C20C+ Detection and Attribution Project    
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This web page provides information on the design, status, and output of the International CLIVAR C20C+ Detection and Attribution Project. This is an international project aiming to produce a large pool of output from climate models and impact models for use in improving our understanding of extreme weather in the context of past and current climate change. It is a subproject of the World Climate Research Programme's (WCRP) Climate Variability Programme's (CLIVAR) Climate of the 20th Century Plus Project (C20C+).

• Summary •
Current climate model-based products are not optimised for research on extreme weather in the context of long-term climate change. The C20C+ Detection and Attribution Project is intended to fill this gap, by providing large samples of simulation data from climate models run at relatively high spatial resolution.
Models are run under two families of scenarios:
All-Hist: under the time-varying boundary conditions observed during the past few decades
Nat-Hist: same as All-Hist but with the anthropogenic contribution to the boundary conditions removed

For contributors
This project follows specific protocols for its experimental design. The Experiment page provides documentation on requested model setup, simulation characteristics, and output variables. It also provides links to surface (ocean temperatures and sea ice concentrations) boundary conditions for the Nat-Hist experiment family.
For researchers
Output from the simulations is available from the data download page. No registration is required. Details on available models, simulations, and climate variables are provided in the data download page.

News

Notices of new data uploads and errata are posted on the data download page.
  • 2017/09/25: The C20C+ D&A web site and download portal will be offline during 6-10 October due to a major maintenance activity at NERSC.
  • 2016/10/12: LBNL will be hosting the 2nd C20C+ D&A Hackathon, 5-9 December 2016.

Maintained by: dastone@runbox.gov
Last updated: 4 October 2017


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