The course is part of the 50th Anniversary Conference of the International Association for Mathematical Geosciences. It is specifically tailored to the needs of PhD students, postdocs and professional researchers in climatology, ecology, environmental sciences, geosciences, meteorology or hydrology. A basic knowledge in calculus and statistics is required.
You get the required statistical tools and extensive hands-on training to become able to optimally analyse your data and answer the associated questions about the climate. You acquire the theoretical basis for understanding the tools and interpreting the results. You learn to determine the various sources of uncertainty in data, climate models and statistical estimation. A highlight of this course will be the provision of a new software for optimally estimating the heavy tails of a statistical distribution (risk analysis).
Climate case studies serve to illustrate the usefulness of the tools: how to make the most of your data by means of statistics — and how to publish it in a research paper.
The course consists of lectures and extensive hands-on training in computer tutorials. Data, software (including the commercial risk analysis software Caliza ™), the lecture as PDF, the statistical tools and a printed copy of the textbook are included.
Cost: 490 USD
Participans should bring laptop with Windows OS (Windows XP, Windows 7, Windows 10, etc.), Mac users should install a Windows emulator prior to the course. Own data for analysis during the course, individual discussions.
Early-bird registration deadline: 15 April 2018