1. •   Third-Generation Regional Climate Model (RegCM3)
   

Pal, et. al, 2007:  Regional climate modeling for the developing world:  The ICTP RegCM3 and RegCNET.  Bulletin of the American Meteorological Society.  88, 1395-1409

RegCM3 is maintained here at MIT in the Eltahir Group as well as at ICTP.  Recent improvements made to the model in the Eltahir Group include the addition and improvement of subcloud layer evaporation schemes (Kuo, SUBEX)  [Marcella and Eltahir, 2008].  Also, current work is being completed in improving the dust module by including subgrid variability in dust emission parameters.

RegCM3 is coupled to following two land surface schemes:

1. 1.   Biosphere-Atmosphere Transfer Scheme (BATS1e)
   

Dickinson, R., A. Henderson-Sellers, and P. Kennedy, 1993:  Biosphere-Atmosphere Transfaer Scheme (BATS) version 1e as coupled to the NCAR Community Climate Model.  NCAR Tech. Note NCAR/TN-387+STR, 72pp. 

2.   Integrated Biosphere Simulator (IBIS) (coupled here in the Eltahir Group) [Winter et al, in review]

Ramankutty C.N., S. Levis, D. Pollard, S. Sitch

and A. Haxeltine, 1996: An integrated biosphere model of land surface processes, terrestrial carbon balance, and vegetation dynamics. Global

Biogeochemical Cycles, 10(4), 603–628 [1996].

1. •  Hydrology, Entomology, and Malaria Transmission Model (HYDREMAT)   [Bomblies, et al, 2008]
   

    A coupled hydrology and entomology model has been developed to simulate in high spatial and temporal resolution the mechanistic links between environmental variables and malaria transmission. The hydrology model uses spatially distributed, satellite-derived vegetation and soil parameters. Excess precipitation is routed over this rough, infiltrating surface to simulate the formation and persistence of pools which allow malaria mosquito breeding. An agent-based entomology model simulating known behavior relevant to malaria transmission constitutes the link between hydrology and malaria.  In this way, environmental determinants of malaria transmission are simulated in detail.

Models

Data

schematic of RegCM3

schematic of IBIS

1. •    NCEP/NCAR Reanalysis Project
   
   40-year assimilated dataset of global atmospheric and surface variables.
   
   Kalnay, E. et. al. (1996) The NCEP/NCAR 40-Year Reanalysis Project, Bulletin of the American Meteorological Society, 77, 437-471.
   http://www.scd.ucar.edu/dss/pub/reanalysis/index.html
   

1. •     Europe Centre for Medium-Range Weather Forecasts (ECMW)’s 40 yr. Reanalysis Project ERA-40
   

           40-year assimilated dataset of global atmosphere and surface variables.

            Uppala S. et. al. (2005)  The ERA-40 Reanalysis, Quarterly Journal of Royal Meteorological   Society.       131, 2961-3012.

1. •    Climate Research Unit (CRU) High Resolution Time Series (TS 2.1)
   

        

            Half degree by half degree, 100 yr. gobally interpolated surface meteorological variables

         

            Mitchell, T.D. and P.D.J. Jones (2005) An Improved method of constructing a database of monthly climate observations and associated high-resolution grids,  International Journal of Climatology.  25, 6793-712.

          http://www.cru.uea.ac.uk/cru/data

•Earth Radiation Budget Experiment (ERBE)

   Monthly gridded global dataset of surface radiative fluxes, 1983-1991.

   Darnell, W.L., W.F. Staylor, S.K. Gupta, N.A. Ritchey and A.C. Wilber (1995) A global long-term             dataset of the shortwave and longwave surface radiation budget, GEWEX NEWS, 5, 1.
http://cirrus.larc.nasa.gov/erbe/ASDerbe.html

•Global Precipitation Climatology Project (GPCP)

    Monthly gridded global dataset of precipitation, 1986-1995.

   Huffman, G.J., ed. (1997) The Global Precipitation Climatology Project  monthly mean precipitation data set. ,WMO/TD No. 808, WMO, Geneva, Switzerland. 37pp.
http://orbit-net.nesdis.noaa.gov/gpcp/

•Illinois State Water Survey Soil Moisture Dataset

     Monthly and Bi-weekly station data for 1981-1996 at 19 sites across Illinois.

   Hollinger, S. E., and S. A. Isard (1994) A soil moisture climatology of Illinois, Journal of Climate, 7, 822-833.

•Illinois State Water Survey Groundwater Level Dataset

     Monthly data for 18 wells in Illinois for the period 1950-1997.

   Changnon, S. A., F. A. Huff, and C. F. Hsu (1988) Relations between precipitation and shallow groundwater in Illinois, Journal of Climate,1, 1239-1250.

•Midwest Climate Center Precipitation Dataset

     Daily precipitation for 129 stations in Illinois, 1981-1996.

   Kunkel, K. E., S. A. Changnon, C. G. Longuist, and J. A. Angel (1990) A real-time climate information system for the Midwester United States, Bulletin of the American Meteorological Society, 71, 1601-1609.