paper
2023
Observations & remote sensing
New model or method
CNN / U-NetRNN / LSTM / ConvLSTM Journal
2023-01-01
012
Jan 2023
Cuixian Lu, Zhuo Wang, Zhilu Wu et al.
IEEE Transactions on Geoscience and Remote Sensing
A CNN-LSTM retrieves global ocean surface wind speed from CYGNSS GNSS-R data, reaching 1.34 m/s RMSE against ERA5 and beating CNN by 6.3%.
Global Ocean Wind Speed Retrieval From GNSS Reflectometry Using CNN-LSTM Network
In one sentence. A CNN-LSTM retrieves global ocean surface wind speed from CYGNSS GNSS-R data, reaching 1.34 m/s RMSE against ERA5 and beating CNN by 6.3%.
Labels
- Topic
- Observations & remote sensing
- Type
- New model or method
- Method
- CNN / U-Net, RNN / LSTM / ConvLSTM
- Domain
- Global
- Data
- Satellite, ERA5 / reanalysis
- Status
- Research
- Identifiers
- DOI:10.1109/tgrs.2023.3276173 OpenAlex:W4376607832
- Added
- 2026-10-22
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