سابِق|تال

Atmospheric water vapor profiles retrieval algorithm for Occultation Satellite-based Infrared Payloads

  • role： First author第一作者
  • Affiliation：

    Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

  • Email：miaojing@radi.ac.cn
  • Introduction：苗晶，1992年生，女，硕士研究生， 研究方向为大气遥感。E-mail： miaojing@radi.ac.cn
MIAO Jing12,  
  • role： Corresponding author通信作者
  • Affiliation：

    Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Beijing 100101, China

  • Email：lixy01@radi.ac.cn
  • Introduction：李小英，1975年生，女，副研究员， 研究方向为定量遥感、大气遥感。E-mail：lixy01@radi.ac.cn
LI Xiaoying1*,  
  • Affiliation：

    Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

WANG Hongmei12,  
  • Affiliation：

    Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

WANG Yapeng12,  
  • Affiliation：

    Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

ZHU Songyan12,  
  • Affiliation：

    Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

WANG Zhihao12

ملخص

The spatiotemporal distribution of water vapor has impact on precipitation state prediction, climatic disasters, and global ecological equilibrium. And the satellite-based occultation observations greatly improve the understanding of atmospheric vertical composition. This study proposed a modified water vapor retrieval algorithm.There has been information redundancy when retrieving with hyper-spectral remote sensing data of infrared occultation. The interference components will also greatly decline retrieval accuracy. Considering these problems, the Reference Forward Model (RFM) and the channels’ Jacobian were applied when choosing appropriate retrieval channels. 159 retrieval channels which include 13 micro-windows were extracted by using channel selection and sensitivity analysis. This will lessen calculative burden and improve retrieval efficiency. The hierarchical smoothing parameter, which makes the algorithm suitable for the layered detection characteristic of infrared occultation payload, was employed to modify the Rodgers’s Levenberg—Marquardt (LM) optimal estimation algorithm. Thus, smoothing coefficients at different altitudes were used when retrieving water vapor profiles based on infrared occultation data. To validate the reliability of the modified algorithm, the original and modified algorithms were used for the water vapor profiles retrieval based on the ACE-FTS observation data. The retrieval experiment based on GF5-AIUS simulation data was performed for the further validation of the modified algorithm applicability to the domestic occultation satellite payload. By comparing the overall differences and the relative differences at different altitudes of original and modified algorithms under the same number of iteration, the conclusion can be obtained.The result showed that the modified algorithm reduced the overall relative differences of retrieval from ±10% to ±6% for the ACE-FTS observation data. For the GF5-AIUS simulation data, it was from ±9% to ±5%. In addition, the relative differences was also significantly reduced in some atmospheric layers. The decrease of relative differences in different altitudes were more than 25.17% for the ACE-FTS observation data and more than 48.26% for the GF5-AIUS simulation data. The overall decrease of relative difference for the three-scene (Orbit numbers 40993, 43544, 38154) data were 34.7362%, 25.1706%, and 52.1346% for the ACE-FTS observation data. For the GF5-AIUS simulation data, they were 61.3239%, 48.2558%, and 51.9857%, respectively.In conclusion, the modified algorithm works efficiently and reliably in retrieving atmospheric water vapor profiles based on infrared occultation. Therefore, the modified algorithm provides a reference for the water vapor profile retrieval study when using infrared occultation data and is conducive to the further research in atmospheric water vapor retrieval of domestic occultation payload. It provides reliable fundamental data for water vapor for climate change prediction, global ecological balance, and other relevant fields.

