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作 者:李笑 赵林 李艳 李祥飞 赵建婷 肖敏轩 Li Xiao;Zhao Lin;Li Yan;Li Xiangfei;Zhao Jianting;Xiao Minxuan(School of Geographic Sciences,Nanjing University of Information Engineering,Nanjing 210044,China)
机构地区:[1]南京信息工程大学地理科学学院,南京210044
出 处:《太阳能学报》2025年第2期124-134,共11页Acta Energiae Solaris Sinica
基 金:国家自然科学基金(42301157;41931180);江苏省基础研究计划自然科学基金(BK20230429)。
摘 要:利用观测资料结合遥感数据,基于半阶导数法估算青藏高原多年冻土区唐古拉和西大滩两个观测点2010—2012年的地表土壤热通量,并与“观测值”(利用10 cm土壤热通量和5 cm土壤温度观测数据计算得到的地表土壤热通量)及已有的3种遥感估算方法(GLEAM、PM-RS和组合法)进行对比分析。结果表明:1)半阶导数法估算的地表土壤热通量(G_(0))与观测G_(0)具有较好的一致性,估算精度高;2)与已有的GLEAM、PM-RS和组合法相比,半阶导数法表现更好,估算的两个站点G_(0)的相关系数(R)分别为0.85和0.81,偏差(Bias)分别为-0.70和0.08 W/m^(2),均方根误差(RMSE)分别为5.78和8.79 W/m^(2),平均绝对误差(MAE)分别为4.22和6.81 W/m^(2)。相较于其他方法,半阶导数法的优势在于物理机制明确,参数设置简洁,仅需单层地表温度值和土壤热属性数据作为模型输入。The ground heat fluxes at two observation sites,TGL and XDT,in the permafrost zone of the Qinghai-Tibet Plateau from 2010 to 2012 are estimated based on the half-order method using observations combined with remotely sensed data,and compared and analyzed with“observations”(the ground heat flux is calculated from the observations of the soil heat flux at depth of 10 cm and the soil temperature at depth of 5 cm)and the three remote sensing estimation methods(GLEAM,PM-RS,and the combined method).The results show that 1)the G_(0) estimated by the half-order method is in good agreement with the observed G_(0),and the estimation accuracy is high;2)the half-order method performs better than the GLEAM,PM-RS and the combined methods,with the R of the estimated G_(0) for the two sites of 0.85 and 0.81,respectively,and the Bias of-0.70 and 0.08 W/m^(2),respectively,and the RMSE of 5.78 and 8.79 W/m^(2)and MAE of 4.22and 6.81 W/m^(2),respectively.Compared to other methods,the half-order method has the advantage of a clear physical mechanism,concise parameterization by requiring only single-layer surface temperature values and soil thermal property data as model inputs.
分 类 号:P422.4[天文地球—大气科学及气象学]
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