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University of New South Wales (UNSW) and World Meteorological Organization (WMO)

Climpact

Climpact is an open-source software package and web-based tool for calculating standardized climate extreme indices from daily temperature and precipitation data. Developed under the World Meteorological Organization framework, it enables users to derive sector-relevant indicators (e.g. heatwaves, drought indices, precipitation extremes) from observational or model datasets to support climate impact and adaptation analyses.

Open tool

What you can do with it

Input

  • Upload daily temperature and precipitation data from weather stations or gridded datasets.
  • Select standard or sector-relevant climate-extreme indices.
  • Process observational, reanalysis or climate-model data.
  • Define the geographic resolution through the user-provided dataset and available computing resources.

Output

  • Standardised climate-extreme indices.
  • Maps, graphs and processed datasets.
  • Indicators for heatwaves, drought, precipitation extremes and cold extremes.
  • Sector-relevant climate indices derived from station or gridded data.

Use it to

  • Calculate consistent climate-extreme indices from user-provided data.
  • Analyse historical, present and projected climate extremes.
  • Support climate-impact and adaptation assessments.
  • Develop indicators relevant to agriculture, biodiversity, energy, forestry, health and water management.
  • Compare extreme-climate characteristics across datasets or locations.

Why is it relevant to climate adaptation

Allows users to turn their own daily temperature and precipitation data into internationally standardised climate-extreme indicators. This is especially valuable when local station data or tailored model outputs are available and users need results at a resolution not offered by fixed online portals. The tool is straightforward to operate, but interpreting the indices correctly requires climate or weather expertise and its current functionality for linking climate and sector data is limited.

Used in

  • Global calculation of climate-extreme indices under the World Meteorological Organization framework.
  • Analysis of station, point-based and gridded datasets at user-defined resolutions.
  • Climate-impact and adaptation studies using observational, reanalysis and climate-model information.
  • Sectoral indicator development for agriculture, biodiversity, business, disaster-risk reduction, energy, forestry, health and water management.
  • Open-source use by national authorities, researchers, consultants and transboundary networks.

Metadata

User Group
Transboundary networksNational authoritiesSubnational authorities
Geographic coverage
Global
Spatial resolution

Station/point-data, gridded data

Support of Adaptation Policy Cycle
Step 1: Preparing the Ground for Adaptation
Step 2: Assessing Climate Change Risks and Vulnerabilities
Adaptation sectors
AgricultureBiodiversityBusiness and industry
Climate hazards
Heavy precipitation / extreme rainfallHeatDrought
Type of outputs
Maps and graphsDatasets and indicators
Temporality of data
Historical/pastPresentForward-looking
Language
English
Accessibility and usability
Moderate
Data sources
Public datasets from external providersUser-provided input dataMixed sources
Tool validation use
Case-study validationExpert validation / reputable institutionUser testing / pilot testing

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Exclusion of liability
This translation is generated by eTranslation, a machine translation tool provided by the European Commission.