摘要
地表温度是地表与大气热量平衡中的关键参数,在气候、生态、水文等研究领域发挥着重要作用。选取2019年11月—2020年10月风云三号D星(FY-3D)微波成像仪亮温数据,对其进行数据重采样和异常像元剔除等预处理,采用UMT(University of Montana land surface retrieval algorithm,蒙大拿大学地表反演算法)微波反演算法中的物理模型反演中国区域地表温度,并利用FY-3D微波成像仪业务地表温度产品以及中国地面国家交换站的166个站点实测数据对反演结果进行了验证与分析。结果表明:同FY-3D微波成像仪业务地表温度产品相比,UMT反演结果在保证反演精度的同时,反演的数据量得到增加;在水陆混合像元地表温度反演结果验证中,UMT反演结果验证精度随像元内开放水体比例增大而提高,在[0.1,0.2)开放水体比例区间,UMT反演结果均方根误差与无偏均方根误差达到最小值,分别为4.239、4.233℃;当像元内开放水体比例较大时,UMT反演结果仍能较好地反映站点实测数据的时间序列变化;UMT反演结果能够反映中国地区地表温度的变化趋势与分布模式,同时补足了FY-3D微波成像仪业务地表温度产品在有较高开放水体比例像元内的数据缺失。
Land surface temperature(LST)is a key parameter in the heat balance between surface and atmosphere,and plays an important role in climate,ecology,hydrology and other related research fields.In this paper,the brightness temperature data of the FY-3D microwave radiation imager(MWRI)from November 2019 to October 2020 are selected and preprocessed,including data resampling and abnormal pixel elimination.Next,the physical model of the UMT microwave retrieval algorithm is used to retrieve the surface temperature in China,and the retrieval results are verified and analyzed using the surface temperature products of the FY-3D microwave radiation imager and the actual measured values of 166 stations at the China Ground National Exchange Station.The results show that,compared with the surface temperature products of FY-3D microwave radiation imager,the UMT retrieval results can ensure the same retrieval accuracy,while also increasing the amount of data that can be acquired.In addition,in the verification of surface temperature retrieval results,including open water pixels,the accuracy of the UMT retrieval results increases with the increase in the fraction of open water.In the interval of(0.1-0.2),the root mean square error and unbiased root mean square error of the UMT retrieval results are the minimum,at 4.239℃and 4.233℃,respectively.Even when the fraction of open water is large,the UMT retrieval results can still reflect the time series changes of the actual measured values.Finally,the UMT retrieval results can reflect the change trend and distribution pattern of land surface temperature in China,and can better supplement the data that missing within the area of FY-3D microwave radiation imager surface temperature products.
作者
王博
郭鹏
孟春红
王琦
WANG Bo;GUO Peng;MENG Chunhong;WANG Qi(College of Information Science and Engineering,Shandong Agricultural University,Taian 271018,China)
出处
《大气科学学报》
CSCD
北大核心
2022年第1期112-123,共12页
Transactions of Atmospheric Sciences
基金
国家自然科学基金资助项目(41501409)
山东省自然科学基金资助项目(ZR2020MD017)。
关键词
被动微波遥感
地表温度
FY-3D
UMT算法
开放水体比例
passive microwave remote sensing
land surface temperature
FY-3D
UMT algorithm
fraction of open water
