Surface Layer Modeling Study in Non-Stationary Processes

在气-地相互作用中，地表条件控制着大气表层和次表层土壤（水）层。然而，以往的研究大多是针对平稳过程，认为平稳过程容易与理论模型相匹配。然而，在真实的大气条件下，非平稳过程是最主要的，需要更详细的研究，以提高气候模式的预测。在本研究中，我们观测到了各种各样的非定常过程，包括太阳辐射、降水、云量等。通过对不同地表条件（土壤、水体、植被等）的长期观测，获得了系统的地表响应特征。根据这些实验结果，我们配置了表面模式，以应用于各种本地环流模式。这些研究成果已在多个学术团体和期刊上发表，但仍需进一步研究，以改进包括更复杂过程的表面模型。

In the atmosphere-surface interaction, the condition of the earth surface controls the atmospheric surface layer and sub-surface soil (water) layer. However, most of the previous studies mainly deal with stationary process, which is considered as easy to match with theoretical models. While, in the real atmospheric condition, non-stationary processes are most dominant and should be studied more detail to improve climatic model prediction. In the present study, we have observed a variety of non-stationary processes, including solar radiation, precipitation, cloudiness and so forth. The surface response can be variable with surface condition, such as soil, water or plant canopies.A long term observations were carried out over various surfaces and systematic response characteristics were realized experimentally. Based on these experimental results, we have configured surface models to be applied various local circulation models. These scientific results were reported and published in many academic societies or journals.Further studied should be continued to improve surface models including more complicated processes.