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...
Những tác giả chính: | Sparrow, S, Wallom, D, Mulholland, D, Haines, K |
---|---|
Định dạng: | Journal article |
Được phát hành: |
Springer
2016
|
Những quyển sách tương tự
-
Reducing climate model biases by exploring parameter space with large ensembles of climate model simulations and statistical emulation
Bằng: Li, S, et al.
Được phát hành: (2019) -
Finding ocean states that are consistent with observations from a perturbed physics parameter ensemble
Bằng: Sparrow, S, et al.
Được phát hành: (2018) -
Reducing climate model biases by exploring parameter space with large ensembles of climate model simulations and statistical emulation
Bằng: S. Li, et al.
Được phát hành: (2019-07-01) -
Perturbed Biology and Physics Signatures in a 1-D Ocean Biogeochemical Model Ensemble
Bằng: Prima Anugerahanti, et al.
Được phát hành: (2020-07-01) -
Initial state perturbations in ensemble forecasting
Bằng: L. Magnusson, et al.
Được phát hành: (2008-10-01)