مفهوم

water vapor profiles retrieval;OEM;ACE-FTS;GF-5 AIUS;RFM

References

  1. 1.
    Auvinen H, Oikarinen L and Kyrölä E. 2002. Inversion algorithms for recovering minor species densities from limb scatter measurements at UV-visible wavelengths. Journal of Geophysical Research: Atmospheres, 107(D13): 4172
  2. 2.
    Bates D R and Nicolet M. 1950. The photochemistry of atmospheric water vapor. Journal of Geophysical Research, 55(3): 301-327
  3. 3.
    Beer R, Glavich T A and Rider D M. 2001. Tropospheric emission spectrometer for the Earth Observing System’s Aura satellite. Applied Optics, 40(15): 2356-2367
  4. 4.
    Bernath P F, McElroy C T, Abrams M C, Boone C D, Butler M, Camy‐Peyret C, Carleer M, Clerbaux C, Coheur P F, Colin R, DeCola, DeMazière M, Drummond J R, Dufour D, Evans W F J, Fast H, Fussen D, Gilbert K, Jennings D E, Llewellyn E J, Lowe R P, Mahieu E, McConnell J C, McHugh M, McLeod S D, Michaud R, Midwinter C, Nassar R, Nichitiu F, Nowlan C, Rinsland C P, Rochon Y J, Rowlands N, Semeniuk K, Simon P, Skelton R, Sloan J J, Soucy M A, Strong K, Tremblay P, Turnbull D, Walker K A, Walkty I, Wardle D A, Wehrle V, Zander R and Zou J. 2005. Atmospheric Chemistry Experiment (ACE): mission overview. Geophysical Research Letters, 32(15): L15S01
  5. 5.
    Boone C D, Nassar R, Walker K A, Rochon Y, McLeod S D, Rinsland C P and Bernath P F. 2005. Retrievals for the atmospheric chemistry experiment Fourier-transform spectrometer. Applied Optics, 44(33): 7218-7231
  6. 6.
    Bowman K W, Rodgers C D, Kulawik S S, Worden J, Sarkissian E, Osterman G, Steck T, Lou M, Eldering A, Shephard M, Worden H, Lampel M, Clough S, Brown P, Rinsland C, Gunson M and Beer R. 2006. Tropospheric emission spectrometer: retrieval method and error analysis. IEEE Transactions on Geoscience and Remote Sensing, 44(5): 1297-1307
  7. 7.
    Carlotti M. 1988. Global-fit approach to the analysis of limb-scanning atmospheric measurements. Applied Optics, 27(15): 3250-3254
  8. 8.
    Collier C G. 1998. Atmospheric water vapor//Herschy R W and Fairbridge R W, eds. Encyclopedia of Hydrology and Water Resources. Dordrecht: Springer: 98 [DOI: 10.1007/1-4020-4513-1_26]
  9. 9.
    Dalu G. 1986. Satellite remote sensing of atmospheric water vapour. International Journal of Remote Sensing, 7(9): 1089-1097
  10. 10.
    Diaconu B M, Cruceru M, Gheorghian A T and Popescu L G. 2012. View factors in a finite length axysymmetric cylindrical annulus enclosure. Journal of Quantitative Spectroscopy and Radiative Transfer, 113(16): 2100-2112
  11. 11.
    Eriksson P. 2000. Analysis and comparison of two linear regularization methods for passive atmospheric observations. Journal of Geophysical Research: Atmospheres, 105(D14): 18157-18167
  12. 12.
    Eriksson P, Jiménez C and Buehler S A. 2005. Qpack, a general tool for instrument simulation and retrieval work. Journal of Quantitative Spectroscopy and Radiative Transfer, 91(1): 47-64
  13. 13.
    Eyre J R. 1989. Inversion of cloudy satellite sounding radiances by nonlinear optimal estimation. I: theory and simulation for TOVS. Quarterly Journal of the Royal Meteorological Society, 115(489): 1001-1026
  14. 14.
