Forecast Improvements
WDTB Project 10 – Warning Decision-Making Research and Training: Real-Time System
Funding Type: CIMMS Task II
Objectives
Investigate warning decision making issues with real time events; evoke
a better understanding of the warning decision making process; and transfer
that knowledge to warning decision makers to improve performance.
Accomplishments
The warning decision making process is multi-faceted, often being improved
directly by unique observing systems, data analysis techniques, human
factors, or improvements in forecast verification. CIMMS scientists collaborated
with the Warning Decision Training Branch (WDTB) on an ongoing project
to provide various real time data, such as satellite data, radar data,
model grid data, point data (including METAR, upper air, profiler, and
lightning) and Bufr profiles. The WDTB real-time system provides an operationally
realistic environment for researchers and instructors to experience various
events over the country, and develop skills of warning decision making,
and archive these events for future training. The system can be used
for real-time viewing or briefing, case studying, or as an introduction
to AWIPS for students of the University of Oklahoma School of Meteorology.
Because of the unique data requirements of the training community, the CIMMS staff has created unique solutions and builds up a unique real-time system which consists of multiple LDM servers and AWIPS servers on several machines with different priority levels. This configuration distributes data processing loads onto multiple computers and highlights various priority levels for different requests. These implementations and configurations enhance the AWIPS, so that users are able to view local data, as well as radar data, across the country. The new improvements also ensure the system running stably and efficiently.
This project is ongoing.