Précédent|Prochain

Recalibration of the FY-3 microwave payload historical data records

  • role： First author第一作者
  • Affiliation：

    National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing 100081, China

    Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing 100081, China

    Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing 100081, China

  • Email：gusy@cma.gov.cn
  • Introduction：谷松岩，研究方向为星载微波仪器辐射定标及大气参数定量遥感。E-mail： gusy@cma.gov.cn
GU Songyan123,  
  • role： Corresponding author通信作者
  • Affiliation：

    National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing 100081, China

    Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing 100081, China

    Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing 100081, China

  • Email：guoyang@cma.gov.cn
  • Introduction：郭杨，研究方向为星载微波仪器辐射定标及应用。E-mail： guoyang@cma.gov.cn
GOU Yang123*,  
  • Affiliation：

    Institute of Atmospheric Science, Zhong Shan University, Zhuhai 519082, China

XIE Xinxin4,  
  • Affiliation：

    National Space Science Center, Chinese Academy of Sciences,Beijing 100190, China

HE Jieying5,  
  • Affiliation：

    National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing 100081, China

    Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing 100081, China

    Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing 100081, China

DOU Fangli123,  
  • Affiliation：

    National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing 100081, China

    Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing 100081, China

    Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing 100081, China

WU Qiong123,  
  • Affiliation：

    National Space Science Center, Chinese Academy of Sciences,Beijing 100190, China

WANG Zhenzhan5,  
  • Affiliation：

    National Space Science Center, Chinese Academy of Sciences,Beijing 100190, China

ZHANG Shengwei5,  
  • Affiliation：

    National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing 100081, China

    Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing 100081, China

    Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing 100081, China

AN Dawei123,  
  • Affiliation：

    National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing 100081, China

    Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing 100081, China

    Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing 100081, China

WU Shengli123,  
  • Affiliation：

    National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing 100081, China

    Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing 100081, China

    Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing 100081, China

ZHANG Peng123

résumé

This study focuses on the latest recalibration results of the historical data of domestic satellite microwave payload, which is a national key research and development plan, to apply the long-time passive microwave historical data from Chinese satellites to the study of climate and climate change. Chinese Feng Yun 3 series satellites (FY-3) have accumulated historical microwave remote sensing data of microwave radiometer imager (MWRI), microwave temperature sounder (MWTS), and microwave humidity sounder (MWHS) for more than 13 years from May 27, 2008. We have also completed the launch and operation of four satellites in two batches. During this period, the microwave payload data of FY-3 satellite played an active role in disaster prevention and mitigation and numerical weather forecast assimilation.Based on the review of the international satellite borne microwave radiometer historical data recalibration technology, the characteristics of the microwave load of FY-3 satellite is introduced, the common technologies of operational radiation calibration and historical data recalibration are summarized, and the microwave load of the FY-3 satellite that passes through the entire link radiation transfer simulation of the instrument system is expounded. After constructing the radiation correction model under special conditions in orbit, the technical route of rescaling historical data to eliminate the radiation difference between generations based on the international reference load, the basic operational status of the FY-3 microwave payload in orbit, and the research results of historical data recalibration are introduced.The long-time sequence L1 scientific dataset of FY-3 microwave generated by recalibration is cross compared with similar international loads. Results show that the RMSE of long-time series brightness temperature data of oxygen absorption channel is 0.77 k, and the standard deviation is 0.28 k. After rescaling the water vapor absorption channel, the optimal RMSE of the long-time series data is 0.80 k, and the standard deviation is 0.20 k. In the window channel, considering the 23.8 ghz V polarization channel as an example, the RMSE of the long-time series data after re calibration is the best up to 1.29 k, and the standard deviation is 0.15k. After calibration, the maximum RMSE shall not exceed 1.5 k.Conclusion The microwave load of the FY-3 satellite has very good radiation consistency with the reference load. The recalibration results of the historical data of the FY-3 satellite microwave load provide basic support for the subsequent establishment of the FY-3 satellite microwave load basic climate data set (FCDR), Climate Data Set (CDR), and climate variable data set (ECV).

mots-clés

FY-3 meteorological satellite;microwave atmosphere detector;microwave imager;historical data re calibration;cross calibration

