基于Ameriflux通量观测数据的Hi-GLASS潜热通量产品验证  

Validation of Hi-GLASS products for latent heat flux based on Ameriflux observation data

作　　者：范佳慧 姚云军[1] 杨军明 于瑞阳 刘露 张学艺 谢紫菁[1] 宁静 FAN Jiahui;YAO Yunjun;YANG Junming;YU Ruiyang;LIU Lu;ZHANG Xueyi;XIE Zijing;NING Jing(State Key Laboratory of Remote Sensing Science,School of Geography,Beijing Normal University,Beijing 100875,China;Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions,CMA,Yinchuan 750002,China)

机构地区：[1]北京师范大学遥感科学国家重点实验室,地理学与遥感科学学院,北京100875 [2]中国气象局旱区特色农业气象灾害监测预警与风险管理重点实验室,银川750002

出　　处：《自然资源遥感》2024年第1期146-153,共8页Remote Sensing for Natural Resources

基　　金：国家自然科学基金重大项目“地表异常遥感探测与即时诊断方法”(编号:42192580)第一课题“地表异常遥感响应特征与语义表征”(编号:42192581);国家自然科学基金面上项目“基于多星多尺度遥感的地表潜热通量智能化融合算法研究”(编号:42171310)共同资助。

摘　　要：潜热通量产品的验证与分析对于研究气候变化及能量循环具有重要意义。全球陆表高分辨率蒸散产品(high resolution global lAnd surface evapotranspiration product,Hi-GLASS ET)融合了5种传统蒸散算法,能够生产出较高精度的陆表潜热通量产品,但目前没有针对此产品的验证研究。利用Ameriflux通量观测站点的潜热通量观测值与相应的Hi-GLASS陆表潜热通量产品估算值进行对比,获取多组有效验证数据。验证结果显示,所选站点实际观测值与产品估算值的决定系数(R 2)为0.6,均方根误差(RMSE)为34.4 W/m^(2),平均偏差(Bias)为-13.4 W/m^(2),克林-古普塔效率(Kling-Gupta efficiency,KGE)为0.49,Hi-GLASS潜热通量产品具有较高的精度,算法的拟合结果较好;此外,空间分布也表明Hi-GLASS陆表潜热通量产品符合正常的自然规律。由于数据获取的局限性,仅采用了美国地区18个站点数据对产品进行验证,在其他地区仍需进一步验证。The validation and analysis of latent heat flux products are critical for research on climate change and energy circulation.High-resolution global land surface satellite evapotranspiration(Hi-GLASS ET)products,which integrate five traditional evapotranspiration algorithms,can produce high-precision products for land surface latent heat flux.However,these products are yet to be validated.This study obtained multiple sets of valid validation data by comparing the latent heat flux observed values from Ameriflux flux observation sites with the corresponding estimated values of Hi-GLASS land surface latent heat flux products.The validation results yielded a squared correlation coefficient(R 2)of 0.6,a root mean square error(RMSE)of 34.4 W/m^(2),an average bias of-13.4 W/m^(2),and Kling-Gupta efficiency(KGE)of 0.49.These suggest that Hi-GLASS latent heat flux products boast high precision and that their algorithms enjoy satisfactory fitting results.In addition,spatial distributions imply that Hi-GLASS latent heat flux products conform to normal natural laws.Due to data acquisition limitations,the validation of this study was conducted based on data from only 18 sites in the U.S.,and further validation using data from other areas is required.

关 键 词：陆表潜热通量 Ameriflux通量站点 Hi-GLASS陆表潜热通量产品 精度验证 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]