Severe Hazards Analysis & Verification Experiment (SHAVE 2007)
Operations Plan
Introduction
Collaborating Projects
Facilities
Data collection team
Daily activities
Strategies
Ground surveys
Submit a storm photo
(Coming soon)
Submit a hail report
(Central OK)
Staff pages (internal)
Data
(Google Maps of SHAVE data)
|
Data Collection Team Duties
The data collection team consists of a mix of students and scientists from OU
and NSSL. There will always be a scientist either on-duty or on-call during
operations. A typical data collection period will have three to five people collecting data
with one person serving as operations coordinator (OC) with possibly an
assistant OC. The coordinator will
typically make decisions on the type of storms to investigate as well as which
storms in particular should be examined. They may take part in data collection
as well, depending on workload. The rest of the team will be involved in
collecting data from the public about hail size and duration.
|
During the project, operations may occur on any day of the week, and student
participants should expect to work 35 to 40 hours each week. Operations will
typically be from around 1 pm to 9 pm CDT, but earlier
in some cases. The primary duty of student participants is data collection;
however, there will likely be less-active days were additional data analysis
and other duties will be performed.
|
Operations Coordinator and OC Assistant:
- select storms for interrogation
- select "call targets" from available phone number databases
- coordinate with other Hazardous Weather Testbed projects
- help maintain communication among all participants during operations
- maintain a (b)log of data collection activities (which storms, reasoning)
- monitor computer systems for any problems
- call end of operations
Data Collection Team:
- check operations status message at 11:45 am each day
- select "call targets" from available list after the storm passes the
location
- call the targets and conduct survey
- enter and check the data
- communicate with OC and each other to ensure the best data collection
strategies
|