# Delft Multi-Sensor Information System for Situation AwarenessThe Microwave Sensing, Signals and Systems group at TU Delft presents

**Source**: https://regenradar.tudelft.nl/
**Parent**: https://radar.tudelft.nl/Research/

In [the Microwave Sensing, Signals and Systems group](https://radar.tudelft.nl) at TU Delft we are study and developing modern radar systems, signal and data processing algorithms for different applications.
We created and run a few unique radar sensors, which operate continuously (24 hours 7 day per week), collecting research data.
The processing of these data provides the information, which we want to share with you. You can use it in everyday life for better awareness about current weather condition in the area around Delft.

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- [What is going on above?](#fragment-01)
- [What is going on around?](#fragment-02)
- [What is going on right here?](#fragment-03)

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| PARSAX Radar data | | | |

- [Reflectivity](#fragment-1)
- [Mean Doppler Velocity](#fragment-2)
- [Doppler Width](#fragment-3)
- [Polarimetric Parameters](#fragment-4)
- [Spectra](#fragment-5)

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|  | [<img id="VV\_Z" 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 "Reflectivity VV (dBZ)") |