Climate Data Analytics

About this course

Explore climate datasets with quality checks, anomalies, extremes, trends and ensemble analysis.

This practitioner course is part of the Climate, Environment & Natural Resources school. Work through the curriculum below in a self-paced / instructor-led format, with an estimated study time of 16 h.

Course curriculum

• Module 1 — Climate Data Sources
• Module 2 — Data Formats: NetCDF, CF Conventions and xarray
• Module 3 — Quality Control and Homogenisation
• Module 4 — Climatologies, Anomalies and Indices
• Module 5 — Extremes and Return Periods
• Module 6 — Trends and their Significance
• Module 7 — Climate Model Output and Ensembles
• Module 8 — Bias Correction and Downscaling

Applied learning

• Case Study — The Design Standard for the 2050s
• Lab 1 — From a gridded file to heat indicators
• Lab 2 — Return levels of heavy rainfall for a second site
• Lab 3 — Bias-corrected projections for heat and drainage
• Capstone — A Climate Data Product for a Decision

Who this course is for

Government Professional; GIS / Remote Sensing Professional; Researcher

Prerequisites

NE-RS-101

Course details

• Course code: NE-ENV-201
• Level: Practitioner
• Estimated duration: 16 h
• Delivery: Self-Paced / Instructor-Led