A High-Precision Sub-Grid Parameterization Scheme for Clear-Sky Direct Solar Radiation in Complex Terrain—Part II: Considering Atmospheric Transparency Differences in Sub-Grid; Pre-Research for Application

Author:

Li Changyi1ORCID,Chen Bin234,Wu Wei1,Chen Yanan1ORCID,Feng Guili1ORCID,Wen Xiaopei1

Affiliation:

1. Shandong Institute of Meteorological Sciences, Jinan 250031, China

2. Institute of Carbon Neutrality, Qilu Zhongke, Jinan 251401, China

3. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China

4. Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

Abstract

Existing sub-grid parameterization schemes for clear-sky direct solar radiation (SPS-CSDSR) assume that the sub-grid cells have the same atmospheric transparency. This study shows that in undulating terrain, significant errors can occur when the sub-grid is in turbid weather or partly above the cloud top. A correction factor was proposed. It can effectively eliminate errors under a cloudless sky and can reduce some errors when part of the sub-grid is above the cloud or fog top. For atmospheric models with high horizontal resolution, example test verification shows that the cast shadowless coverage method can lead to large errors. It should no longer be used based on current computing power. These improvements and the high-precision fast terrain occlusion algorithm in Part I will allow SPS-CSDSR to achieve unprecedented high accuracy. Based on the proposed daily interpolation method, the high-precision SPS-CSDSR is also feasible for regional climate simulation. The analysis pointed out that the sub-grid terrain radiative effect (STRE) is distributed over inclined surfaces with larger areas and at different heights. Existing methods of coupling STRE on one flat surface have certain physical drawbacks. This paper suggests introducing parameterization of STRE at different altitudes and improving the coupling of land–air.

Funder

International Partnership Program of the Chinese Academy of Sciences

China Meteorological Administration Innovation Development Project

Shandong Provincial Natural Science Foundation

Publisher

MDPI AG

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