Seamless forecasting of extreme events on a global scalePappenberger, F., Wetterhall, F., Dutra, E., Di Giuseppe, F., Bogner, K., Alfieri, L. and Cloke, H. ORCID: https://orcid.org/0000-0002-1472-868X (2013) Seamless forecasting of extreme events on a global scale. In: Climate and Land Surface Changes in Hydrology, H01, IAHS-IAPSO-IASPEI Assembly, Jul 2013, Gothenburg, Sweden,.
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. Abstract/SummaryEarly warning systems of extreme events, such as floods, droughts, strong winds and wild fires as well as vector-borne diseases, at the global scale, are essential due to the combined threat of increased population settlement in vulnerable areas and potential increase in the intensity of extreme weather due to climate change. The European Centre for Medium-Range Weather Forecasts (ECMWF) has in the last year developed prototype early warning systems for floods, droughts, extreme winds, wild forest fires and malaria transmission. This paper assesses the performance of these systems. By providing a comprehensive skill assessment both on a global level and in selected regions, we aim to assess their suitability for eventual integration into decision-support frameworks.
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