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Empirical methods in short-term climate prediction
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ISBN: 0191917346 1280758325 0191513954 1429470496 9780191513954 9781429470490 9786610758326 6610758328 0199202788 9780199202782 9781280758324 Year: 2007 Publisher: Oxford Oxford University Press

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Abstract

The author describes the methods underlying short-term climate prediction at time scales of two weeks to a year. With an emphasis on the empirical approach, this text covers empirical wave propagation, teleconnections, empirical orthogonal functions, and constructed analogue.


Book
Extreme weather
Author:
ISBN: 1789236134 1789236126 1838816569 Year: 2018 Publisher: IntechOpen

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Abstract

The term extreme weather normally conjures up thoughts of massive storms or heat waves or overtly cold temperatures. These are all examples of what we might consider as weather events that occur out of the ordinary or what is regarded as the normal pattern of calm, heat, cold, dry, or wet conditions for one season of the year or another. The point is that if we consider an oscillation of data points in a weather pattern and plot a mean through it, extreme weather can be observed as a perturbation in a distribution of climatic events over time. These events may be short-lived, such as a wind gust occurrence, or of longer duration, such as heavy rain leading to flooding. Importantly, once initiated, a perturbation event has an associated consequence, which usually requires human intervention to rectify the event’s consequences.


Book
Seasonal climate : forecasting and managing risk
Authors: ---
ISBN: 1281205583 9786611205584 1402069928 1402069901 140206991X Year: 2008 Volume: 82 Publisher: Dordrecht : Springer,

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Originally formed around a set of lectures presented at a NATO Advanced Study Institute (ASI), this book has grown in scope and in aspiration to become organised and presented rather more as a textbook than as a standard “collection of proceedings”. The lack of a unified reference textbook covering both the science of seasonal to interannual predictions and real-world uses of the forecasts was the main driver for the effort placed into writing an amalgamated introductory book, each chapter of which has been thoroughly peer reviewed. Throughout, our objective has been to present a book accessible to people from diverse disciplines, both scientific and social, interested in this intriguing and fast emerging area. The fascination of seasonal climate forecasting, for which El Niño forecasting provides the prime basis, derives from its multi-faceted character. Not only does it pose exciting new scientific challenges for the climate community, but it is linked naturally to a great variety of key practical concerns, from security related issues, such as water resource management, food security, and disaster prediction and prevention, to health planning, agriculture management, energy supply, and tourism, to name but a few. Seasonal to interannual climate forecasts are indeed becoming a most important element in certain policy/decision making systems, not least within the contexts of sustainable development and of climate change adaptation.


Book
Management of weather and climate risk in the energy industry
Authors: --- ---
ISBN: 9048136911 9786613513090 904813692X 1280011726 9048136903 Year: 2010 Publisher: Dordrecht, The Netherlands : Springer,

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Abstract

Meteorological and climate data are indeed essential both in day-to-day energy management and for the definition of production and distribution infrastructures. For instance, the supply of electricity to users can be disturbed by extreme meteorological events such as thunderstorms with unusually strong winds, severe icing, severe cold spells, sea level elevation associated with storm surges, floods … To be protected against such events, it is not sufficient to act after they have taken place. It is necessary to identify their potential impacts precisely and assess the probability of their occurrence. This book shows that this can only be done through an enhanced dialogue between the energy community and the climate and meteorology community. This implies an in-depth dialogue between actors to define precisely what kind of data is needed and how it should be used. Météo-France has been in long-term cooperation with the energy sector, including the fields of electricity production and distribution. Drawing on this experience, it should be noted in this respect the importance of lo- term partnership between actors as exemplified here by the message of EDF.

Keywords

Climatic changes. --- Energy industries -- Decision making. --- Energy industries -- Environmental aspects. --- Energy industries. --- Long-range weather forecasting. --- Energy industries --- Decision making. --- Changes, Climatic --- Climate change --- Climate changes --- Climate variations --- Climatic change --- Climatic changes --- Climatic fluctuations --- Climatic variations --- Global climate changes --- Global climatic changes --- Extended-range weather forecasting --- Long-range forecasting --- Medium-range weather forecasting --- Seasonal climate forecasting --- Seasonal prediction (Meteorology) --- Environmental aspects --- Earth sciences. --- Renewable energy resources. --- Energy policy. --- Energy and state. --- Climate change. --- Atmospheric sciences. --- Renewable energy sources. --- Alternate energy sources. --- Green energy industries. --- Earth Sciences. --- Atmospheric Sciences. --- Climate Change. --- Energy Economics. --- Climate Change Management and Policy. --- Renewable and Green Energy. --- Energy Policy, Economics and Management. --- Climatology --- Climate change mitigation --- Teleconnections (Climatology) --- Industries --- Power resources --- Weather forecasting --- Changes in climate --- Climate change science --- Alternate energy sources --- Alternative energy sources --- Energy sources, Renewable --- Sustainable energy sources --- Renewable natural resources --- Agriculture and energy --- Energy and state --- State and energy --- Industrial policy --- Energy conservation --- Atmospheric sciences --- Earth sciences --- Atmosphere --- Government policy --- Long-range weather forecasting --- Decision making

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