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					A selection of references on downscaling and use of climate projections
Blankespoor, B., K. D. Pandey, and D. Wheeler. 2009. Forecasting Local Climate for Policy Analysis: A
    Pilot Project for Ethiopia. Policy research Working Paper (5004), The World Bank Environment
    Department and Development Research Group. (link )

Bronstert, A., V. Kolokotronis, D. Schwandt & H. Straub.2007. Comparison and evaluation of regional
    climate scenarios for hydrological impact analysis: General scheme and application example.
    International Journal of Climatology, 27, 1579-1594. (link )

Cash D. and J. Buizer. Knowledge-Action Systems for Seasonal to Interannual Climate Forecasting:
    Summary of a Workshop. Roundtable on Science and Technology for Sustainability, Policy and
    Global Affairs. Washington DC: National Research Council of the National Academies 2005.

Fowler, H. J., and R. L. Wilby. 2007. Beyond the Downscaling Comparison Study. International Journal of
   Climatology 27: 1543-1545. (link )

Hayhoe. K. et al., 2008. Regional Climate Change Projections for the Northeast USA. Mitig. Adapt. Strat.
   Glob. Change, 13, 425-436. (link )

Khan, M.S., P. Coulibaly, and Y. Dibike, 2006: Uncertainty analysis of statistical downscaling methods, J.
   Hydrology, 319, 357-382. (link )

Kilsby, C. G., P. D. Jones, A. Burton, A. C. Ford, H. J. Fowler, C. Harpham, P. James, A. Smith & R. L.
    Wilby (2007) A daily weather generator for use in climate change studies. Environmental Modelling &
    Software, 22, 1705-1719. (link )

Lemos MC, Finan T, Fox R, Nelson D, Tucker J. The Use of seasonal climate forecasting in policymaking:
   lessons from Northeast Brazil. Climatic Change 2002;55:479-507

Lemos, M. C., and R. B. Rood, 2010. The Status of Climate Projections and their Impact on Practice. Wiley
   Interdisciplinary Reviews: Climate Change (in Press)

Maurer, E. P., L. Brekke, T. Pruitt, and P. B. Duffy 2007. Fine-resolution climate projections enhance
   regional climate change impact studies, /Eos Trans. AGU, 88/(47), 504 (link )

Mearns, L.O., et al. 1999. Comparison of Climate Change Scenarios Generated from Regional Climate
   Model Experiments and Statistical Downscaling. Journal of Geophysical Research-Atmospheres 104:
   6603-6621. (link )

Mearns, L.O. F. Giorgi, P. Whetton, D. Pabon, M. Hulme, M. Lal, 2003. Guidelines for Use of Climate
   Scenarios Developed from Regional Climate Model Experiments by DDC of IPCC TGCIA Final
   Version - 10/30/03 (http://www.ipcc-data.org/guidelines/dgm_no1_v1_10-2003.pdf )

Schmidli, J., et al. 2007. Statistical and Dynamical Downscaling of Precipitation: An Evaluation and
   Comparison of Scenarios for the European Alps. Journal of Geophysical Research-Atmospheres 112.
   D04105, doi:10.1029/ 2005JD007026. (link )

Vrac, M, M.L. Stein, K. Hayhoe, and X.Z. Liang.2007. A general method for validating statistical
    downscaling methods under future climate change. Geophys. Res. Lett. , 34, L18701
    10.1029/2007gl030295

Wilby, R.L., et al. 2009. A Review of Climate Risk Information for Adaptation and Development Planning.
    International Journal of Climatology 29: 1193-1215. (link )
Wilby, R.L., and T.M.L. Wigley. 1997. Downscaling General Circulation Model Output: A Review of
    Methods and Limitations. Progress in Physical Geography 21: 530-548. (link )

Wilby, R., C. Dawson and E. Barrow, 2002: SDSM - a decision support tool for the assessment of regional
    climate change impacts, Env Model Software, 17, 145–157. (link )

