact of the weather on the economy. Interdisciplinary in scope, it explores the meteorological, economic, psychological, and statistical aspects to weather prediction. The contributors encompass forecasts over a wide range of temporal scales, from weather over the next few hours to the climate months or seasons ahead, and address the impact of these forecasts on human behaviour. Economic Value of Weather and Climate Forecasts seeks to determine the economic benefits of existing weather forecasting systems and the incremental benefits of improving these systems, and will be an interesting and essential reference for economists, statisticians, and meteorologists.

Climate prediction and agriculture : advances and challenges
Authors: --- --- ---
ISBN: 1280864869 9786610864867 3540446508 3540446494 3642079466 9783540446491 Year: 2007 Publisher: Berlin ; New York : Springer Verlag,

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Improved adaptation of food production, particularly in areas where climate variability is large, holds the key to improving food security for human populations. Increasing climate knowledge and improved prediction capabilities facilitate the development of relevant climate information and prediction products for applications in agriculture to reduce the negative impacts due to climate variations and to enhance planning activities based on the developing capacity of climate science. This book, based on an International Workshop held in Geneva in 2005, reviews the advances made so far in seasonal climate predictions and their applications for management and decision-making in agriculture and identifies the challenges to be addressed in the next 5 to 10 years to further enhance operational applications of climate predictions in agriculture, especially in the developing countries.

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