Progress in the International CLIVAR C20C+ Detection and Attribution Project — Australian Meteorological and Oceanographic Society
  1. Schedule
  2. 18. CMIP the 6th generation: new simulations and new insights? - Dedicated to Penny Whetton
  3. Progress in the International CLIVAR C20C+ Detection and Attribution Project

Progress in the International CLIVAR C20C+ Detection and Attribution Project (#23)

Dáithí Stone 1 2 3 , Nikos Christidis 4 , Chris Folland 4 5 6 7 , Sarah Perkins Kirkpatrick 8 , Judith Perlwitz 9 , Hideo Shiogama 10 , Michael Wehner 2 , Piotr Wolski 11 , Shreyas Cholia 2 , Harinarayan Krishnan 2 , Donald Murray 9 , Oliver Angélil 2 8 , Urs Beyerle 12 , Andrew Ciavarella 4 , Andrea Dittus 13 , Xiao-Wei Quan 9 , Mark Tadross 11
  1. NIWA, Wellington, WELLINGTON, New Zealand
  2. Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America
  3. Global Climate Adaptation Partnership, Oxford, United Kingdom
  4. Met Office Hadley Centre, Exeter, United Kingdom
  5. University of East Anglia, Norwich, United Kingdom
  6. University of Gothenburg, Gothenburg, Sweden
  7. University of Southern Queensland, Toowoomba, Queensland, Australia
  8. University of New South Wales, Sydney, New South Wales, Australia
  9. NOAA Earth System Research Laboratory, Boulder, CO, United States of America
  10. National Institute for Environmental Studies, Tsukuba, Japan
  11. University of Cape Town, Rondebosch, Western Cape, South Africa
  12. ETH Zürich, Zurich, Switzerland
  13. University of Melbourne, Melbourne, Victoria, Australia

Assessment of changes in extreme weather under a changing climate is hindered by the paucity of data relative to what is required to characterise rare events. Observationally-based products are fundamentally limited by the length of record, while publicly available coupled atmosphere-ocean climate model products are both limited in sample size and have important biases arising from deficiencies in the coupling between the atmosphere and ocean. The International CLIVAR Climate of the 20th Century Plus Detection and Attribution (C20C+ D&A) Project aims to fill this gap for extreme weather over terrestrial areas by producing large ensembles of simulations with multiple atmospheric climate models, under recent observed boundary conditions and under various estimates of boundary conditions that might have been experienced in the absence of human interference.

This presentation describes the experiment design, reports on the current status of climate simulation production, and highlights some recent studies that have taken advantage of unique characteristics of the data product. As the project moves into its next phase, the authors invite discussions on future product requirements.

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