paper
2020
Observations & remote sensing
Benchmarks, datasets & evaluation Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels) Journal
2020-07-21
008
Jul 2020
Feng Lyu, Guoqiang Tang, Ali Behrangi et al.
IEEE Transactions on Geoscience and Remote Sensing
Triple collocation merges CMORPH, PERSIANN and ERA5 precipitation over China, improving on each input product against rain-gauge data; the method is statistical rather than ML.
Precipitation Merging Based on the Triple Collocation Method Across Mainland China
In one sentence. Triple collocation merges CMORPH, PERSIANN and ERA5 precipitation over China, improving on each input product against rain-gauge data; the method is statistical rather than ML.
Labels
- Topic
- Observations & remote sensing, Benchmarks, datasets & evaluation
- Type
- Evaluation or intercomparison of existing models
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- Satellite, ERA5 / reanalysis, Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1109/tgrs.2020.3008033 OpenAlex:W3044411297
- Added
- 2026-10-22
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