Wilby, R.L., S.P. Charles, E. Zorita, B. Timbal, P. Whetton and L.O. Mearns, 2004: Guidelines for Use of
    Climate Scenarios Developed from Statistical Downscaling Methods. Published on-line, supporting
    material to the Intergovernmental Panel on Climate Change, 27pp. http://www.ipcc-
    data.org/guidelines/dgm_no2_v1_09_2004.pdf

Wilby, R. L., and K. Miller, 2009: Technical Briefing Paper (4) Rationale and Application of Regional
    Climate Downscaling (Water Research Foundation) (link )

Winkler, J.A., and G.S. Guentchev. In review. Climate Scenarios for Local/Regional Climate Change
   Impact Assessments: An Overview for Non-climatologists. Geography Compass.

Winkler, J.A., et al. In press. The Development and Communication of an Ensemble of Local-scale
   Climate Scenarios: An Example from the Pileus Project. Proceedings of the International Symposium
   on Climate Change in the Great Lakes Region: Decision Making Under Uncertainty, T. Dietz and D.
   Bidwell, editors.

Wood, A. et al. 2004: Hydrologic Implications of Dynamical and Statistical Approaches to Downscaling
   Climate Model Outputs. Climatic Change 62: 189-216.
Downscaling Projects and Websites with Data

Pileus project
http://www.pileus.msu.edu/
“The overarching purpose of the Pileus Project is to provide useful climate information to assist decision
makers. The current focus is on two leading industries in the Great Lakes region: agriculture and tourism.”

ENSEMBLES project
http://grupos.unican.es/ai/meteo/ensembles/index.html
“One of the ENSEMBLES project's aims is maximizing the exploitation of the results by linking the
outputs of the ensemble prediction system to a range of applications, including agriculture, health, food
security, energy, water resources, insurance and weather risk management, which use high resolution
climate inputs to feed their models. To cover the gap between the global coarse simulations and the
regional high-resolution needs, downscaling techniques are required, both dynamical and statistical.”

APDRC (Asia-Pacific Data-Research Center of the IPRC)
http://apdrc.soest.hawaii.edu/projects/SD/
Statistical Downscaling of IPCC Climate Scenarios onto the Hawaiian Islands
“We applied a statistical downscaling method in order find a connection between the large-scale
atmospheric circulation over the Pacific (180-120W 10S-40N) with the rainfall over Hawaii.”

GODEA (Global Ocean Data Assimilation Experiment)
http://www.godae.org/CSS-project-overview.html
“Overview of ongoing/planned CSS downscaling projects linked to GODAE” 

CORDEX: COordinated Regional climate Downscaling Experiment
http://www.meteo.unican.es/en/projects/CORDEX
“CORDEX is a WCRP-sponsored program to produce regional climate change scenarios globally,
contributing to the IPCC AR5 and to the climate community beyond the AR5.”
 
Climate Change Capacity Development: Climate Change Explorer Tool (A.3.2)
http://www.c3d-unitar.org/?q=node/26

Climate Change Impacts for the U.S. Northeast (PCMDI)
http://www-pcmdi.llnl.gov/ipcc/project_detail.php?ipcc_subproject_id=354
Websites with Downscaled Data

Statistically Downscaled WCRP CMIP3 Climate Projections
http://gdo-dcp.ucllnl.org/downscaled_cmip3_projections/#Welcome

WCRP CMIP3 Multi-Model Dataset Archive at PCMDI
http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php

NARCCAP North American Regional Climate Change Assessment Program
http://www.narccap.ucar.edu/

The Bureau of Meteorology Statistical Downscaling Model Graphical User Interface: user manual
and software documentation CAWCR Technical Report No. 004 B. Timbal, Z. Li and E. Fernandez
December 2008
http://www.cawcr.gov.au/publications/technicalreports/CTR_004.pdf

Canadian Climate Change Scenarios Network - National Node
http://www.cccsn.ca/Help_and_Contact/Downscaling-e.html

Climate Research Unit
http://www.cru.uea.ac.uk/cru/data/

ENSEMBLES
http://grupos.unican.es/ai/meteo/ensembles/index.html
One of the ENSEMBLES project's aims is maximizing the exploitation of the results by linking the outputs
of the ensemble prediction system to a range of applications, including agriculture, health, food security,
energy, water resources, insurance and weather risk management, which use high resolution climate inputs
to feed their models. To cover the gap between the global coarse simulations and the regional high-
resolution needs, downscaling techniques are required, both dynamical and statistical.

