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Production and validation of FY-3C VIRR total precipitable water products

  • role： First author第一作者
  • Affiliation：

    Key Laboratory of Radiometric Calibration and Validation for Environment Satellites, National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China

  • Email：hujy@cma.gov.cn
  • Introduction：胡菊旸(1987—　)，女，硕士研究生，研究方向为红外定量遥感的理论和应用。E-mail：hujy@cma.gov.cn
Juyang HU1,  
  • role： Corresponding author通信作者
  • Affiliation：

    Key Laboratory of Radiometric Calibration and Validation for Environment Satellites, National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China

  • Email：tangsh@cma.gov.cn
  • Introduction：唐世浩(1971—　)，男，研究员，研究方向为卫星遥感相关理论和应用。E-mail：tangsh@cma.gov.cn
Shihao TANG1*,  
  • Affiliation：

    Chengdu University of Information Technology, Chengdu 610225, China

Hailei LIU2,  
  • Affiliation：

    Key Laboratory of Radiometric Calibration and Validation for Environment Satellites, National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China

Jing ZHENG1

résumé

Total Precipitable Water (TPW) products, which are derived from satellite FY-3C Visible and Infrared Radiometer (VIRR) infrared split-window information, have been officially put into operation. High-quality FY-3C TPWs could be used in many fields, such as weather analysis, climate study, and atmospheric correction in land surface remote sensing. The retrieval method of TPW products has only been introduced briefly, and product assessments have yet to be conducted. Thus, we compared the product accuracies and stabilities of MODIS Terra infrared TPWs and radiosonde TPWs. The global distribution of FY-3C VIRR TPW was evaluated and compared with that of MODIS Terra monthly infrared TPW in March 2015. In addition, we selected two months (March to April 2015) of radiosonde TPWs to calculate FY-3C TPW errors and analyze the features of global errors, errors changed with water vapor, error day–night distributions, and error space distributions. At the same time, the same accuracy analyses for MODIS Terra daily TPWs were conducted by comparing them with the same radiosonde TPWs. The results can be used as reference for FY-3C TPW accuracy evaluations. Moreover, monthly RMSEs of FY-3C TPWs from January 2015 to July 2016, as well as monthly RMSEs of MODIS TPWs, were calculated by comparing with radiosonde data. The variations of two time series RMSEs were compared to assess FY-3C TPW stabilities relative to MODIS TPWs. FY-3C VIRR TPW is generally consistent with MODIS monthly TPW in space distribution. The differences between the two TPWs are smaller than 30° S to the south pole and 30° N to the north pole and relatively larger between 30° S and 30° N. The verifications of VIRR TPW, which were conducted by comparing with two-month radiosonde data, show that the bias, RMSE, and correlation coefficient are –0.16 mm, 5.36 mm, and 0.85, respectively, which are slightly better than the errors of MODIS TPWs, except in dry atmosphere (TPW<10 mm). Analyses of errors changed with water vapor indicate that the relative errors of VIRR TPWs are less than 20% when water vapor is more than 30 mm, which is much higher in dry atmosphere. In addition, in dry (TPW<10 mm) and wet (TPW>55 mm) atmospheres, the relative errors of VIRR TPWs are smaller than those of MODIS TPWs, whereas the differences between the two TPWs are small when TPWs are between 30 mm and 50 mm. The performances of VIRR and MODIS TPWs are better at night than at daytime. Moreover, the qualities of VIRR TPW are better than those of MODIS TPWs at daytime but slightly worse at night. Biases of VIRR TPWs mostly sit at ±2 mm. RMSEs are small in middle- and high-latitude areas and large in lower-latitude areas. Furthermore, most biases and RMSEs of VIRR TPWs in the maps are better than those of MODIS TPWs but worse near the coastlines. The mean and standard deviation of 19 VIRR TPW monthly RMSEs are 5.63 and 0.54 mm, whereas those of MODIS TPWs are 6.19 and 1.33 mm, respectively. These data indicate that the qualities of VIRR TPWs are more stable than those of MODIS TPWs. Given their good agreement with radiosonde data and higher precision than MODIS TPWs, FY-3C VIRR TPW products have good accuracies. In addition, FY-3C VIRR TPWs have better stability than MODIS TPWs. With high precision and stable qualities, FY-3C VIRR TPW products have wide application capabilities.

mots-clés

FY-3C/VIRR;infrared split window;total precipitable water;radiosonde;MODIS infrared water vapor product

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