    Fedorova A A, Korablev O I, Bertaux J L, Rodin A V, Montmessin F, Belyaev D A and Reberac A. 2009. Solar infrared occultation observations by SPICAM experiment on Mars-Express: simultaneous measurements of the vertical distributions of H2O, CO2 and aerosol. Icarus, 200(1): 96-117
  15. 15.
    Gunson M R, Abbas M M, Abrams M C, Allen M, Brown L R, Brown T L, Chang A Y, Goldman A, Irion F W, Lowes L L, Mahieu E, Manney G L, Michelsen H A, Newchurch M J, Rinsland C P, Salawitch R J, Stiller G P, Toon G C, Yung Y L and Zander R. 1996. The Atmospheric Trace Molecule Spectroscopy (ATMOS) experiment: deployment on the ATLAS space shuttle missions. Geophysical Research Letters, 23(17): 2333-2336
  16. 16.
    Gunson M R, Farmer C B, Norton R H, Zander R, Rinsland C P, Shaw J H and Gao B C. 1990. Measurements of CH4, N2O, CO, H2O, and O3 in the middle atmosphere by the Atmospheric Trace Molecule Spectroscopy experiment on Spacelab 3. Journal of Geophysical Research: Atmospheres, 95(D9): 13867-13882
  17. 17.
    Harries J E, Russell III J M, Tuck A F, Gordley L L, Purcell P, Stone K, Bevilacqua R M, Gunson M, Nedoluha G and Traub W A. 1996. Validation of measurements of water vapor from the Halogen Occultation Experiment (HALOE). Journal of Geophysical Research: Atmospheres, 101(D6): 10205-10216
  18. 18.
    Irion F W, Gunson M R, Toon G C, Chang A Y, Eldering A, Mahieu E, Manney G L, Michelsen H A, Moyer E J, Newchurch M J, Osterman G B, Rinsland C P, Salawitch R J, Sen B, Yung Y L and Zander R. 2002. Atmospheric Trace Molecule Spectroscopy (ATMOS) experiment version 3 data retrievals. Applied Optics, 41(33): 6968-6979
  19. 19.
    Jones A, Walker K A, Jin J J, Taylor J R, Boone C D, Bernath P F, Bernath P F, Brohede S, Manney G L, McLeod S, Hughes R and Daffer W H. 2011. Technical note: a trace gas climatology derived from the atmospheric chemistry experiment Fourier transform spectrometer dataset. Atmospheric Chemistry and Physics Discussions, 11(11): 29845-29882
  20. 20.
    Jongma R T, Gloudemans A M S, Hoogeveen R W M, Aben I, De Vries J, Escudero-Sanz I, Van Den Oord G and Levelt P F. 2006. Sensitivity analysis of a new SWIR-channel measuring tropospheric CH4 and CO from space//Proceedings of SPIE Imaging Spectrometry XI. San Diego, California, United States: SPIE: 630214 [DOI: 10.1117/12.680277]
  21. 21.
    Kiehl J T and Trenberth K E. 1997. Earth's annual global mean energy budget. Bulletin of the American Meteorological Society, 78(2): 197-208
  22. 22.
    Koo J H, Walker K A, Jones A, Sheese P E, Boone C D, Bernath P F and Manney G L. 2017. Global climatology based on the ACE-FTS version 3.5 dataset: addition of mesospheric levels and carbon-containing species in the UTLS. Journal of Quantitative Spectroscopy and Radiative Transfer, 186: 52-62
  23. 23.
    Li X Y, Cheng T H, Xu J, Chen T H, Shi H L, Zhang X Y, Ge S L, Wang H M, Wang Y P, Zhu S Y, Miao J and Luo Q. 2019. Monitoring Trace Gases over the Antarctic Using Atmospheric Infrared Ultraspectral Sounder Onboard GaoFen-5: Algorithm Description and First Retrieval Results of O3, H2O, and HCl, Remote Sensing, 11(17):1991
  24. 24.
    Livesey N J, Van Snyder W, Read W G and Wagner P A. 2006. Retrieval algorithms for the EOS Microwave limb sounder (MLS). IEEE Transactions on Geoscience and Remote Sensing, 44(5): 1144-1155
