At the seventeenth session of the WMO Commission for Climatology (CCl-17, 2018), it was decided that the group activities of ETCCDI would discontinue. The CCl Expert Team on Sector-specific Climate Indices (ET-SCI) would be responsible for operational aspects of enhancing software tool for sector-specific climate indices.
The WCRP Grand Challenge on Weather and Climate Extremes has integrated much of the research aspects of ETCCDI, global dataset development and detection and attribution. Particular emphasis is being made to ensure contributions to the development of extremes-related climate services.
Contribution to IPCC
The ETCCDI has provided direct contribution to the Assessment Reports (ARs) of the Intergovernmental Panel on Climate Change (IPCC). For the Fifth AR (AR5), several members of ETCCDI contributed as Coordinating Lead Authors, Lead Authors and Review Editors for various chapters. The ETCCDI Climate Change Indices are widely used to define and describe climate extremes based on broadly available data over both space and time.
- ETCCDI Work Plan Review Meeting (Paris, France, 6-8 July 2015)
- Fourth Session of the Expert Team on Climate Change Detection and Indices (Victoria, Canada, 23-25 February 2011)
- WCRP-ICTP 2014 Summer school on Attribution and Prediction of Extreme Events (Trieste, Italy, 21 July to 1 August 2014): The First WCRP-ICTP Summer School on Attribution and Prediction of Extreme Events, co-organized by CLIVAR, was a success. The 35 participants, out of 236 applications from several countries, enjoyed two weeks of interactions with lecturers from leading research institutes around the world.
The general goals of ETCCDI workshops include:
- derive indices from daily data, especially measures of changes in extremes;
- fill in blank data areas in "global" analysis of climate indices;
- increase confidence in local analyses by placing these analyses in a larger, regional context that includes results from neighbouring stations and countries;
- increase regional research synergies by sharing insights and improve analyses between neighbouring countries; and
- foster greater appreciation for data and data archeology.