GCMs and Emissions Scenarios - Joe Barsugli of NOAA Physical Sciences Division
IPCC Fourth Assessment Report, 2007. Working Group I: the Physical Science Basis for Climate Change. Reports available at: http://ipcc-wg1.ucar.edu/wg1/wg1-report.html
• Technical summary
• Ch. 8 Climate Models and their Evaluation
IPCC, 2000. Special Report on Emissions Scenarios (SRES): http://www.ipcc.ch/ipccreports/sres/emission/index.htm
Also see the WWA website dedicated to the IPCC: http://wwa.colorado.edu/climate_change/ipcc.html
Henson, Robert, 2008. “Rough Guide to Climate Change,” 2nd edition.
Scaife, Folland and Mitchell, 2007. A Model Approach to Climate Change, Physics World. http://physicsworld.com/cws/article/print/26946
Schmidt, 2007. The Physics of Climate Modeling, Physics Today. http://www.physicstoday.org/vol-60/iss-1/72_1.html
Canadell, et. al., 2007. Contributions to accelerating atmospheric CO2 growth from economic activity, carbon intensity, and efficiency of natural sinks. Proceedings of the National Academy of Science (PNAS). http://www.pnas.org/cgi/content/full/104/47/18866
Downscaling Methods -Chris Anderson of NOAA Global Systems Division
Fowler, Blenkinsop, and Tebaldi, 2007. Linking climate change modeling to impacts studies: recent advances in downscaling techniques for hydrological modeling. International Journal of Climatology, 27: 1547-1578.
K Nearest Neighbor (Knn) Technique - Balaji Rajagopalan of WWA and CU Dept. of Civil, Environmental and Architectural Engineering
(You can download the following two references from Balaji’s homepage: http://bechtel.colorado.edu/%7Ebalajir/mywebpage/publications.html)
Rajagopalan, B., and U. Lall, 1999. A Nearest Neighbor Bootstrap Resampling Scheme for Resampling Daily Precipitation and other Weather Variables, Water Resources Research, 35(10), 3089-3101.
Yates, D., S. Gangopadhyay, B. Rajagopalan, and K. Strzepek, 2003. A nearest neighbor bootstrap technique for generating regional climate scenarios for integrated assessments, Water Resources Research, 39(7), 1199.
Hydrology Modeling -Levi Brekke of USBR
Purkey, D.R., A. Huber-Lee, D.N. Yates, M. Hanemann, S. Herrod-Julius, 2007. Integrating a climate change assessment tool into stakeholder-driven water management decision-making processes in California, Water Resour Manage 21:315–329, DOI 10.1007/s11269-006-9055-x
Yates, D.N., J. Sieber, D. Purkey, A. Huber-Lee, 2005. WEAP21 – A Demand-, Priority-, and Preference-Driven Water Planning Model Part 1: Model Characteristics, International Water Resources Association, 30(4):487-500.
NWSRFS (National Weather Service River Forecast System) Snow17, 2005. II.2-SNOW-17 : HYDRO-17 Snow Model, in User Manual for Release 81 (http://www.weather.gov/oh/hrl//nwsrfs/users_manual/part2/_pdf/22snow17.pdf).
NWSRFS (National Weather Service River Forecast System) SAC-SMA, (2005. II.3-SAC-SMA : Conceptualization of the Sacramento Soil Moisture Accounting Model, in User Manual for Release 81 (http://www.weather.gov/oh/hrl//nwsrfs/users_manual/part2/_pdf/23sacsma.pdf).
Beven, K., 2002. Towards an alternative blueprint for a physically based digitally simulated hydrologic response modeling system, Hydrologic Processes, 16:189-2006.
Liang, X., D.P. Lettenmaier, E.F. Wood, and S.J. Burges, 1994. A simple hydrologically based model of land surface water and energy fluxes for general circulation models, J. Geophys. Res., 99(D7), 14,415-14,428.