  25. 25.
    López-Valverde M A, López-Puertas M, Taylor F W and Gunson M R. 1998. Correlation between ISAMS and ATMOS measurements of co in the middle atmosphere. Advances in Space Research, 22(11): 1517-1520
  26. 26.
    Louisnard N, Fergant G, Girard A, Gramont L, Lado-Bordowsky O, Laurent J, Le Boiteux S and Lemaitre M P. 1983. Infrared absorption spectroscopy applied to stratospheric profiles of minor constituents. Journal of Geophysical Research: Oceans, 88(C9): 5365-5376
  27. 27.
    Nassar R, Bernath P F, Boone C D, Manney G L, McLeod S D, Rinsland C P, Skelton R and Walker K A. 2005. Stratospheric abundances of water and methane based on ACE‐FTS measurements. Geophysical Research Letters, 32(15): L15S04
  28. 28.
    Nedoluha G E, Bevilacqua R M, Gomez R M, Siskind D E, Hicks B C, Russell III J M and Connor B J. 1998. Increases in middle atmospheric water vapor as observed by the Halogen Occultation Experiment and the ground‐based Water Vapor Millimeter-Wave Spectrometer from 1991 to 1997. Journal of Geophysical Research: Atmospheres, 103(D3): 3531-3543
  29. 29.
    Norton R H and Rinsland C P. 1991. ATMOS data processing and science analysis methods. Applied Optics, 30(4): 389-400
  30. 30.
    Qi W H, Wei H Y and Yi L N. 2013. Analysis on infrared spectrometer system specification for atmospheric composition detecting. Spacecraft Recovery and Remote Sensing, 34(5): 36-45
  31. 31.
    Randel W J, Wu F, Gettelman A, Russell III J M, Zawodny J M and Oltmans S J. 2001. Seasonal variation of water vapor in the lower stratosphere observed in Halogen Occultation Experiment data. Journal of Geophysical Research: Atmospheres, 106(D13): 14313-14325
  32. 32.
    Raspollini P, Belotti C, Burgess A, Carli B, Carlotti M, Ceccherini S, Dinelli B M, Flaud J M, Funke B, Höpfner M, López-Puertas M, Payne V, Piccolo C, Remedios J J, Ridolfi M and Spang R. 2006. MIPAS level 2 operational analysis. Atmospheric Chemistry and Physics, 6(12): 5605-5630
  33. 33.
    Rinsland C P, Chiou L, Boone C, Bernath P, Mahieu E and Zander R. 2009. Trend of lower stratospheric methane (CH4) from atmospheric chemistry experiment (ACE) and atmospheric trace molecule spectroscopy (ATMOS) measurements. Journal of Quantitative Spectroscopy and Radiative Transfer, 110(13): 1066-1071
  34. 34.
    Rinsland C P, Goldman A, Devi V M, Fridovich B, Snyder D G S, Jones G D, Murcray F J, Murcray D G, Smith M A H, Seals Jr R K, Coffey M T and Mankin W G. 1984. Simultaneous stratospheric measurements of H2O, HDO, and CH4 from balloon‐borne and aircraft infrared solar absorption spectra and tunable diode laser laboratory spectra of HDO. Journal of Geophysical Research: Atmospheres, 89(D5): 7259-7266
  35. 35.
    Rodgers C D. 1976. Retrieval of atmospheric temperature and composition from remote measurements of thermal radiation. Reviews of Geophysics, 14(4): 609-624
  36. 36.
    Rodgers C D. 2000. Inverse Methods for Atmospheric Sounding: Theory and Practice. Singapore: World Scientific
  37. 37.
    Rosenlof K H, Tuck A F, Kelly K K, Russell III J M and McCormick M P. 1997. Hemispheric asymmetries in water vapor and inferences about transport in the lower stratosphere. Journal of Geophysical Research: Atmospheres, 102(D11): 13213-13234
