Single precision in weather forecasting models: An evaluation with the IFS
Earth’s climate is a nonlinear dynamical system with scale-dependent Lyapunov exponents. As such, an important theoretical question for modeling weather and climate is how much real information is carried in a model’s physical variables as a function of scale and variable type. Answering this questi...
Main Authors: | Váňa, F, Düben, P, Lang, S, Palmer, T, Leutbecher, M, Salmond, D, Carver, G |
---|---|
格式: | Journal article |
语言: | English |
出版: |
American Meteorological Society
2017
|
相似书籍
-
Scale-selective precision for weather and climate forecasting
由: Chantry, M, et al.
出版: (2019) -
Improving weather forecast skill through reduced precision data assimilation
由: Hatfield, S, et al.
出版: (2017) -
A study of reduced numerical precision to make superparameterization more competitive using a hardware emulator in the OpenIFS model
由: Düben, P, et al.
出版: (2017) -
A study of reduced numerical precision to make superparameterization more competitive using a hardware emulator in the OpenIFS model
由: Peter D. Düben, et al.
出版: (2017-03-01) -
OpenIFS@home version 1: a citizen science project for ensemble weather and climate forecasting
由: S. Sparrow, et al.
出版: (2021-06-01)