Development of Methods to Generate High Resolution Climatological Databases to Support DoD Modeling and Simulation Programs

摘要

This project focuses on developing methods to simulate climate statistics at high resolution in data sparse and data rich locations. The method, given the name CLIMOD, is based on the use of a numerical-dynamical atmospheric model to generate a sample of simulated data from which climatological statistics are computed. The major objectives of the project are to: (1) demonstrate the robustness and general applicability of the method; (2) refine the CLIMOD technique to optimally blend available observations and numerically simulated climate data; (3) extend the method to complex derived climate variables; and (4) construct an integrated software package that can be applied to anyplace in the world. The work during the second year included: (1) the evaluation of the quality of both 10-year data sets subjectively and objectively using all available observational data; (2) extensive data denial experiments to determine the impact of observed data on the simulations; and (3) the development of enhanced postprocessing methods to compute complex derived variables.