References

  1. 1.
    An D W, Gu S Y, Yang Z D and Chen W X. 2016. On-orbit radiometric calibration for nonlinear of FY-3C MWTS. Journal of Infrared and Millimeter Waves, 35(3): 317-321
  2. 2.
    Berg W, Bilanow S, Chen R Y, Datta S, Draper D, Ebrahimi H, Farrar S, Jones W L, Kroodsma R, McKague D, Payne V, Wang J, Wilheit T and Yang J X. 2016. Intercalibration of the GPM microwave radiometer constellation. Journal of Atmospheric and Oceanic Technology, 33(12): 2639-2654
  3. 3.
    Berg W, Kroodsma R, Kummerow C D and McKague D S. 2018. Fundamental climate data records of microwave brightness temperatures. Remote Sensing, 10(8): 1306
  4. 4.
    Biswas S K, Farrar S, Gopalan K, Santos-Garcia A, Jones W L and Bilanow S. 2013. Intercalibration of microwave radiometer brightness temperatures for the global precipitation measurement mission. IEEE Transactions on Geoscience and Remote Sensing, 51(3): 1465-1477
  5. 5.
    Bormann N, Duncan D, English S, Healy S, Lonitz K, Chen K Y, Lawrence H and Lu Q F. 2021. Growing operational use of FY-3 data in the ECMWF system. Advances in Atmospheric Sciences, 38(8): 1285-1298
  6. 6.
    Carminati F, Atkinson N, Candy B and Lu Q F. 2021. Insights into the microwave instruments onboard the Fengyun 3D satellite: Data quality and assimilation in the Met Office NWP system. Advances in Atmospheric Sciences, 38(8): 1379-1396
  7. 7.
    Carminati F, Candy B, Bell W and Atkinson N. 2018. Assessment and assimilation of FY-3 humidity sounders and imager in the UK met office global model. Advances in Atmospheric Sciences, 35(8): 942-954
  8. 8.
    Chander G, Hewison T J, Fox N, Wu X Q, Xiong X X and Blackwell W J. 2013. Overview of intercalibration of satellite instruments. IEEE Transactions on Geoscience and Remote Sensing, 51(3): 1056-1080
  9. 9.
    Chen H and Jin Y Q. 2012. In-orbit intercalibration of FY-3B/MWRI and applications for monitoring drought and flooding. Journal of Remote Sensing, 16(5): 1024-1034
  10. 10.
    Chen W X, Chi J D, Li Y M and Li H. 2013. Microwave temperature sounding (MWTS) for FY-3 meteorology satellite. Strategic Study of CAE, 15(7): 88-91
  11. 11.
    Colton M C and Poe G A. 1999. Intersensor Calibration of DMSP SSM/I’s: F-8 to F-14, 1987–1997. IEEE Transactions on Geoscience and Remote Sensing, 37(1): 418-439
  12. 12.
    Dong K S, Xie X X, Li X and Liu W L. 2020. Nonlinear characteristics of FY-3D microwave radiation imager and an optimal calculation method. Journal of Remote Sensing, 24(3): 226-232
  13. 13.
    Draper D, Newell D and Wentz F. 2016. Global precipitation measurement microwave imager (GMI) on-orbit calibration//2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment. Espoo: IEEE: 166-169
  14. 14.
    Draper D W, Newell D A, Wentz F J, Krimchansky S and Skofronick-Jackson G M. 2015. The global precipitation measurement (GPM) microwave imager (GMI): instrument overview and early on-orbit performance. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(7): 3452-3462
  15. 15.
    Du J Y, Kimball J S, Shi J C, Jones L A, Wu S L, Sun R J and Yang H. 2014. Inter-calibration of satellite passive microwave land observations from AMSR-E and AMSR2 using overlapping FY3B-MWRI sensor measurements. Remote Sensing, 6(9): 8594-8616
  16. 16.
    Ferraro R, Meng H and NOAA CDR Program. 2018. NOAA climate data records (CDR) of AMSU-A/B and MHS hydrological properties, Version 1. Asheville: NOAA National Centers for Environmental Information
  17. 17.
    Ferraro R R, Weng F Z, Grody N C, Zhao L M, Meng H, Kongoli C, Pellegrino P, Qiu S and Dean C. 2005. NOAA operational hydrological products derived from the advanced microwave sounding unit. IEEE Transactions on Geoscience and Remote Sensing, 43(5): 1036-1049
  18. 18.
    Grody N C, Vinnikov K Y, Goldberg M D, Sullivan J T and Tarpley J D. 2004. Calibration of multisatellite observations for climatic studies: microwave sounding unit (MSU). Journal of Geophysical Research: Atmospheres, 109(D24): D24104
