Mobile Micro Rain Radar


Status

Network: Offline
Radar (MRR): Offline
Weather Station: Offline
Disdrometer: Offline
Camera: Offline
GPS: Offline

Location

Latitude:
(No data)
Longitude:
(No data)
Altitude:
(No data)

Downloads

MRR Raw Data - Raw data for the last 24 hours
MRR Last Step - The last timestep recorded
Weather Station Raw Data - Raw data for the last 24 hours
Weather Station Last Step - The last timestep recorded
Disdrometer Raw Data - Raw data for the last 24 hours
Disdrometer Last Step - The last timestep recorded

SYNOP from Disdrometer:No information available

  1 Hour 6 Hours 24 Hours
Radar Reflectivity
Fall Velocity
Rain Rate
(MMR)
Rain Rate
(Disdrometer)

Surface Observations (Wed 31 Dec, 07:00 pm)

Temperature:
(No data)
Relative Humidity:
(No data)
Pressure (MSL):
(No data)
Wind Speed:
(No data)
Current Rain Rate:
(No data)
Rain Accumulation Since Midnight:0 (inches)

Current View


Events the last 7 days

StartEnd

Query on arbitrary dates

Query tool

General Information

When an ice storm hit the Triangle area in December 2002, thousands of homes lost power. Worse, utility trucks were slowed in their efforts to restore power because many were located outside the affected area and couldn't travel on ice-covered roads. A better ability to predict ice storms could've put the trucks where they were most needed before the ice hit and resulted in a quicker restoration of essential services.

RENCI has deployed a Mobile Micro Rain Radar (M²R²) - one of only six in the U.S - to improve ice storm prediction. The radar detects precipitation in the atmosphere and how high above the ground that precipitation will freeze - the freezing line. Above the freezing line, precipitation is frozen, and how close to the surface that line is determines whether precipitation falls as rain, freezing rain, sleet or snow. The radar also can be used to accurately predict rain rates - how fast rain is falling - during severe storms.

M²R² is mobile enough to move as conditions demand, but will likely spend much time in the western Piedmont area, the part of North Carolina most frequently hit by ice storms. It gives the National Weather Service and other users a needed data point in that area and helps in determining where and when ice is likely to hit. The radar data is collected by an on-site computer and transferred via a cell phone network to a RENCI server and then displayed on a website. The system updates in minutes and can be accessed from the Web by forecasters, planners, utility companies, rescue workers and government officials.

Mobile Micro Rain Radar

M²R² Details

  • 24.1 GHz. Outputs 50 miliwatts of power.
  • System consists of a 2-foot antenna dish, radar, receiver unit, and an RS-232 data transmission interface.
  • System is mounted on a trailer for transport so it can easily be moved based on approaching weather conditions.
  • Collects drop size distribution
  • Derives fall velocity and reflectivity.
  • Data is transmitted to RENCI in real time and posted for download.

For more information, please contact Jessica Proud jproud@renci.org