paper
2023
Sub-seasonal to seasonal
Applications & impacts New model or method
Classical ML (trees, GP, linear, kernels)2 weeks–2 monthsNOAA (incl. GFDL, PSL, GSL, NCEP/EMC) Journal
2023-05-25
047
May 2023
Cameron C. Lee, Scott Christopher Sheridan, Gregory Dusek et al.
Artificial Intelligence for the Earth Systems
NOAA (incl. GFDL, PSL, GSL, NCEP/EMC)
Uses atmospheric circulation patterns as inputs to ANN models (NARX, PLANN) for monthly to 9-month sea level anomaly forecasts, outperforming post-processed NWP and climatology at US sites.
Atmospheric Pattern–Based Predictions of S2S Sea Level Anomalies for Two Selected U.S. Locations
In one sentence. Uses atmospheric circulation patterns as inputs to ANN models (NARX, PLANN) for monthly to 9-month sea level anomaly forecasts, outperforming post-processed NWP and climatology at US sites.
Labels
- Topic
- Sub-seasonal to seasonal, Applications & impacts
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 2 weeks–2 months
- Domain
- Local / station
- Data
- NWP analysis or forecasts (IFS, GFS, ...), Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1175/aies-d-22-0057.1 OpenAlex:W4378175532
- Added
- 2026-10-22
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