  19. 19.
    Gu S Y, Guo Y, Dou F L, Wu Q and Lu N M. 2021. Radiometric calibration technology of microwave atmospheric sounders of FY-3 satellites. Remote Sensing Technology and Application, 36(1): 141-154
  20. 20.
    Gu S Y, Wang Z Z, Li J, Zhang S W and Zhang L. 2013. FY-3A/MWHS data calibration and validation analysis. Strategic Study of CAE, 15(7): 92-100
  21. 21.
    Guan L and Lu W J. 2016. Scan correction scheme of FY-3A microwave atmospheric humidity sounder radiance for data assimilation. Transactions of Atmospheric Sciences, 39(3): 400-408
  22. 22.
    Guan L, Zou X, Weng F and Li G. 2011. Assessments of FY-3A microwave humidity sounder measurements using NOAA-18 microwave humidity sounder. Journal of Geophysical Research: Atmospheres, 116(D10): D10106
  23. 23.
    Guo Y, He J Y, Gu S Y and Lu N M. 2020. Calibration and validation of Feng Yun-3-D microwave humidity sounder II. IEEE Geoscience and Remote Sensing Letters, 17(11): 1846-1850
  24. 24.
    Guo Y, Lu N M, Gu S Y, He J Y and Wang Z Z. 2014. Radiometric characteristics of FY-3C microwave humidity and temperature sounder. Journal of Applied Meteorological Science, 25(4): 436-444
  25. 25.
    Guo Y, Lu N M, Qi C L, GU S Y and Xu J M. 2015. Calibration and validation of microwave humidity and temperature sounder onboard FY-3C satellite. Chinese Journal of Geophysics, 58(1): 20-31
  26. 26.
    Hans I, Burgdorf M, Buehler S A, Prange M, Lang T and John V O. 2019. An uncertainty quantified fundamental climate data record for microwave humidity sounders. Remote Sensing, 11(5): 548
  27. 27.
    He J Y and Chen H N. 2019. Atmospheric retrievals and assessment for microwave observations from Chinese FY-3C satellite during hurricane Matthew. Remote Sensing, 11(8): 896
  28. 28.
    Hersbach H, de Rosnay P, Bell B, Schepers D, Simmons A, Soci C, Abdalla S, Alonso-Balmaseda M, Balsamo G, Bechtold P, Berrisfold P, Bidlot J R, de Boisséson E, Bonavita M, Browne P, Buizza R, Dahlgren P, Dee D, Dragani R, Diamantakis M, Flemming J, Forbes R, Geer A J, Haiden T, Holm E, Haimberger L, Hogan R, Horanyi A, Janiskova M, Laloyaux P, Lopez P, Munoz-Sabater J, Peubey C, Radu R, Richardson D, Thépaut J N, Vitart F, Yang X, Zsoter E and Zuo H. 2018. Operational global reanalysis: progress, future directions and synergies with NWP. ERA Report Series 27
  29. 29.
    Hollinger J P, Peirce J L and Poe G A. 1990. SSM/I instrument evaluation. IEEE Transactions on Geoscience and Remote Sensing, 28(5): 781-790
  30. 30.
    Hou X Y, Han Y, Hu X Q and Weng F Z. 2019. Verification of Fengyun-3D MWTS and MWHS calibration accuracy using GPS radio occultation data. Journal of Meteorological Research, 33(4): 695-704
  31. 31.
    Jin X, Chi J D, Hu T Y, Chen W X, Gu S Y and An D W. 2019. Research on stripe noise suppression of microwave temperature sounder on FY-3D satellite. Infrared, 40(12): 28-37
  32. 32.
    Lang T, Buehler S A, Burgdorf M, Hans I and John V O. 2020. A new climate data record of upper-tropospheric humidity from microwave observations. Scientific Data, 7(1): 218
  33. 33.
    Lawrence H, Bormann N, Geer A J, Lu Q F and English S J. 2018. Evaluation and assimilation of the Microwave Sounder MWHS-2 onboard FY-3C in the ECMWF numerical weather prediction system. IEEE Transactions on Geoscience and Remote Sensing, 56(6): 3333-3349
  34. 34.
    Li J Y, Wang Z Z, Gu S Y and Zhang S W. 2019. Common Re-calibration technology for spaceborne microwave atmospheric humidity sounder. Remote Sensing Technology and Application, 34(6): 1212-1220
  35. 35.
    Liu G F, Wu S L, Chen W Y, Pan L and He J K. 2014. Calibration system and achievement of microwave radiation imager of FY-3 satellite. Journal of Microwaves, 30(S1): 576-579
  36. 36.
    Lu Q F. 2011. Initial evaluation and assimilation of FY-3A atmospheric sounding data in the ECMWF System. Science China Earth Sciences, 54(10): 1453-1457
