Development of Methods to Generate High Resolution Climatological Databases to Support DoD Modeling and Simulation Programs
Abstract
This project focuses on developing methods to estimate 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 executed in data assimilation mode to generate a ten year 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 used anywhere in the world. The work during this first year included: (1) the development of a method to optimally blend the available observations and model generated data into a seamless regional climatology; (2) development of a method to objectively assess the quality of the simulated climate statistics in both data rich and data sparse regions; and (3) the generation of three-dimensional simulated climate statistics for all seasons of the year over a 10-year period for two different regions of the world: Korea and the Middle East.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 15, 1998
- Accession Number
- ADA353343
Entities
People
- Glenn E. Van Knowe
- John W. Zack
- Mary D. Bousquet
- Pamela E. Price
- S. Young