The Application of High Resolution Dynamical-Numerical Models as a Tool to Infer Climate Statistics
Abstract
The grant The Application of High Resolution Dynamical-Numerical Models as a Tool to Infer Climate Statistics was designed to investigate the use of dynamical-numerical models as a tool for the inference of climate statistics. In addition this grant would develop a procedure that could be implemented at department of defense centers (particularly AFCCC). The main objective of this work was to determine the feasibility of using a dynamical-numerical model for the generation of climate statistics. Other objectives of the pro-posed work were: (1) Estimate the quality of climate statistics generated from a dynamical-numerical model, (2) Determine the change in quality of the statistics with varying amounts of observational data assimilated into the model, (3) Estimate the sensitivity of the statistics to the choice of numerical model. (4) Determine the variations in the quality of the statistics with differing simulation strategies, and (5) Investigate algorithms to estimate quantities not directly generated by the model (i.e., visibility, icing, etc.). The major effort of this work involved the simulations for January and July for ten years. The details of the results of these simulations are found in the accompanying technical reports. Here we will mainly address the objectives listed above.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 14, 1998
- Accession Number
- ADA384543
Entities
People
- Charles E. Graves
- John Zack
Organizations
- Saint Louis University