  37. 37.
    Mo T. 2002. Calibration of the advanced microwave sounding unit-A radiometers for NOAA-N and NOAA-N. NOAA Technical Report NESDIS 106
  38. 38.
    Newell D, Draper D, Remund Q, Figgins D, Krimchansky S, Wentz F and Meissner T. 2015. GPM microwave imager (GMI) on-orbit performance and calibration results//2015 IEEE International Geoscience and Remote Sensing Symposium. Milan: IEEE: 5158-5161
  39. 39.
    Newman S, Carminati F, Lawrence H, Bormann N, Salonen K and Bell W. 2020. Assessment of new satellite missions within the framework of numerical weather prediction. Remote Sensing, 12(10): 1580
  40. 40.
    Qiao M, Yang H, He J K and Lv L Q. 2012. On-orbit performance stability analysis of microwave radiometer imager onboard FY-3 Satellite. Journal of Remote Sensing, 16(6): 1246-1261
  41. 41.
    Rienecker M M, Suarez M J, Gelaro R, Todling R, Bacmeister J, Liu E, Bosilovich M G, Schubert S D, Takacs L, Kim G K, Bloom S, Chen J Y, Collins D, Conaty A, da Silva A, Gu W, Joiner J, Koster R D, Lucchesi R, Molod A, Owens T, Pawson S, Pegion P, Redder C R, Reichle R, Robertson F R, Ruddick A G, Sienkiewicz M and Woollen J. 2011. MERRA: NASA’s modern-era retrospective analysis for research and applications. Journal of Climate, 24(14): 3624-3648
  42. 42.
    Sapiano M R P, Berg W K, McKague D S and Kummerow C D. 2013. Toward an intercalibrated fundamental climate data record of the SSM/I sensors. IEEE Transactions on Geoscience and Remote Sensing, 51(3): 1492-1503
  43. 43.
    Solomon S, Qin D, Manning M, Marquis M, Averyt K, Tignor M M B and Miller Jr H L. 2007. Climate Change 2007: the Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, UK and New York, USA: Cambridge University Press
  44. 44.
    Tang X T, Chen H H, Guan L and Li L L. 2020. Intercalibration of FY-3B/MWRI and GCOM-W1/AMSR-2 brightness temperature over the Arctic. Journal of Remote Sensing, 24(8): 1032-1044
  45. 45.
    Wang X, Ren Y F and Wu B. 2017. Absolute calibration of MWTS sounding channels using GPS RO data. Transactions of Atmospheric Sciences, 40(1): 81-89
  46. 46.
    Wang Z Z, Zhang S W, Li J, Li Y and Wu Q. 2013. Thermal/vacuum calibration of microwave humidity sounder on FY-3B satellite. Strategic Study of CAE, 15(10): 33-46, 53
  47. 47.
    Weng F, Zou X, Wang X, Yang S and Goldberg M D. 2012. Introduction to Suomi national polar-orbiting partnership advanced technology microwave sounder for numerical weather prediction and tropical cyclone applications. Journal of Geophysical Research: Atmospheres, 117(D19): D19112
  48. 48.
    Wu B H, Wang Y, Zou C Z, Li R, Liu S, Liu G S and Fu Y F. 2020. A fundamental climate data record derived from AMSR-E, MWRI, and AMSR2. IEEE Transactions on Geoscience and Remote Sensing, 58(8): 5450-5461
  49. 49.
    Xie X X, Dong K S, Yu W M, Meng W T and Gu S Y. 2021a. In-orbit calibration of FengYun-3C microwave radiation imager: nonlinearity correction. IEEE Transactions on Geoscience and Remote Sensing, 59(9): 7618-7626
  50. 50.
    Xie X X, Meng W T, He J K, Yu W M and Li X. 2021b. In-orbit calibration uncertainty of the microwave radiation imager on board FengYun-3C. Journal of Meteorological Research, 35(6): 943-951
  51. 51.
    Xie X X, Wu S L, Xu H X, Yu W M, He J K and Gu S Y. 2019. Ascending-descending bias correction of microwave radiation imager on board FengYun-3C. IEEE Transactions on Geoscience and Remote Sensing, 57(6): 3126-3134
  52. 52.
    Yang H, Weng F Z, Lv L Q, Lu N M, Liu G F, Bai M, Qian Q Y, He J K and Xu H X. 2011. The FengYun-3 microwave radiation imager on-orbit verification. IEEE Transactions on Geoscience and Remote Sensing, 49(11): 4552-4560
  53. 53.
    Yang H, Zou X L, Li X Q and You R. 2012a. Environmental data records from FengYun-3B microwave radiation imager. IEEE Transactions on Geoscience and Remote Sensing, 50(12): 4986-4993
