paper
2020
Observations & remote sensing
Benchmark or dataset
Classical ML (trees, GP, linear, kernels)0–6 hNASA Journal
2020-10-12
071
Oct 2020
Phu Nguyen, Mohammed Ombadi, Vesta Afzali Gorooh et al.
Journal of Hydrometeorology
NASA
PDIR-Now provides hourly quasi-global infrared-based precipitation at 0.04° with 15-60 min latency, improving the critical success index to 0.53 from 0.47 over PERSIANN-CCS.
PERSIANN Dynamic Infrared–Rain Rate (PDIR-Now): A Near-Real-Time, Quasi-Global Satellite Precipitation Dataset
In one sentence. PDIR-Now provides hourly quasi-global infrared-based precipitation at 0.04° with 15-60 min latency, improving the critical success index to 0.53 from 0.47 over PERSIANN-CCS.
Labels
- Topic
- Observations & remote sensing
- Type
- Benchmark or dataset
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 0–6 h
- Domain
- Global
- Data
- Satellite, Station / in-situ
- Status
- Operational
- Identifiers
- DOI:10.1175/jhm-d-20-0177.1 OpenAlex:W3107195989
- Added
- 2026-10-22
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