Hoffman, F.M., Fung, I., Randerson, J., Thornton, P., Stockli, R., Heinsch, F., Running, S., Hibbard, K., John, J., Covey, C., Foley, J., Post, W.M., Hargrove, W.W., Erickson, D.J. and Mahowald, N. (2006) Preliminary Results from the CCSM Carbon-Land Model Intercomparison Project (C-LAMP). EOS Transactions American Geophysical Union, 87(52), Fall Meeting Supplement, Abstract B51C-0316.

has been cited by the following article:

• TITLE: Applying Downscaled Global Climate Model Data to a Groundwater Model of the Suwannee River Basin, Florida, USA

  AUTHORS: Eric Swain, J. Hal Davis

  KEYWORDS: Groundwater, Climate Model, River System, Downscaling

  JOURNAL NAME: American Journal of Climate Change, Vol.5 No.4, November 18, 2016

  ABSTRACT: The application of Global Climate Model (GCM) output to a hydrologic model allows for comparisons between simulated recent and future conditions and provides insight into the dynamics of hydrology as it may be affected by climate change. A previously developed numerical model of the Suwannee River Basin, Florida, USA, was modified and calibrated to represent transient conditions. A simulation of recent conditions was developed for the 372-month period 1970-2000 and was compared with a simulation of future conditions for a similar-length period 2039-2069, which uses downscaled GCM data. The MODFLOW groundwater-simulation code was used in both of these simulations, and two different MODFLOW boundary condition “packages” (River and Streamflow-Routing Packages) were used to represent interactions between surface-water and groundwater features. The hydrologic fluxes between the atmosphere and landscape for the simulation of future conditions were developed from dynamically downscaled precipitation and evapotranspiration (ET) data generated by the Community Climate System Model (CCSM). The downscaled precipitation data were interpolated for the Suwannee River model grid, and the downscaled ET data were used to develop potential ET and were interpolated to the grid. The future period has higher simulated rainfall (10.8 percent) and ET (4.5 percent) than the recent period. The higher future rainfall causes simulated groundwater levels to rise in areas where they are deep and have little ET in either the recent or future case. However, in areas where groundwater levels were originally near the surface, the greater future ET causes groundwater levels to become lower despite the higher projected rainfall. The general implication is that unsaturated zone depth could be more spatially uniform in the future and vegetation that requires a range of conditions (substantially wetter or drier than average) could be detrimentally affected. This vegetation would include wetland species, especially in areas inland from the coast.