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Vaisala Weather Radar WRM200
Overview
The WRM200 is a dual polarization Doppler weather radar with already proven new applications like HydroClass™ - the real time operational hydrometeor classification software. This software is the first COTS product that uses real-time polarization measurement for classifying targets into categories such as hail, snow pellets, snow or rain. The WRM200 provides superior data quality, accurate measurement, easy maintenance access, low maintenance costs, semi-yoke style antenna/pedestal with a low momentum of inertia and weight.
A selection of applications:
- weather surveillance
- severe weather monitoring
- hydrometeorological applications, e.g. flood forecasting
- airport wind shear detection
- hurricane/typhoon/cyclone tracking
Technical Specifications
Transmitter | |
Type | Coaxial Magnetron |
Operating frequency range | 5.5 - 5.7 GHz |
Peak Power | 250 kW |
Modulator | Solid State |
Antenna | |
Type | Center-fed parabolic reflector |
Diameter | 4.5 m |
Gain (typical) | 45 dB |
Beam width | <1 degree |
Peak Side Lobe (typical) | -28 dB |
Peak on Horizontal Axis (typical) | -33 dB |
Integrated Cross-Pol | <-35 dB |
Pedestal | |
Type | Semi yoke elevation over azimut |
Elevation Range | -2 to 108 degrees |
Maximum Scan Rate | 40 deg/sec |
Operating environment | -40° to +55° C, 0 to 95% R.H., non condensing |
Storage environment | -50° to +60° C |
RF-to-IF Receiver | |
Type | Dual stage, dual channel if downconverter |
Dynamic Range | > 99 dB |
IF Frequency | 442 / 60 MHz |
Digital IF Receiver and Signal Processor | |
Type | Vaisala RVP900 |
Clutter filters | fixed, adaptive or GMAP to >55 dB clutter cancellation |
IF Digitizing | 16 bits, 100 MHz in 5 channels |
Radar Controller | |
Type | Vaisala Sigmet RCP8 with IRIS/Radar |
System Specifications | |
Physical dimensions Cabinet (w x h x d) | 600 x 1800 x 1150 mm |
Standard features | |
HydroClassTM for real-time target identification(hail, graupel, rain, snow, wet snow, non-met) Accurate attenuation correction Rainfall estimation based on KDP |
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