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个人简介
Francisco J. Doblas-Reyes is research professor of the Institució Catalana de Recerca i Estudis Avançats (ICREA), themost prestigious Catalan institution employingsenior scientistsin all research fields. He develops his researchactivity as director of the Earth Sciences Department of the Barcelona Supercomputing CentersinceNovember 2014. He took up this positionafter leading the Climate Forecasting Unit of the Institut Català de Ciències del Clima (IC3)from 2010 to 2015, also in Barcelona.Prof Doblas-Reyes has a long research experience in the understanding, simulationand prediction ofclimate variability and changeand started working on climate services research ten years ago. He has participated and coordinateda number of international research projects and initiatives related to his research interests. He is the author of more than 100 peer-review journal articlesand has a long record of obtaining competitive computing and financial resources to undertakethis research. He is currently co-chair of the World Climate Research Programme’s Modelling Advisory Counciland a member of a number of other international panels.He has been a lead author of the most recent assessment report of the Intergovernmental Panel on Climate Change and, since then, been heavily involved in the design of both technical and scientific aspects of the Sixth Coupled Model Intercomparison Project, which should be the modelling basis for the next assessment report.
Research interests
Global climate is highly variable, which implies that there is much more to understand than just climate change. Climate prediction aims at predicting the variations of climate at different time scales, ranging from one month to several years beyond the start of the forecast. I use an Earth system model based on differential equations to explore the limits of the forecast quality over different parts of the globe, in particular over Africa, South America, the Arctic and Southern Europe. I develop this model to explore the advantages of increasing its resolution to better reproduce the physical processes at the origin of climate variability. I also use statistical techniques to adapt the resulting climate information to specific user needs. Improving the application of this climate information to different socio-economic sectors, with a special focus on energy and disaster risk management, is one of my main targets to try to make a change in both society and the economy.
Research interests
Global climate is highly variable, which implies that there is much more to understand than just climate change. Climate prediction aims at predicting the variations of climate at different time scales, ranging from one month to several years beyond the start of the forecast. I use an Earth system model based on differential equations to explore the limits of the forecast quality over different parts of the globe, in particular over Africa, South America, the Arctic and Southern Europe. I develop this model to explore the advantages of increasing its resolution to better reproduce the physical processes at the origin of climate variability. I also use statistical techniques to adapt the resulting climate information to specific user needs. Improving the application of this climate information to different socio-economic sectors, with a special focus on energy and disaster risk management, is one of my main targets to try to make a change in both society and the economy.
研究兴趣
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Katherine Grayson, Aleks Lacima-Nadolnik, Francesc Roura Adserias,Ehsan Sharifi, Stephan Thober,Francisco Doblas-Reyes
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Elsa Mohino,Paul-Arthur Monerie,Juliette Mignot,Moussa Diakhaté,Markus Donat, Christopher David Roberts,Francisco Doblas-Reyes
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