Infrared and Laser Engineering, Volume. 51, Issue 9, 20210838(2022)
Quality assessment of FY-4 A’s geostationary interferometric infrared sounder observations data
[1] D P Dee. Bias and data assimilation. Quarterly Journal of the Royal Meteorological Society, 131, 3323-3343(2005).
[2] R W Saunders, T A Blackmore, B Candy, et al. Monitoring satellite radiance biases using NWP models. IEEE Trans Geosci Remote Sensing, 51, 1124-1138(2013).
[3] A D Collard, A P McNally. The assimilation of infrared atmospheric sounding interferometer radiances at ECMWF. Quarterly Journal of the Royal Meteorological Society, 135, 1044-1058(2009).
[4] A Smith, N Atkinson, W Bell, et al. An initial assessment of observations from the Suomi-NPP satellite: data from the Cross-track Infrared Sounder (CrIS). Atmospheric Science Letters, 16, 260-266(2015).
[5] X Li, X L Zou. Bias characterization of CrIS radiances at 399 selected channels with respect to NWP model simulations. Atmospheric Research, 196, 164-181(2017).
[6] J Yang, Z Q Zhang, C Y Wei, et al. Introducing the new generation of Chinese geostationary weather satellites, Fengyun-4. Bulletin of the American Meteorological Society, 98, 1637-1658(2017).
[7] X Feng, L B Li, B Y Cheng, et al. Post-launch calibration and validation of the Geostationary Interferometric Infrared Sounder (GIIRS) on FY-4 A. Journal of Infrared and Millimeter Waves, 38, 648-654(2019).
[8] R Y Yin, W Han, Z Q Gao, et al. The evaluation of FY-4 A’s geostationary interferometric infrared sounder (GIIRS) long-wave temperature sounding channels using the GRAPES global 4 D-Var. Quarterly Journal of the Royal Meteorological Society, 146, 1-18(2020).
[9] Y Han, H Revercomb, M Cromp, et al. Suomi NPP CrIS measurements, sensor data record algorithm, calibration and validation activities, and record data quality. Journal of Geophysical research:Atmospheres, 118, 12734-12748(2013).
[10] W L Kan, P M Dong, Z Q Zhang, et al. Development and application of ARMS fast transmittance model for GIIRS data. Journal of Quantitative Spectroscopy and Radiative Transfer, 251, 107025(2020).
[11] [11] Ren H. Assimilation of FY4 AGIIRS infrared water vap channels radiances its application in regional Numerical Weather Prediction[D]. Nanjing: Nanjing University of Infmation Science Technology, 2019. (in Chinese)
[12] X W Geng, J Z Min, C Yang, et al. Analysis of FY-4 A AGRI radiance data bias characteristics and a correction experiment. Chinese Journal of Atmospheric Sciences, 44, 679-694(2020).
[13] X Zhuge, X Zou, F Weng, et al. Dependence of simulation biases at AHI surface-sensitive channels on land surface emissivity over China. Journal of Atmospheric and Oceanic Technology, 35, 1283-1297(2018).
[14] A Wang, M Barlage, X Zeng, et al. Comparison of land skin temperature from a land model, remote sensing, and in situ measurement. Journal of Geophysical Research: Atmospheres, 119, 3093-3106(2014).
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Yurun Wang, Li Guan. Quality assessment of FY-4 A’s geostationary interferometric infrared sounder observations data[J]. Infrared and Laser Engineering, 2022, 51(9): 20210838
Category: Infrared technology and application
Received: Nov. 10, 2021
Accepted: --
Published Online: Jan. 6, 2023
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