  38. 38.
    Russell III J M, Gordley L L, Park J H, Drayson S R, Hesketh W D, Cicerone R J, Tuck A F, Frederick J E, Harries J E and Crutzen P J. 1993. The halogen occultation experiment. Journal of Geophysical Research: Atmospheres, 98(D6): 10777-10797
  39. 39.
    Shannon C E. 1949. Communication theory of secrecy systems. The Bell System Technical Journal, 28(4): 656-715
  40. 40.
    Sheese P E, Walker K A, Boone C D, Bernath P F, Froidevaux L, Funke B, Raspollini P and Von Clarmanng T. 2017. ACE-FTS ozone, water vapour, nitrous oxide, nitric acid, and carbon monoxide profile comparisons with MIPAS and MLS. Journal of Quantitative Spectroscopy and Radiative Transfer, 186: 63-80
  41. 41.
    Soucy M A A, Chateauneuf F, Deutsch C and Etienne N. 2002. ACE-FTS instrument detailed design//Proceedings of Earth Observing Systems VII. Seattle, WA, United States: SPIE: 70-82
  42. 42.
    Steck T. 2002. Methods for determining regularization for atmospheric retrieval problems. Applied Optics, 41(9): 1788-1797
  43. 43.
    Suzuki M, Matsuzaki A, Ishigaki T, Kimura N, Araki N, Yokota T and Sasano Y. 1995. ILAS, the improved limb atmospheric spectrometer, on the advanced earth observing satellite. IEICE Transactions on Communications, 78(12): 1560-1570
  44. 44.
    Takahashi C, Ochiai S and Suzuki M. 2010. Operational retrieval algorithms for JEM/SMILES level 2 data processing system. Journal of Quantitative Spectroscopy and Radiative Transfer, 111(1): 160-173
  45. 45.
    Trenberth K E, Fasullo J and Smith L. 2005. Trends and variability in column-integrated atmospheric water vapor. Climate Dynamics, 24(7/8): 741-758
  46. 46.
    Trenberth K E, Fasullo J T and Kiehl J. 2009. Earth's global energy budget. Bulletin of the American Meteorological Society, 90(3): 311-324
  47. 47.
    Urban J, Baron P, Lautié N, Schneider N, Dassas K, Ricaud P and De La Noë J. 2004. Moliere (v5): a versatile forward- and inversion model for the millimeter and sub-millimeter wavelength range. Journal of Quantitative Spectroscopy and Radiative Transfer, 83(3/4): 529-554
  48. 48.
    Von Clarmann T, Höpfner M, Funke B, López-Puertas M, Dudhia A, Jay V, Schreier F, Ridolfi M, Ceccherini S, Kerridge B J, Reburn J and Siddans R. 2003. Modelling of atmospheric mid-infrared radiative transfer: the AMIL2DA algorithm intercomparison experiment. Journal of Quantitative Spectroscopy and Radiative Transfer, 78(3/4): 381-407
  49. 49.
    Wang H M, Li X Y, Xu J, Zhang X Y, Ge S L, Chen L F, Wang Y P, Zhu S Y, Miao J and Si Y D. 2018. Assessment of retrieved N2O, NO2, and HF profiles from the atmospheric infrared ultraspectral sounder based on simulated spectra. Sensors, 18(7): 2209
  50. 50.
    Waymark C, Walker K A, Boone C, Dupuy E, Bernath P F Anderson J, Froidevaux L, Randall C E and Zawodny J M. 2012. Validation of the ACE-FTS Dataset, AGU Fall Meeting. AGU Fall Meeting Abstracts
  51. 51.
    Zou M M, Chen L F, Fan M, Li S S and Tao J H. 2016. An improved constraint method in Optimal Estimation of CH4 from GOSAT SWIR observations//Proceedings of 2016 IEEE International Geoscience and Remote Sensing Symposium. Beijing: IEEE: 374-376

قراءة النص الكامل

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