Mesoscale Prediction and Satellite Cloud Analysis for Advanced Meteorological Processing Systems
Abstract
Three topics are addressed: mesoscale prediction modeling, improvements and modifications to the Air Force real-time nephanalysis program, and on-site support for maintenance and enhancements to the Air Force Interactive Meteorological Processing System (AIMS). Mesoscale model work centered on the GL/LYP prediction model. An investigation of the model revealed several problems and inconsistencies when attempting to reproduce the Aster results. Numerous procedural changes were made to the model program to facilitate operation and interpretation of model results. Nephanalysis work was in a number of areas including: satellite data ingest and data base management, remapping of satellite data, and development of an atmospheric transmission band model to characterize infrared water vapor attenuation. Band model results were inconclusive due to model sensitivity to input data field quality, particularly surface temperature and vertical moisture profiles. AIMS support consisted of system management, technical support, and software development over a time of explosive system growth. During the period of the contract, 11 processing nodes were added to the cluster in addition to numerous peripheral devices and software upgrades.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 08, 1991
- Accession Number
- ADA240510
Entities
People
- Charles F. Ivaldi
- Gary B. Gustafson
- Ho-chun Huang
- Jean-luc Moncet
- Jeanne M. Sparrow
Organizations
- Atmospheric and Environmental Research, Inc