Smart Climatology System
Abstract
Climatology traditionally obtained by mission planners consists of primarily basic statistics derived from a long-term mean of a data set of station observations or large-scale numerical weather prediction (NWP) analyses. These statistics (e.g., long-term means, max./min. value, and standard deviation) are static in nature; once computed they do not change. These statistics are useful; however, they flatten out the climate anomalies and are unable to represent a range of climatic conditions of a local area. It is desirable that the climate statistics used by mission planners reflect the climate anomalies, recent trends, mesoscale characteristics (high resolution), and up-to-date information. We recommend that we fulfill these mission planner needs by generating on-demand mesoscale/regional climate statistics for any given area and for a specific time period. This project has successfully demonstrated how these mission planning needs can be fulfilled by using the NWP downscaling technique. It is estimated that the on-demand climatology can be generated in one to two months depending on the specific needs and coverage of the domain and time.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 24, 2010
- Accession Number
- ADA530518
Entities
People
- Frederick E. Petry
- James D. Dykes
- John W. Cook
- Lucy Smedstad
- Ted Tsui
Organizations
- United States Naval Research Laboratory