  54. 54.
    Yang J, Zhang P, Lu N M, Yang Z D, Shi J M and Dong C H. 2012b. Improvements on global meteorological observations from the current Fengyun 3 satellites and beyond. International Journal of Digital Earth, 5(3): 251-265
  55. 55.
    You R, Gu S Y, Guo Y, Wu X B, Yang H and Chen W X. 2012. Long-term calibration and accuracy assessment of the fengyun-3 microwave temperature sounder radiance measurements. IEEE Transactions on Geoscience and Remote Sensing, 50(12): 4854-4859
  56. 56.
    Zeng Z Q and Jiang G M. 2020. Intercalibration of FY-3C MWRI against GMI using the ocean microwave radiative transfer mode. IEEE Access, 8: 63320-63335
  57. 57.
    Zhang M, Lu Q F, Gu S Y, Hu X Q and Wu S L. 2019. Analysis and correction 0f the difference between the ascending and descending orbits of the FY-3C microwaVe imager. Journal of Remote Sensing, 23(5): 841-849
  58. 58.
    Zhang P, Chen L, Xian D and Xu Z. 2018. Recent progress of Fengyun meteorology satellites. Chinese Journal of Space Science, 38(5): 788-796
  59. 59.
    Zhang P, Lu Q F, Hu X Q, Gu S Y, Yang L, Min M, Chen L, Xu N, Sun L, Bai W G, Ma G and Xian D. 2019. Latest progress of the Chinese meteorological satellite program and core data processing technologies. Advances in Atmospheric Sciences, 36(9): 1027-1045
  60. 60.
    Zou C Z, Gao M and Goldberg M D. 2009. Error structure and atmospheric temperature trends in observations from the microwave sounding unit. Journal of Climate, 22(7): 1661-1681
  61. 61.
    Zou C Z, Goldberg M D, Cheng Z H, Grody N C, Sullivan J T, Cao C Y and Tarpley D. 2006. Recalibration of microwave sounding unit for climate studies using simultaneous nadir overpasses. Journal of Geophysical Research: Atmospheres, 111(D19): D19114
  62. 62.
    Zou C Z, Goldberg M D and Hao X J. 2018. New generation of U.S. satellite microwave sounder achieves high radiometric stability performance for reliable climate change detection. Science Advances, 4(10): eaau0049
  63. 63.
    Zou C Z and Qian H F. 2016. Stratospheric temperature climate data record from merged SSU and AMSU-A observations. Journal of Atmospheric and Oceanic Technology, 33(9): 1967-1984
  64. 64.
    Zou C Z and Wang W H. 2010. Stability of the MSU-derived atmospheric temperature trend. Journal of Atmospheric and Oceanic Technology, 27(11): 1960-1971
  65. 65.
    Zou C Z and Wang W H. 2011. Intersatellite calibration of AMSU-A observations for weather and climate applications. Journal of Geophysical Research: Atmospheres, 116(D23): D23113
  66. 66.
    Zou C Z, Zhou L H, Lin L, Sun N H, Chen Y, Flynn L E, Zhang B, Cao C Y, Iturbide-Sanchez F, Beck T, Yan B H, Kalluri S, Bai Y, Blonski S, Choi T, Divakarla M, Gu Y L, Hao X J, Li W, Liang D, Niu J G, Shao X, Strow L, Tobin D C, Tremblay D, Uprety S, Wang W H, Xu H, Yang H and Goldberg M D. 2020. The reprocessed Suomi NPP satellite observations. Remote Sensing, 12(18): 2891
  67. 67.
    Zou X L, Chen X and Weng F Z. 2014. Polarization signature from the FengYun-3 microwave humidity sounder. Frontiers of Earth Science, 8(4): 625-633
  68. 68.
    Zou X L, Ma Y and Qin Z K. 2012. FengYun-3B Microwave Humidity Sounder (MWHS) data noise characterization and filtering using principle component analysis. IEEE Transactions on Geoscience and Remote Sensing, 50(12): 4892-4902
  69. 69.
    Zou X, Wang X, Weng F and Li G. 2011. Assessments of Chinese FengYun Microwave Temperature Sounder (MWTS) measurements for weather and climate applications. Journal of Atmospheric and Oceanic Technology, 28(10): 1206-1227
  70. 70.
    Zou X L. 2021. Studies of FY-3 observations over the past 10 years: a review. Remote Sensing, 13(4): 673

Lire l'article complet

The above content is generated by Large Model Translation. The translated content is for reference only. We do not assume any commercial or legal responsibilty for any consequences arising from the use of our website