Training event

53rd Online Course in Climate Time Series Analysis

Organizer(s) Climate Risk Analysis
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Format
Online
Date
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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.

Deadline for registration: 11 June 2025

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!

Course book, e-book version

Mudelsee M (2014) Climate Time Series Analysis: Classical Statistical and Bootstrap Methods. Second edition. Springer, 454 pp.

Registration fee net price, no VAT

Without e-book: 1000 EUR

With e-book: 1100 EUR

Attachments

Document links last validated on: 16 April 2025

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