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CORDEX A Coordinated Regional Downscaling Experiment A Coordinated Regional Downscaling Experiment Colin Jones & Filippo Giorgi Task Force : Ghassem Asrar,

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Presentation on theme: "CORDEX A Coordinated Regional Downscaling Experiment A Coordinated Regional Downscaling Experiment Colin Jones & Filippo Giorgi Task Force : Ghassem Asrar,"— Presentation transcript:

1 CORDEX A Coordinated Regional Downscaling Experiment A Coordinated Regional Downscaling Experiment Colin Jones & Filippo Giorgi Task Force : Ghassem Asrar, Jens Christensen,Greg Flato, Clare Gooddess, Bill Gutowski, Bruce Hewitson, Richard Jones, Won-Tao Kwan, Krishna Kumar, Claudio Menendez, James Murphy, Serge Planton Some (sparse) details at: http://wcrp.ipsl.jussieu.fr/SF_RCMTerms.html

2 General Aims and Plans for CORDEX Provide a set of Regional Climate Scenarios covering the period 1950-2100, for the majority of the populated land-regions of the globe. Make these data sets readily available and useable to the impact and adaptation communities. Provide a generalized framework for testing and applying Regional Climate Models and Downscaling techniques for both the recent past and future scenarios. Foster coordination between Regional Downscaling efforts around the world and encourage participation in the downscaling process of local scientists/organizations

3 Uncertainty in regional climate projection Emission/ConcentrationScenarios AOGCM Configuration (Multiple AOGCMs) Internal variability (Multiple realizations) RCD Configuration (Multiple models) RCD approach (Multiple RCD methods) Region Sources of uncertainty in RCD-based Regional climate projections

4 More specific aims and plans for CORDEX (resulting from a discussion meeting in Toulouse Feb 2009) Develop a matrix of RCD simulations that employ: 1.Multiple GCMs as boundary conditions (BCs) 2. Multiple realizations of a given (single) GCM as BCs 3. Multiple RCMs driven by a given GCM over a given domain 4. More than 1 representative greenhouse emission scenario 5. With common RCM domains and resolution 6. With common RCM output variables and frequency 7. In a common format 8. Store the results online for subsequent access and use

5 What has been decided/suggested (results from the Toulouse Feb 2009 meeting) 1.A request to GCM groups to archive 6-hourly 3D model level fields was included in the CMIP5 output protocol. The request was for at least 1 member of an RCP4.5 integration and if possible an RCP8.5 run also. It is not yet clear how many GCM groups will provide this data but at least 5-6 GCMs seems quite likely. 2.The standard RCM resolution is 50km (groups are encouraged to test higher resolutions, but please do the standard) encouraged to test higher resolutions, but please do the standard)

6 3.Groups are encouraged to run as many of the RCM domains as possible using the ERA-interim data as domains as possible using the ERA-interim data as boundary conditions (1989-2008) for model evaluation boundary conditions (1989-2008) for model evaluation 4.An initial focus for future climate scenarios will be Africa with an aim to provide something for IPCC AR5 Africa with an aim to provide something for IPCC AR5 5.Emission scenarios: (a) RCP4.5 (b) RCP8.5 (c) RCP2.5 6.Either full transient runs 1950-2100 or time slices for in order of preference: for in order of preference: (a) 1980-2010 (a) 1980-2010 (b) 2040-2070 (b) 2040-2070 (c) 2010-2040 (c) 2010-2040 (d) 2070-2100 (d) 2070-2100 (e) 1950-1980 (e) 1950-1980

7 Issues not yet fully resolved 1.Standard output data set (variables, frequency etc) 2.Format of output (most likely follow CMIP5 protocol) 3.Location of ‘online’ RCM storage + mechanism for data access/distribution.

8 CORDEX domains NARCCAP CLARIS ENSEMBLES RCMIP

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10 CORDEX Phase I experiment design Model Evaluation Framework Climate Projection Framework ERA-Interim BC 1989-2007 Multiple AOGCMs RCP4.5, RCP8.5 1951-2100 1981-2010, 2041-2070, 2011-2040 Multiple regions (Initial focus on Africa) 50 km grid spacing Regional Analysis Regional Databanks

11 Some Conclusions The RCD community is beginning to get organized Regional Models can provide useful information on top of GCM data A coordinated, ensemble approach seems beneficial Hopefully we will succeed in getting a range of RCM scenarios Driven by a number of GCMs and emission scenarios for a number of domains around the world. Important to make this data available to a wide audience


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