Dear colleague,
Climate Risk Analysis invites you to its
53rd Online
Course in Climate Time Series Analysis.
The main points are set out below and full
details can be found on the registration page.
It would be great
if this course was of interest to you or your students.
Thank you for circulating this message and sorry if you are
receiving it more than once.
Best wishes
Manfred
Dr. Manfred Mudelsee, CEO
P.s.: Please let
me know in case I should remove your address from the mailing
list.
=======================================================================
*Course*
53rd Online Course in Climate Time Series Analysis, 23 to 27
June 2025 by Manfred Mudelsee
*Deadline for registration*
11 June 2025
*Twenty participants*
First come, first serve
*Course book, e-book version*
Mudelsee M (2014) Climate Time Series Analysis: Classical
Statistical and Bootstrap Methods. Second edition. Springer, 454
pp. https://www.manfredmudelsee.com/book/index.htm
*Registration fee net price, no
VAT*
Without e-book: 1000 EUR
With e-book: 1100 EUR
*Registration website*
https://www.climate-risk-analysis.com/courses/time-series/53rd-Online-Course-in-Climate-Time-Series-Analysis.html
*Registration form*
https://www.climate-risk-analysis.com/courses/time-series/53rd-Course-Registration-Form.pdf
*Flyer*
https://www.climate-risk-analysis.com/courses/time-series/53rd-Course-Flyer.pdf
*Summary*
This Online Course in Climate Time Series Analysis is
specifically tailored to the needs of PhD students and postdocs,
who want to learn about an important combination of disciplines
(climate change and time series analysis), but who have not had
much exposure to in-depth statistical teaching. It will also
attract professional researchers who wish to update their
knowledge or learn new statistical techniques. We expect
participants to come from a background in climatology, ecology,
econometrics, environmental sciences, geosciences, hydrology,
meteorology, chemistry, physics or other sustainability
sciences.
We aim to be accessible to students at the beginning of their
careers. We achieve this through an intensive online,
chat-supported format combined with a repetitive, caring
approach.
What makes it different from other online courses? First,
the course provides videos that have been carefully designed,
recorded and edited. You can watch the videos over and over
again, pausing as necessary. You receive the course slides and
can study them again. Second, daily chat sessions on a video
platform throughout the course allow you to prepare questions in
advance and get comprehensive answers. Third, proprietary
software designed specifically to get the most out of "dirty"
climate time series data will add to your arsenal of analytical
tools. Fourth, the individual feedback period of three months
after the course (via email and possibly an online meeting)
preserves the interactive mode of shared data analysis, allowing
you to go deeper into real applications — perhaps on your own
data!
--
Dr. Manfred Mudelsee
Chief Executive Officer
Climate Risk Analysis
Kreuzstrasse 27
Heckenbeck
37581 Bad Gandersheim
Germany
Telephone: +49 5563 9998140
Email: mude...@climate-risk-analysis.com
URL (company): https://www.climate-risk-analysis.com
URL (academic): https://www.manfredmudelsee.com
==================================================================================================================
53rd Online Course in Climate Time Series Analysis, 23 to 27 June 2025
https://www.climate-risk-analysis.com/courses/time-series/53rd-Online-Course-in-Climate-Time-Series-Analysis.html
==================================================================================================================
Mudelsee 2020: Statistical Analysis of Climate Extremes, Cambridge University Press
https://www.manfredmudelsee.com/textbook/
Mudelsee 2014: Climate Time Series Analysis: Classical Statistical and Bootstrap Methods, second edition, Springer
https://www.manfredmudelsee.com/book/
==================================================================================================================
LinkedIn: https://de.linkedin.com/in/mudelsee