paper
2020
Data assimilation
Observations & remote sensing New model or method
Classical ML (trees, GP, linear, kernels)Met OfficeKorea Meteorological Administration (KMA) Journal
2020-05-13
047
May 2020
Ahreum Lee, Byung-Ju Sohn, E. Pavelin et al.
Weather and Forecasting
Met Office, Korea Meteorological Administration (KMA)
An artificial neural network estimates IASI cloud-top pressure and fraction closer to optimal values, cutting retrieval time and improving 1D-Var cloudy-sky assimilation with near-neutral forecast impact.
Assessment of Cloud Retrieval for IASI 1D-Var Cloudy-Sky Assimilation and Improvement with an ANN Approach
In one sentence. An artificial neural network estimates IASI cloud-top pressure and fraction closer to optimal values, cutting retrieval time and improving 1D-Var cloudy-sky assimilation with near-neutral forecast impact.
Labels
- Topic
- Data assimilation, Observations & remote sensing
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Global
- Data
- Satellite, NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Pre-operational / experimental
- Identifiers
- DOI:10.1175/waf-d-19-0218.1 OpenAlex:W3024326514
- Added
- 2026-10-22
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