Weather prediction and climate simulations need reliable parameterizations of turbulent fluxes in the stable surface layer. Especially in these conditions, the uncertainties of such parametrizations are still large. Most of them rely on the Monin-Obukhov similarity theory (MOST), for which universal stability functions (SFs) represent important ingredients. The SFs are nonlinear, if so, a numerical iteration of the MOST equations is required. Moreover, presently available SFs are significantly different at large stability. To simplify the calculations, a non-iterative parametrization of fluxes is derived and corresponding bulk transfer coefficients for momentum and heat for a package of five pairs of state-of-the-art SFs are proposed. For the first time, a parametrization of the related transfer coefficients is derived in a universal framework for all package members. The new parametrizations provide a basis for a cheap systematic study of the impact of surface layer turbulent fluxes in weather prediction and climate models.

中文翻译：

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气候和天气预报模型中近地表湍流通量非迭代参数化的通用方法

天气预报和气候模拟需要稳定表层中湍流通量的可靠参数化。特别是在这些条件下，这种参数化的不确定性仍然很大。它们中的大多数依赖于 Monin-Obukhov 相似理论 (MOST)，其中通用稳定性函数 (SF) 代表了重要的成分。SF 是非线性的，如果是这样，则需要对 MOST 方程进行数值迭代。此外，目前可用的 SF 在大稳定性方面有显着差异。为了简化计算，导出了通量的非迭代参数化，并提出了五对最先进的 SF 封装的动量和热量的相应体积传递系数。首次，相关传递系数的参数化是在所有包成员的通用框架中导出的。新的参数化为在天气预报和气候模型中对表层湍流通量的影响进行廉价的系统研究提供了基础。