基于BCC_AVIM陆面潜热通量参数化方案敏感性研究 

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  • 1. 成都信息工程大学大气科学学院/成都平原城市气象与环境四川省野外科学观测研究站,四川 成都 610225
    2. 中国气象局地球系统数值预报中心,北京 100081
    3. 中国科学院西北生态环境资源研究院/冰冻圈科学与冻土工程重点实验室,甘肃 兰州 730000
    4. 成都信息工程大学光电工程学院,四川 成都 610225

网络出版日期: 2025-04-11

基金资助

国家重点研发计划课题(2023YFC3705702);国家自然科学基金项目(42275131

Sensitivity Study of a Parameterised Scheme for Land Surface Latent Heat Flux based on BCC_AVIM

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  • 1. College of Atmospheric SciencesChengdu University of Information Technology /Chengdu Plain Urban Meteorology and Environment Sichuan Provincial Field Scientific Observation and Research StationChengdu 610225SichuanChina
    2. Earth System Numerical Prediction CenterChina Meteorological AdministrationBeijing 100081China
    3. Key Laboratory of Cryospheric Science and Frozen Soil EngineeringNorthwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000GansuChina
    4. College of Optoelectronic EngineeringChengdu University of Information Technology /Chengdu Plain Urban Meteorology and Environment Sichuan Provincial Field Scientific Observation and Research StationChengdu 610225SichuanChina

Online published: 2025-04-11

摘要

BCC_AVIM模式在陆面潜热通量模拟中忽略了分子扩散速率、植被凋落物以及干燥表层厚度对水汽传导率的影响,基于此,本文针对陆面潜热通量模拟考虑了上述详细的物理过程,并研究这些过程对模拟的影响。考虑的物理过程主要包括:(1)分子经土壤孔隙到干燥表层的扩散速率以及植物凋落覆盖物对水汽传导的影响(下称S-Z方案);(2)土壤干燥表层厚度对水汽传导的影响(下称S-L方案);(3)综合考虑 S-Z方案与 S-L方案中的物理过程对水汽传导的影响,下称 SZ-SL方案。为更好地研究其在不同下垫面的敏感性,选取了平坦均匀的高寒草甸玛曲站和地形复杂的川南林区四峨山站观测资料对不同参数化方案的模拟效应进行检验。结果如下:(1BCC_AVIM模式能较好再现四峨山站和玛曲站土壤温湿度、感潜热通量等要素的变化趋势,但模拟值与实测值存在一定程度偏差;(2)在BCC_AVIM模式的基础上,引入更详细的物理过程,两个站点的潜热通量模拟值得到了显著改善,其中S-Z方案的模拟结果与实测值最为接近,四峨山站皮尔逊相关系数(R)由0. 68提升至0. 74,平均绝对百分误差(MAPE)降低 10. 7%,均方根误差(RMSE)减少 4 W·m-2;玛曲站 R 0. 15 提升至 0. 62MAPE 降低 5. 7%RMSE 减少 11. 2 W·m-2;(3)两个站点土壤温湿度模拟结果显示,相较于原有方案,考虑更详细的物理过程后的方案,升高了土壤温度、土壤湿度模拟值,增强了与实测值的相关性,其中S-Z方案为两个站点土壤温度模拟最佳方案,S-L方案为四峨山站土壤湿度模拟最优参数化方案,SZ-SL方案为玛曲站土壤湿度模拟最优参数化方案;(4)通过考虑了更详细的物理过程,不仅显著提高了潜热通量的模拟准确度,同时也增强了对土壤温度和土壤湿度的模拟能力,但感热通量的改善程度仍然有限。

本文引用格式

林赵钰, 张 宇, 吴统文, 苏有琦, 王少影, 马湘宜 . 基于BCC_AVIM陆面潜热通量参数化方案敏感性研究 [J]. 高原气象, 0 : 1 . DOI: 10.7522/j.issn.1000-0534.2025.00021

Abstract

The BCC_AVIM model neglects the effects of molecular diffusion ratevegetation litter and dry sur‐ face layer thickness on water vapour conductivity in the simulation of latent heat fluxes at the land surface. Based on thisthis paper considers the above detailed physical processes for the simulation of latent heat fluxes at the land surfaceand focuses on the effects of these processes on the simulation. The physical processes considered mainly include1the diffusion rate of molecules through the soil pores to the drying surface layer and the effect of plant apoplastic cover on the water vapour conductivitySakaguchi and Zeng2009hereafter referred to as the S-Z scheme);(2the effect of the thickness of the drying surface layer of soil on the water vapour conductivitySwenson and Lawrence2014hereafter referred to as the S-L scheme);and3the effect of physical processes on water vapour conductivity in the combined S-Z and S-L schemeshereafter referred to as the SZ-SL scheme. In order to better study its sensitivity in different subsurfacesobservations from the flat and uniform al‐ pine meadow Maqu station and the complex topography of Si'e Mountain station in Southern Sichuan Forest were selected to examine the simulated effects of different parameterisation schemes. The results are as follows:(1The BCC_AVIM model can better reproduce the trends of soil temperature and humiditysensible latent heat fluxes and other elements at Si'e Mountain and Maqu stationsbut the simulated values deviate from the measured values to a certain extent;(2Based on the BCC_AVIM modelthe simulated latent heat fluxes at the two stations are significantly improved by the introduction of more detailed physical processeswith the simulated results of the S-Z scheme being the closest to the measured valuesand the simulated results of the S-Z scheme being the closest to the measured values. were closest to the measured valueswith the Pearson's correlation coefficientRof Si'e Mountain station improved from 0. 68 to 0. 74the mean absolute percentage errorMAPEreduced by 10. 7%and the root mean square errorRMSEreduced by 4. 0 W·m-2the R of Maqu station was improved from 0. 15 to 0. 62the MAPE was reduced by 5. 7%and the RMSE was reduced by 11. 2 W·m-2; (3the simulation results of the two stations' soil temperature and humidity simulation results show that com‐ pared with the original schemethe scheme after considering more detailed physical processes increases the simulated values of soil temperature and soil humidity and enhances the correlation with the measured valuesof which the S-Z scheme is the optimal scheme for soil temperature simulation at the two stationsthe S-L scheme is the optimal parameterization scheme for soil humidity simulation at Si'e Mountain stationand the SZ-SL scheme is the optimal parameterization scheme for soil moisture simulation at Maqu station. scheme;(4by considering more detailed physical processesnot only the simulation accuracy of latent heat fluxes is significantly improvedbut also the simulation ability of soil temperature and soil moisture is enhancedbut the improvement of sensible heat fluxes is still limited.

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