This Online Course in Climate Time Series Analysis is specifically tailored to the needs of PhD students and postdocs, who wish to learn about an important combination of disciplines (climate change and time series analysis), but have had so far not much exposure to in-depth statistical teaching. It will also attract professional researchers, who wish to update their knowledge or to learn new statistical techniques. We assume that participants come from somewhere in the range of climatology, ecology, econometrics, environmental sciences, geosciences, hydrology, meteorology, or physics.
This online format has emerged in response partly to the Covid-19 situation (which started in 2020), but also to the general upward trend in need of electronic high-level quality education.
What distinguishes this from other online courses? First, the course provides videos that have been designed, recorded and edited with care. You can go repeatedly through the videos and make breaks as you need. You also receive and can study again the delivered course slides. Second, a daily chat meeting via a video platform over the full course duration allows you to prepare questions beforehand and get extensive response. Third, the individual feedback period of two months post-course (via email and, possibly, online meeting) preserves the interactive mode of joint data analysis, it allows to go in depth through real applications (perhaps on your own data), and it should keep the "open session" discursive atmosphere, which has been praised by the many offline participants I had here in the past.
We just assume that do not run away when you see a mathematical formula: all the basics, and the advanced methods as well, you will learn here. 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 quantify the various sources of uncertainty in data, climate models and statistical estimation.
Climate case studies serve to illustrate the usefulness of the tools: how to make the most of your data by means of statisticsand how to publish it in a thesis or a research paper. Examples include:
The course instructor, Dr. Manfred Mudelsee, trained in physics, geology and statistics, has a long-standing expertise in teaching statistical methods to non-specialists.
What you get. The course consists of lectures and extensive hands-on training in computer tutorials. Access to the course videos is provided through a streaming host. Data, software, the lecture as PDF, the statistical tools and (optionally) an e-book version of the textbook (Mudelsee, 2014, Climate Time Series Analysis, 2nd edition, Springer, 454 pp) are included in the fee. You get the link to the course slides already a few days before the start to optimally prepare yourself. During the course days, you can participate daily in an online chat on the material delivered on that day. After the course, you are offered an individual two-month feedback period where you get the exclusive chance to shown own data, tell me about the questions (the data are asking), receive support on the software and general statistical advice. We communicate by email during this period and, if needed, via a one-to-one online meeting.
Participants are strongly encouraged to bring their own data for discussion and analysis during the course. The number of participants is limited to twenty to allow in-depth individual consultation with the course holder and textbook author, Manfred Mudelsee.
You want to have a free look? Please try Module 01 Introduction (Lecture), which is in the public domain.
Past participants: country listAustralia, Austria, Bangladesh, Belgium, Brazil, Canada, Chile, Croatia, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, India, Indonesia, Ireland, Italy, Latvia, Nepal, Netherlands, Nigeria, Norway, Poland, Portugal, South Korea, Spain, Sweden, Switzerland, United Kindom, United States of America, Uruguay
Past participants: references
Learning from Dr. Mudelsee, an expert in his field, was of tremendous help in gaining expertise in quantitative time series analysis. The lectures provide an excellent overview on fundamental concepts of time series analysis and together with the tutorial exercises I acquired the theoretical basis for understanding and interpreting the results for my first publication. The provided software was not only useful for my project but became popular within my section. Further I was charmed by the nice venue, the wonderful food and the picturesque village of Heckenbeck.
I very much enjoyed the course, both the content and the format. It is a very intense course, with a lot of relevant information. I found the tutorials very helpful. I want to thank you for being such a good host, for taking the time to patiently explain even basic stuff, for providing a friendly and open atmosphere and, of course, for all the delicious food, snacks and drinks.
Manfred's course armed us with the theory and tools behind some of the most fundamental and useful climate data analysis techniques. It is also a respite from the fast-paced lifestyle of wherever one is coming from; Heckenbeck is picturesque throughout the seasons, making for a relaxing environment to learn the tools of the trade.
The course of Climate Time Series Analysis is of high potential for climate studies and since I am dealing with meteorological data, I think that Dr. Mudelsee's methods and tools are highly beneficial to analyse trends, climate extremes, correlation and sensitivity. As an MSc student, I was a bit afraid to attend this course but Dr. Mudelsee has very patiently and calmly explained all tools in detail, the methodologies and the formulations behind everything. This has made the course even more exciting and understandable.
I attended Dr. Mudelsee's Advanced Time Series Analysis course in January 2017 as a PhD student. The restricted number of participants allowed Dr. Mudelsee to tailor the course based on the individual needs of each participant, as well as creating an open atmosphere for discussion. Some of the methods taught in the course can be hard to learn out about elsewhere, unless you know precisely what you are looking for. Furthermore, the course deals with statistical pitfalls commonly encountered in the climate sciences, that you will want to know about before you submit your work for publication. I strongly recommend the Advanced Time Series Analysis course at CRA.
As a paleoclimate researcher, I know that it is always necessary to connect my own sets of data with time. All of these datasets will only have meaningful interpretations when linked to records associated with time-dependent series and processes. I have this thinking when I started looking for a course that can help me with my data analysis. The climate time series course analysis offered by Manfred Mudelsee is just the perfect course to take for this purpose. I also like it that the last sessions were allotted for presenting our own data in class, get some feedbacks, and analysing them on the spot with our own software choice.
For me the course was very useful. It has broadened my knowledge in the statistical methods that I used so far, and opened new avenues for my future research. Dr. Mudelsee nicely points to the important questions and to the ways of inference from statistical methods in practical problems. Additionally, it is worth to mention delicious organic homemade meals in Heckenbeck!
I therefore think that attending such a course is of high interest to paleoclimate researchers, especially those who are looking for climate mechanisms, feedbacks and lead and lags of different climatic components. However, I would advise to have beforehand all the statistical and mathematical concepts readily 'charged' and fresh in your brain. Therefore one doesn't loose too much time trying to remember what's variance, how is the Pearson's coefficient calculated, what t-Student stands for or even what characterizes a Gaussian curve. Finally, it was a privilege to work and receive advice from Dr. Manfred Mudelsee, to focus on my and participate on other colleagues problem solving and always in a very comfortable, familiar and cozy environment.
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A very warm welcome!