SNOWDAS (SNOw Data Assimilation System)
http://www.ncdc.noaa.gov/oa/documentlibrary/satellite-doc.html#9940
“Its purpose is to provide the best possible estimates of snow cover and associated variables to support
hydrologic modeling and analysis…he snow model has high spatial (1 km) and temporal (1 hour)
resolutions and is run for the conterminous United States. SNODAS is run each day, forced by downscaled
output from the RUC2 NWP model.”

NCAR's GIS Initiative Climate Change Scenarios GIS data portal (CCSM data)
http://www.gisclimatechange.org/

Climate Change Capacity Development: Climate Change Explorer Tool (A.3.2)
http://www.c3d-unitar.org/?q=node/26

Climatewizard (The Nature Conservancy)
http://www.climatewizard.org/

World Wildlife Fund
http://www.worldclim.org/futdown.htm

Pileus
http://www.pileus.msu.edu/
The overarching purpose of the Pileus Project is to provide useful climate information to assist decision
makers. The current focus is on two leading industries in the Great Lakes region: agriculture and tourism.

Center for Climatic Research (University of Wisconsin)
http://ccr.aos.wisc.edu/model/ipcc10min/

Wisconsin Initiative on Climate Change Impacts
http://www.wicci.wisc.edu/

MRED (Multi-RCM Ensemble Downscaling of multi-GCM Seasonal Forecasts)
http://ecpc.ucsd.edu/projects/MRED/

NCEP Downscaled GFS by NAM Extension (DGEX)
http://wwwt.emc.ncep.noaa.gov/mmb/mmbpll/dgexhome.ops/

Downscaled GFS with Eta Extension
http://www.nws.noaa.gov/ost/ifps_sst/DGEX.html
Other Resources

http://www.earthsystemcurator.org/
http://www.earthsystemgrid.org/
http://dycore.ucar.edu/

Michigan State Climatologist’s Office
http://climate.geo.msu.edu/index.html
        no downscaled data but SEMCOG rain gauge network Precipitation data (1998-2003)
        http://climate.geo.msu.edu/Semcog/SEM/mainsem.html

MRCC (Midwestern Regional Climate Center)
http://mcc.sws.uiuc.edu/overview/overview.htm
“The MRCC serves the nine-state Midwest region (Illinois, Indiana, Iowa, Kentucky, Michigan, Minnesota,
Missouri, Ohio, and Wisconsin). Our services and research help to better explain climate and its impacts on
the Midwest, provide practical solutions to specific climate problems, and allow us to develop climate
information for the Midwest on climate-sensitive issues such as agriculture, climate change, energy, the
environment, human health, risk management, transportation, and water resources.”
**does not indicate any collections of downscaled data but other useful resources

State Climatology Office for Ohio
http://www.geography.ohio-state.edu/faculty/rogers/statclim.html

Great Lakes Commission
http://www.glc.org/monitoring/
Data resources but no apparent downscaling

Community Data Portal
http://cdp.ucar.edu/

Comprehensive Large Array-Data Stewardship System (CLASS)
CoastWatch, Great Lakes Node (CWGL)
http://www.nsof.class.noaa.gov/saa/products/search?datatype_family=CWGRL

GLERL (Great Lakes Environmental Research Laboratory)
http://www.glerl.noaa.gov/data/

RISA’s (Regional Integrated Sciences & Assessments)
http://www.climate.noaa.gov/cpo_pa/risa/


MODIFIED: 20100302, 20100726

				
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