IAI-Science-ISP-3-030-Applications of Multiple Lead-Time Climate Predictions in the Region of Central America and the Caribbean

The main objectives of this project were to: 1) Improve and promote access to basic long-term hydroclimatological data for researchers and institutions in Central America and the Caribbean. 2) Identify and incorporate a suite of specific user-defined phenomenological data and related economic sector specific data to be used in developing applications for climate predictions produced by US and other institutions. 3) Develop a set of applications to sector specific areas based on quantitative GCM predictions using SST (ENSO) and other predictive tools, such as the use of downscaling algorithms, and statistical validation using ensemble techniques. 4) Evaluate the utility of the GCM forecast products through the use of statistical forecast models of mean temperature and precipitation at sub-monthly to interannual time scales. 5) Evaluate the usefulness of the GCM predictions for individual user sectors.

Determine optimal information products for user derived from the model predictions. 6) Establish ongoing mechanisms to continually provide two-way feedbacks between the target user sectors and climate researchers. 7) Evaluate a range of options for establishing direct technology transfer to the user community. The final report for this project can be downloaded from this page (See instructions below). Principal Investigator >> Henry Diaz, hfd@cdc.noaa.gov, NOAA.