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Description
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The C20C+ Detection and Attribution Project aims 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.
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Information
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The project web page is located here. The project is part of the International CLIVAR Project of the World Climate Research Programme.
Contact: dstone@lbl.gov
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Data
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Output from the simulations is available on the Earth System Grid Federation under project label "c20c". No registration is required. Most data can also currently be accessed via html.
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Description
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The Calibrated and Systematic Characterization, Attribution, and Detection of Extremes project has four research areas intended to advance our ability to identify and project climate extremes caused by manmade climate change:
- Characterization, detection, and attribution of observed extreme events
- Evaluation and improvement of climate models for simulating extreme weather events
- High performance computing to detect and predict extremes in warmer climates
- Statistical methods to quantify changes in extreme weather in light of uncertainty
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Information
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The project web page is located here.
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Data
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The CASCADE project contributes data to and manages the data portal for the C20C+ D&A Project on the Earth System Grid Federation under project label "c20c". No registration is required.
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Description
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The joint CCI/CLIVAR/JCOMM/GEWEX Expert Team on Climate Change Detection and Indices (ETCCDI) has a mandate to address the need for the objective measurement and characterization of climate variability and change by providing international coordination and helping organizing collaboration on climate change detection and indices relevant to climate change detection, and by encouraging the comparison of modeled data and observations. This includes development of indices of extreme weather.
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Information
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Information on ETCCDI activities is provided here here.
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Data
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Index definitions, data, and software are provided here.
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Description
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The Met Office Hadley Centre produces and maintains a range of gridded datasets of meteorological variables for use in climate monitoring and climate modelling.
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Information
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Information is provided on the web page.
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Data
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The web site provides access to various datasets for bona fide scientific research and personal usage only.
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Description
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The International Detection and Attribution Group (IDAG) is a group of specialists on climate change detection and attribution, who develop and disseminate methods and analyses for diagnosing the human influence on past and current climate.
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Information
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Some information on IDAG can be found here.
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Data
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The "Optimal Detection" software developed and applied by members of IDAG is available here (runs on IDL/GDL).
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Description
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The Interpreting Climate Conditions activity at NOAA's Earth System Research Laboratory seeks to provide an explanation of evolving climate conditions and to assess their predictability.
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Information
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Information on the research activity can be found here.
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Data and online analysis tools
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Data can be downloaded or analysed using an online interface trhough the FACTS portal.
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Description
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The Japanese Program for Risk Information on Climate Change produces climate change projections, investigate carbon cycles, and assess climate change impacts. Event attribution experiments are performed using the MIROC5 model.
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Information
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Information about the project is available here.
The description papers of the MIROC5 event attribution experiments are:
- Shiogama, H., Watanabe, M., Imada, Y., Mori, M., Ishii, M. and Kimoto, M. (2013), An event attribution of the 2010 drought in the South Amazon region using the MIROC5 model. Atmosph. Sci. Lett., 14: 170-175. doi:10.1002/asl2.435. (link)
- Shiogama, H., M. Watanabe, Y. Imada, M. Mori, Y. Kamae, M. Ishii, and M. Kimoto, 2014: Attribution of the June-July 2013 heat wave in the southwestern United States. SOLA, 10, 122-126, doi:10.2151/sola.2014-025. (link)
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Data
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Some simulation output is available on the Earth System Grid Federation under project label "c20c". Please contact to Hideo Shiogama (hiogama.hideo@nies.go.jp) for further data.
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Description
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The weather@home project uses thousands of personal computers volunteered around the world to run regional climate models to answer the question: how does climate change affect our weather.
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Information
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The project web page is located here. The project is led by the University of Oxford's climateprediction.net.
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Description
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Running since 2010, the Weather Risk Attribution Forecast is the world's first real-time product to examine whether and how greenhouse gas emissions have contributed to our weather.
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Information
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The project web page is located here. The project is a collaboration between the University of Cape Town and Lawrence Berkeley National Laboratory.
Contact: dstone@lbl.gov
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Data
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Output from the simulations is available on the data portal of the C20C+ Detection and Attribution Project, on the Earth System Grid Federation under project label "c20c", also accessible via html. Publication of data to the portal is not yet in real-time.
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Description
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World Weather Attribution is a new international effort designed to sharpen and accelerate the scientific community's ability to analyze and communicate the possible influence of climate change on extreme-weather events such as storms, floods, heat waves and droughts.
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Information
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The project web page is located here. The project is a collaboration between Climate Central, the University of Oxford Environmental Change Institute, the Royal Netherlands Meteorological Institute, the University of Melbourne, and the Red Cross Red Crescent Climate Centre.
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