ML4WX

Post-processing & calibration

Post-processing of the North American multi-model ensemble for monthly forecast of precipitation based on neural network models

Morteza Pakdaman, Yashar Falamarzi, Iman Babaeian, Zohreh Javanshiri

Theoretical and Applied Climatology ·

Paper

In one sentence. Neural networks post-process the North American multi-model ensemble to improve monthly precipitation forecasts; abstract unavailable.

Labels

Topic
Post-processing & calibration, Sub-seasonal to seasonal
Type
New model or method
Method
Classical ML (trees, GP, linear, kernels)
Time scale
Seasonal to annual
Domain
Regional
Data
NWP analysis or forecasts (IFS, GFS, ...)
Status
Research
Identifiers
DOI:10.1007/s00704-020-03211-6 OpenAlex:W3019859214
Added
2026-10-22

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