摘要
选取2015年6月—2018年8月玛多站观测资料作为驱动CLM5.0(Community Land Model)模式的强迫场数据,应用CLM5.0模式中不同土壤分层方案,对这一时段玛多站土壤温湿变化特征进行模拟,并检验了模拟效果。结果表明:(1)对于土壤温度,CLM5.0模式的4种土壤分层方案均能很好地模拟出一年中玛多站不同深度土壤温度的季节变化趋势,浅层土壤温度模拟值与观测值相关性更高,深层土壤温度模拟值的变化幅度相对较小且曲线较光滑。4种分层方案中,20层方案对土壤温度的模拟效果最好,平均相关系数为0.942。(2)对于土壤湿度,4种土壤分层方案均能较好地模拟出各层土壤湿度的季节变化和日变化趋势,但较观测值都有不同程度的偏差。20层方案对土壤湿度的模拟效果更好,平均相关系数为0.730。
The observation data of Maduo station from June 2015 to August 2018 were used as the forcing field data to drive CLM5.0(Community Land Model)model,and the soil temperature and humidity changes of Maduo station from June 2017 to August 2018 were simulated by using different soil stratification schemes in the CLM5.0 model,and compared with the observations.The results show:(1)For the simulation of soil temperature,the four soil stratification schemes of CLM5.0 model could well simulate the seasonal variation trend of soil temperature at different depths of Maduo Station in a year,the shallow simulation value was more correlated with the observed value,the temperature change amplitude of the deep soil was relatively small,the curve was smoother,and the 20-layer scheme of the four stratification schemes had the best simulation effect on soil temperature,with an average correlation coefficient of 0.942.(2)For the simulation of soil moisture,the four soil stratification schemes could better simulate the seasonal changes and diurnal trends of soil moisture in each layer,but there were different degrees of deviation from the observed values.The 20-layer scheme had a better simulation effect on soil moisture,and the average correlation coefficient was 0.730.
作者
包逸群
吕世华
刘子莎
游辉奇
杨凡
BAO Yiqun;LYU Shihua;LIU Zisha;YOU Huiqi;YANG Fan(School of Atmospheric Sciences/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province,Chengdu University of Information Technology,Chengdu 610225,China)
出处
《高原山地气象研究》
2024年第3期9-16,共8页
Plateau and Mountain Meteorology Research
基金
国家自然科学基金面上项目(42275080)
第二次青藏高原综合科学考察研究项目(2019QZKK0103)。