Glossary#
- Adaptive Capacity#
- Binder#
Referring to mybinder.org, an open-source project in the Jupyter ecosystem that allows the creation of custom, interactive, and executable computing environments from GitHub repositories containing Jupyter notebooks. It enables users to convert Jupyter notebooks into shareable web applications that others can use without needing to install any software or dependencies locally.
- Climate Risk Management (CRM)#
- Conda environment#
A self-contained and isolated computational environment created and managed by conda, an open-source package and environment management system.
- Coordinated Regional Climate Downscaling Experiment (CORDEX)#
A WRCP framework to evaluate regional climate model performance. CORDEX data can be downloaded from the Copernicus Climate Data Store.
- Coupled Climate Model Intercomparison Project (CMIP)#
A WRCP project to better understand past, present and future changes in the climate based on climate modelling.
- Expert#
- Exposure#
- Hazard#
- Priority group#
- Python#
A programming language widely used for data analysis and visualization. See Python in our software resources.
- JupyterBook#
An open-source tool used for creating interactive, web-based books and documentation from Jupyter notebooks and markdown files. This website is generated as a JupyterBook.
- Jupyter notebook#
A document format in which combine code, narrative text, visualizations and other rich media can be combined. Jupyter notebooks allow for interactive execution of code and are particularly popular for exploratory data analysis and in education. See Jupyter in our software resources.
- Response#
- Risk#
- Risk Outcome#
- Representative Concentration Pathways (RCPs)#
Climate change scenarios for future greenhouse gas concentrations.
- Return period#
The return period of an event (e.g., a flood) is calculated using statistical frequency analysis. An event with a return period of 100 years (a ‘1–in–100-year’ event) has a 1% chance of occurring each year. This means that over a long period of, an event of that magnitude will, on average, occur once every 100 years. It does not mean a 100-year event will occur exactly once every 100 years. In fact, it is possible for an event of any return period to occur more than once in the same year, or to appear in consecutive years, or not to happen at all over a long period of time.
Global climate change scenarios of socioeconomic changes until the year 2100.
- Stakeholder#
- User#
- Vulnerability#