paper
2019
Sub-seasonal to seasonal
Climate analysis & attribution Application study
Classical ML (trees, GP, linear, kernels)2 weeks–2 monthsColorado State University (incl. CIRA) Journal
2019-12-16
022
Dec 2019
Kai‐Chih Tseng, Elizabeth A. Barnes, Eric Daniel Maloney
Journal of Climate
Colorado State University (incl. CIRA)
Logistic regression with linear baroclinic model simulations shows the past 15 days of MJO activity improve midlatitude circulation predictability beyond 15 days ahead.
The Importance of Past MJO Activity in Determining the Future State of the Midlatitude Circulation
In one sentence. Logistic regression with linear baroclinic model simulations shows the past 15 days of MJO activity improve midlatitude circulation predictability beyond 15 days ahead.
Labels
- Topic
- Sub-seasonal to seasonal, Climate analysis & attribution
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 2 weeks–2 months
- Domain
- Global
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1175/jcli-d-19-0512.1 OpenAlex:W2996173156
- Added
- 2026-10-22
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