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Accuracy evaluation of the satellite thermal infrared radiometric calibration method based on ERA5 ocean re-analysis data

  • role： First author第一作者
  • Affiliation：

    Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

    School of Optoelectronics, University of Chinese Academy of Sciences, Beijing 100049, China

  • Email：xueyanan19@mails.ucas.ac.cn
  • Introduction：薛亚楠，研究方向为遥感图像处理与应用。E-mail： xueyanan19@mails.ucas.ac.cn
XUE Yanan12,  
  • Affiliation：

    Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

MA Lingling1,  
  • role： Corresponding author通信作者
  • Affiliation：

    Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

  • Email：wangning@aircas.ac.cn
  • Introduction：王宁，研究方向为热红外遥感、高光谱遥感以及遥感载荷定标。E-mail： wangning@aircas.ac.cn
WANG Ning1*,  
  • Affiliation：

    Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

LI Kun1,  
  • Affiliation：

    Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

WANG Xinhong1,  
  • Affiliation：

    China Centre for Resources Satellite Date and Application, Beijing 100094, China

HAN Qijin3,  
  • Affiliation：

    Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

QIAN Yonggang1,  
  • Affiliation：

    Taiyuan University of Technology, Taiyuan 030024, China

LI Dacheng4

résumé

Thermal infrared radiometric calibration of satellite sensors is an important prerequisite of quantitative remote sensing. An appropriate radiometric calibration source ensures high-frequency, high-precision calibration of satellite sensors and guarantees observation stability during the on-orbit stage. Re-analysis data provide global surface and atmospheric data with a fixed resolution, and they are crucial to climate applications. The feasibility of using re-analysis data as a reference source for radiometric calibration is worthy of being studied. In this study, the ERA5 re-analysis data of the European Center for Medium-range Weather Forecasting were used. Argo buoy Sea Surface Temperature (SST) and Terra-MODIS L2 SST daily products were employed to verify the sea surface skin temperature (SSTskin) of ERA5. The MODIS-observed brightness temperature was used to verify the Top Of Atmosphere (TOA) simulation with the support of ERA5 SSTskin and atmospheric profile data. Results showed that the Mean Bias Error (MBE) between ERA5 SSTskin and Argo SST was -0.31 K, and the MBE between ERA5 SSTskin and MODIS SST was -0.38 K. The former temperature difference was more stable than the latter. The root mean square error between the simulated TOA brightness temperatures and the MODIS observations was also -0.38 K. In addition, some meteorological factors, such as wind speed, total column water vapor, and ocean wave height, were used to analyze the correlation between the SSTskin differences and TOA brightness temperature. Overall, under the conditions of medium wind speed of 6—16 m/s, total column water vapor of less than 7.0 g/cm2, and ocean wave height of 0.6—3 m, the difference between SSTskin and TOA brightness temperature was small. These findings can provide an accurate basis for the use of re-analysis data as a reference source in thermal infrared radiometric calibration.

mots-clés

re-analysis data;sea surface skin temperature;top of atmosphere brightness temperature;radiometric calibration reference

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