paper
2019
Observations & remote sensing
New model or method
OtherColorado State University (incl. CIRA)NOAA (incl. GFDL, PSL, GSL, NCEP/EMC) Journal
2019-10-07
061
Oct 2019
Haonan Chen, V. Chandrasekar, Robert C. Cifelli et al.
IEEE Transactions on Geoscience and Remote Sensing
Colorado State University (incl. CIRA), NOAA (incl. GFDL, PSL, GSL, NCEP/EMC)
An MLP fuses geostationary and LEO satellite data with dual-polarization ground radar to improve precipitation estimates over Dallas-Fort Worth.
A Machine Learning System for Precipitation Estimation Using Satellite and Ground Radar Network Observations
In one sentence. An MLP fuses geostationary and LEO satellite data with dual-polarization ground radar to improve precipitation estimates over Dallas-Fort Worth.
Labels
- Topic
- Observations & remote sensing
- Type
- New model or method
- Method
- Other
- Domain
- Regional
- Data
- Satellite, Radar
- Status
- Research
- Identifiers
- DOI:10.1109/tgrs.2019.2942280 OpenAlex:W2980276221
- Added
- 2026-10-22
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