Extended Abstract (116K)P3.13
Utilizing variational methods to incorporate a variety of satellite data in the LAPS moisture analysis
Daniel L. Birkenheuer, NOAA/FSL, Boulder, CO
The Local Analysis and Prediction System (LAPS) analyzes three-dimensional moisture along with other state variables each hour over a multi-state domain centered on Colorado in real time. These analyses routinely initialize local-scale high-resolution models such as the Colorado State University's Regional Atmospheric Modeling System (RAMS) and NCAR's MM5 (mesoscale model, version 5). The LAPS system has been integrated into the AWIPS system as part of the National Weather Service modernization. This latest enhancement of LAPS capabilities is another innovation to help the operational forecaster improve local-scale forecasting.
This paper describes an updated variational approach to simultaneously analyze satellite radiances, GOES-derived layer precipitable water, GPS total column water, and cloud information. This technique is currently under development with an anticipated LAPS release sometime in late 2001. The theory, progress, and early results will be presented.
Poster Session 3, Operational Applications
Tuesday, 16 October 2001, 9:15 AM-11:00 AM
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