Confidence Index Maps(updated July 10, 2012)
In 2007, Pearlstine and others (2007) developed a confidence index (CI) for the V1 surfacewater model to give a general indication of confidence in the accuracy of the EDENmodeled water levels. The CI for a grid cell is the geometric mean of three parameters weighted by level of significance:
This index was tested using the newest version (V2) of the EDEN surfacewater model and waterlevel measurements at a network of 72 benchmarks. Differences for 300 measurements were computed between the measured water levels at these benchmarks and the modeled water levels using the V2 model. The absolute values of these differences were plotted against the gage distance parameter, canal distance parameter, CVE parameter and the CI to test the correlations.
Plots of the gage distance parameter, canal distance parameter, and CVE parameter show that none of these parameters are strongly correlated with the waterlevel differences at the benchmarks. Likewise, the differences do not correlate with the CI.
Over 82 percent of differences at the benchmarks are plus or minus 5 centimeters, which indicates the ability of the model to estimate the daily waterlevel surface extremely well in most areas of the Everglades. Although a CI map would provide users with a general guideline about the accuracy of water levels modeled by EDEN, the parameters that define the areas with lower confidence are not yet clear. See the USGSseries report documenting the EDEN V2 surfacewater model due later this year for more details about the accuracy of the EDEN waterlevel surfaces.
Pearlstine, L., Higer, A., Palaseanu, M., Fujisaki, I., and Mazzotti, F., 2007, Spatially continuous interpolation of water stage and water depths using the Everglades Depth Estimation Network (EDEN): Gainesville, FL. Institute of Food and Agriculture, University of Florida, CIR 1521, 18 p., 2 apps. 

