paper
2019
Observations & remote sensing
New model or method
Classical ML (trees, GP, linear, kernels)Tsinghua University (NowcastNet) Journal
2019-11-11
018
Nov 2019
Khalil Ur Rahman, Songhao Shang, Muhammad Shahid et al.
Journal of Hydrometeorology
Tsinghua University (NowcastNet)
Dynamic clustered Bayesian model averaging merges four satellite precipitation products over Pakistan, outperforming each input product against gauges.
Application of a Dynamic Clustered Bayesian Model Averaging (DCBA) Algorithm for Merging Multisatellite Precipitation Products over Pakistan
In one sentence. Dynamic clustered Bayesian model averaging merges four satellite precipitation products over Pakistan, outperforming each input product against gauges.
Labels
- Topic
- Observations & remote sensing
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- Satellite, Station / in-situ, ERA5 / reanalysis
- Status
- Research
- Identifiers
- DOI:10.1175/jhm-d-19-0087.1 OpenAlex:W2985698636
- Added
- 2026-10-22
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