paper
2023
Observations & remote sensing
Data assimilation New model or method
Physics-informed / physics-constrainedNOAA (incl. GFDL, PSL, GSL, NCEP/EMC) Journal
2023-06-14
051
Jun 2023
Quanhua Liu, Xingming Liang
Optics Express
NOAA (incl. GFDL, PSL, GSL, NCEP/EMC)
A physics-constrained deep learning radiative transfer model over oceans recovers correct Jacobians, enabling radiance sensitivities for satellite data assimilation.
Physics constraint Deep Learning based radiative transfer model
In one sentence. A physics-constrained deep learning radiative transfer model over oceans recovers correct Jacobians, enabling radiance sensitivities for satellite data assimilation.
Labels
- Topic
- Observations & remote sensing, Data assimilation
- Type
- New model or method
- Method
- Physics-informed / physics-constrained
- Domain
- Global
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.1364/oe.493818 OpenAlex:W4380627205
- Added
- 2026-10-22
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