Ground-Based Micro Rain Radar Precipitation Data from UConn

University of Connecticut data includes reflectivity, Doppler velocity, signal-to-noise ratio, and derived metrics like droplet size and rain rate. Measurements were collected by Micro Rain Radar 2 and MRR-Pro instruments deployed between 2021 and 2024. The dataset is provided by the GHRC DAAC organization in netCDF formats.

Use Cases

• Estimate rain_rate from reflectivity and Doppler velocity measurements using regression models.
• Classify melting_layer presence using spectral width and radial velocity features.
• Model drop size distribution from liquid water content and droplet size data.
• Correct for rain attenuation in radar signals using signal-to-noise ratio and reflectivity fields.

Strengths

• Data collection spans over 2.5 years from December 2021 to May 2024.
• Includes measurements from three distinct instrument deployments (one MRR-2 and two MRR-Pros).
• Provides multiple derived physical parameters like liquid water content and drop size distribution.

Limitations

• Specific row count, geographic location of deployment, and sample size are unknown.
• Data is from a single ground site, limiting spatial representativeness.

Provenance

Source

GHRC_DAAC, part of NASA's Earthdata system.

Collection Method

Data collected by ground-based Micro Rain Radar 2 and MRR-Pro instruments.

Time Range

December 1, 2021 to May 5, 2024.

Freshness

Dataset metadata was last updated in May 2024.

Geography

University of Connecticut deployment site; specific coordinates unknown.