The role of soil moisture and surface- and subsurface water flows on predictability of convection (A05)

将研究这样一种假设，即通过在数值天气预报模式中对陆地水文过程进行更复杂的处理，可以改善对流降水的可预测性。该方法将与随机边界层参数化方法进行比较和结合，以解释地表和地下侧向水流引起的陆地-大气交换变率。这将使对土壤湿度过程的物理增强表示的关键大气敏感性得以评估。

The hypothesis that improvements in convective precipitation predictability can be achieved by a more sophisticated treatment of terrestrial hydrological processes in numerical weather prediction models will be investigated. This method will be compared and combined with a stochastic boundary layer parameterization method to account for land-atmosphere exchange variability originating from surface and subsurface lateral water flows. This will enable the critical atmospheric sensitivities to a physically enhanced representation of soil-moisture processes to be assessed.