1. Home
  2. Events
Training event

56th Online Course in Climate Time Series Analysis

Organizer(s) Climate Risk Analysis
Propose an edit Upload your content
Format
Online
Event language(s)
  • English
Date
-

About

This Online Course in Climate Time Series Analysis is tailored for postdocs and advanced PhD students working at the interface of climate science and time series analysis. No prior formal training in statistics is required; familiarity with basic mathematics is assumed. The course also appeals to established researchers wishing to update their knowledge or acquire new statistical techniques. Participants typically come from climatology, ecology, econometrics, environmental sciences, geosciences, hydrology, meteorology, chemistry or physics, as well as related sustainability fields. Accessible and well-supported: intensive online delivery with live-chat support and guided exercises. Key concepts are revisited across modules to consolidate understanding.

What makes it different from other online courses? First, you have streaming access to carefully designed, recorded and edited lecture videos throughout the course and until the end of the two-month feedback period. You can pause and rewatch as needed, and you retain the slide deck for study. Second, daily live-chat sessions via a video platform during the course enable you to prepare questions and obtain comprehensive answers. Third, original analysis software — built to extract the most from noisy climate time series and documented in peer-reviewed publications — expands your analytical toolkit. Fourth, a two-month feedback period after the course (via email and, where appropriate, an online meeting) preserves the interactive mode of shared data analysis, allowing you to pursue real applications, including on your own data. For selected participants, follow-up collaboration and joint funding applications (e.g. postdoctoral fellowships) may be explored.

Deadline for registration

1 August 2026

Capacity

Limited to 10 participants (early registration recommended)

Course book, e-book version

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

Registration fee

Regular: 1200 EUR + VAT where applicable

A limited number of merit-based ACRE Scholarships (EUR 400 reduction; + VAT where applicable)

Scholarships

Merit-based ACRE Scholarships are provided via Advanced Climate Risk Education (ACRE), a non-profit initiative supporting analytical capacity in climate risk and sustainability, including for participants from low- and middle-income countries.

Attachments

Download a backup copy hosted by this site PDF, 2.5 MB English

Last checked: 15 April 2026

Explore further

Please note: Content is displayed as last posted by a PreventionWeb community member or editor. The views expressed therein are not necessarily those of UNDRR, PreventionWeb, or its sponsors. See our terms of use