How do meteorologists forecast the weather and climate? Is there a way to predict the profit from a wind farm? These are some of the questions modern science addresses by using data assimilation. Many research institutes and companies (e.g. KNMI, Shell, US-NCAR or UK MetOffice) develop and employ data assimilation and the demand for trained personnel is constantly growing. The school will describe the theoretical foundation of data assimilation together with numerical tutorials, all the way to state-of-the-art methods, including modern machine learning approaches and their combination with data assimilation.
Data assimilation is the science of combining measurement data and computational models. It encompasses a large portfolio of methods at the crossroad between numerical analysis, linear algebra, statistics, dynamical systems and optimal control. Data assimilation is crucial in all circumstances where one wishes to make sense of a model against data and is therefore ubiquitous in science and in real life applications.
The summer school aims at covering the mathematical foundations of data assimilation and at describing the existing methods up to the advanced approaches currently being developed. In particular, the school will address variational and ensemble methods, nonlinear Bayesian techniques for high-dimensional systems and the modern hybrid approaches emerging from the cross-fertilization of data assimilation and machine learning. Continue reading →
Global change and rising pressure on the environment are having increasingly visible impacts on the sustainability of human activities. For example, heat waves seem to be more and more frequent. It is essential to be able to forecast the likely size and impact of these and other extreme events such as droughts and major windstorms if we are to adapt to them and attempt to mitigate their future effects. Continue reading →
The QRM Tutorial team offers a Summer School from August 21 to August 24 in Montreal as part of the thematic semester “Risk in Complex Systems”. It will take place in the room Beethoven at the CIRANO, 14th floor, 1130, … Continue reading →
Hazards inherent to complex interconnected systems can lead to disasters of epic proportions with untold environmental, economic and social consequences. The identification, quantification, prediction, control, and mitigation of risk factors is thus essential to ensure individual protection and system integrity while promoting sustainable development. Continue reading →
The Department of Mathematical Modelling, Statistics and Bioinformatics, Faculty of Bioscience Engineering, Ghent University, has seized the worldwide MPE initiative to illustrate the merits of clinging to a mathematical viewpoint within those domains of science that pursue deeper insights into … Continue reading →
The Swedish National Committee for Mathematics arranges a free of charge public symposium in Stockholm, November 9th, 2013. The talks, given in Swedish, have titles that can be translated to:”So do numerical models for weather- and climate-forecasts work” , “Even living … Continue reading →
This two-day short course introduces conceptual models of the Earth’s climate system. The first day is devoted to Energy Balance Models (EBMs): differential equations which express the physical law of energy conservation in mathematical terms. The second day is devoted … Continue reading →