paper
2019
Observations & remote sensing
Data assimilation Review, survey or tutorial
OtherColorado State University (incl. CIRA)NOAA (incl. GFDL, PSL, GSL, NCEP/EMC) Journal
2019-12-01
061
Dec 2019
Sid-Ahmed Boukabara, Vladimir Krasnopolsky, Jebb Q. Stewart et al.
Bulletin of the American Meteorological Society
Colorado State University (incl. CIRA), NOAA (incl. GFDL, PSL, GSL, NCEP/EMC)
Review arguing modern AI can augment or replace parts of satellite remote sensing and NWP processing chains, from observations to forecasts.
Leveraging Modern Artificial Intelligence for Remote Sensing and NWP: Benefits and Challenges
In one sentence. Review arguing modern AI can augment or replace parts of satellite remote sensing and NWP processing chains, from observations to forecasts.
Labels
- Topic
- Observations & remote sensing, Data assimilation
- Type
- Review, survey or tutorial
- Method
- Other
- Domain
- Global
- Data
- Satellite, NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1175/bams-d-18-0324.1 OpenAlex:W2981217223
- Added
- 2026-10-22
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