Real Time Retargeting
Abstract
LONG TERM GOALS: The primary goal of this research is to use recently developed numerical methods (including adjoint techniques) to study predictability of atmospheric flows at various scales (synoptic and mesoscale), and identify specific factors, including observational requirements, which can be controlled (in real-time) to provide significant increases in short-range (up to 3 days) forecast skill. OBJECTIVES: In many forecast situations, a high percentage of forecast error in operational numerical weather prediction (NWP) models is attributable to deficiencies in the initial conditions. The question of initial condition uncertainty is central to future improvements in NWP. An adjoint model can be used to identify the most significant initial condition sensitivity in a given forecast situation. Since even small initial condition error can be very detrimental in sensitive locations, a targeted improvement in observational capability has the potential for significant increases in forecast skill (higher predictability). Techniques of targeting observations will be demonstrated by assimilating data of various types (obtained in real-time) into operational forecast models and evaluating the impact on forecast skill.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 1997
- Accession Number
- ADA634479
Entities
People
- Rolf H. Langland
Organizations
- United States Naval Research Laboratory