Climate model forecast biases assessed with a perturbed physics ensemble
Perturbed physics ensembles have often been used to analyse long-timescale climate model behaviour, but have been used less often to study model processes on shorter timescales. We combine a transient perturbed physics ensemble with a set of initialised forecasts to deduce regional process errors pr...
Main Authors: | Sparrow, S, Wallom, D, Mulholland, D, Haines, K |
---|---|
Formato: | Journal article |
Publicado: |
Springer
2016
|
Títulos similares
-
Reducing climate model biases by exploring parameter space with large ensembles of climate model simulations and statistical emulation
por: Li, S, et al.
Publicado: (2019) -
Finding ocean states that are consistent with observations from a perturbed physics parameter ensemble
por: Sparrow, S, et al.
Publicado: (2018) -
OpenIFS@home version 1: a citizen science project for ensemble weather and climate forecasting
por: S. Sparrow, et al.
Publicado: (2021-06-01) -
Reducing climate model biases by exploring parameter space with large ensembles of climate model simulations and statistical emulation
por: S. Li, et al.
Publicado: (2019-07-01) -
Perturbed Biology and Physics Signatures in a 1-D Ocean Biogeochemical Model Ensemble
por: Prima Anugerahanti, et al.
Publicado: (2020-07-01)