سابِق|تال

Estimation of downward surface shortwave radiation from Himawari-8 atmospheric products

  • role： First author第一作者
  • Affiliation：

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

    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

  • Email：marun@radi.ac.cn
  • Introduction：马润，1993年生，男，硕士研究生，研究方向为卫星云参数反演与地表太阳辐射计算。E-mail：marun@radi.ac.cn
MA Run12,  
  • role： Corresponding author通信作者
  • Affiliation：

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

  • Email：husiletu@radi.ac.cn
  • Introduction：胡斯勒图，1976年生，男，研究员，研究方向为冰晶粒子的光散射计算与云微物理过程。E-mail：husiletu@radi.ac.cn
HUSI Letu1*,  
  • Affiliation：

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

SHANG Huazhe1,  
  • Affiliation：

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

    College of Geography Science, Inner Mongolia Normal University, Hohhot 010022, China

A’NA Ri13,  
  • Affiliation：

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

HE Jie1,  
  • Affiliation：

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

    School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

HAN Xu14,  
  • Affiliation：

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

    School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

WANG Ziming15

ملخص

Downward Surface Shortwave Radiation (DSSR) estimated from satellite measurements is crucial in climate change study and clean energy applications. The Advanced Himawari Imager (AHI) onboard the new generation geostationary satellite Himawari-8 provides an unprecedented opportunity for the near real-time estimation of DSSR, with a spatial resolution of 5 km and a temporal resolution of 10 min over the full disk regions. To meet the requirements of fast and accurate estimation of DSSR from Himawari-8, this study proposed a Look-Up Table (LUT) method to estimate the DSSR from Himawari-8/AHI level 2 (L2) atmospheric products. We first investigate the sensitivities of DSSR to solar geometry (solar zenith angle), atmosphere conditions (aerosol optical depth, cloud optical depth, and cloud effective radius), and surface condition (surface albedo) basing on the atmospheric radiative transfer model. Then, LUTs for clear and cloudy skies are generated based on the sensitivity results. Finally, the DSSR is estimated with the inputs of Himawari-8 L2 aerosol and cloud products released by JAXA on the basis of LUTs previously created. As an experiment, DSSR results are estimated using our algorithm at 02:00 UTC on April 1, 2016 and compared with the JAXA Himawari-8 L2 DSSR product. The comparison shows that our DSSR estimates are consistent with the operational DSSR results over the full disk regions. To further validate our DSSR estimates, we compare our results and the operational DSSR results with ground-based measurements at Yonsei site (land) and 0n_165e site (sea) in April, July, October, and December 2016. The correlation coefficients (R) derived from ground measurements and these two DSSR results are larger than 0.88 for all types of sky conditions. With the scattering properties of non-spherical (hexagon) ice cloud particles included, the biases of our DSSR estimates in the validation with ground measurements at two sites are lower than the operational DSSR results. This study developed an LUT-based method to estimate DSSR with inputs of Himawari-8 L2 atmospheric products (including aerosol and cloud products, and other auxiliary data such as solar zenith angle in L1 product). The estimated DSSR was validated against both land and sea sites of ground observed DSSR, with RMSEs of 94.13 Wm−2, 62.92 Wm−2, and 110.60 Wm−2 for all types of sky conditions at Yonsei, and RMSEs of 123.86 Wm −2, 105.33 Wm−2 and 151.44 Wm−2 for all types of sky conditions at sea site 0n_165e. Furthermore, the correlation coefficients (R) of our DSSR estimation from the land and sea sites were greater than 0.88 for all sky conditions. These validation results suggested that our DSSR estimation with Himawari-8 atmospheric products works well and can thus be further used in land surface radiation budget research and solar energy application after improvements on the current algorithm.

مفهوم

Himawari-8;Downward Surface Shortwave Radiation;radiative transfer theory;LUT

References

  1. 1.
    Bessho K, Date K, Hayashi M, Ikeda A, Imai T, Inoue H, Kumagai Y, Miyakawa T, Murata H, Ohno T, Okuyama A, Oyama R, Sasaki Y, Shimazu Y, Shimoji K, Sumida Y, Suzuki M, Taniguchi H, Tsuchiyama H, Uesawa D, Yokota H and Yoshida R. 2016. An introduction to Himawari-8/9—Japan’s new-generation geostationary meteorological satellites. Journal of the Meteorological Society of Japan. Series II, 94(2): 151–183
  2. 2.
    Cano D, Monget J M, Albuisson M, Guillard H, Regas N and Wald L. 1986. A method for the determination of the global solar radiation from meteorological satellite data. Solar Energy, 37(1): 31–39
  3. 3.
    Chen J E and Li J M. 1997. Estimation solar energy resource for Tibet region with satellite data. Acta Energiae Solaris Sinica, 18(2): 113–116
  4. 4.
    Dedieu G, Deschamps P Y and Kerr Y H. 1987. Satellite estimation of solar irradiance at the surface of the earth and of surface albedo using a physical model applied to Metcosat data. Journal of Climate and Applied Meteorology, 26(1): 79–87
  5. 5.
    Deneke H, Feijt A, van Lammeren A V and Simmer C. 2005. Validation of a physical retrieval scheme of solar surface irradiances from narrowband satellite radiances. Journal of Applied Meteorology, 44(9): 1453–1466
  6. 6.
    Frouin R and Murakami H. 2007. Estimating photosynthetically available radiation at the ocean surface from ADEOS-II global imager data. Journal of Oceanography, 63(3): 493–503
  7. 7.
    Houborg R, Soegaard H, Emmerich W and Moran S. 2007. Inferences of all-sky solar irradiance using Terra and Aqua MODIS satellite data. International Journal of Remote Sensing, 28(20): 4509–4535
  8. 8.
    Huang J P, Yu H P, Guan X D, Wang G Y and Guo R X. 2016. Accelerated dryland expansion under climate change. Nature Climate Change, 6(2): 166–171
  9. 9.
    Husi L T, Nagao T M, Nakajima T Y and Matsumae Y. 2014. Method for validating cloud mask obtained from satellite measurements using ground-based sky camera. Applied Optics, 53(31): 7523–7533
  10. 10.
    Husltu, Bao Y H, Xu J, Qing S and Bao G. 2015. Radiative properties of cirrus clouds based on hexagonal and spherical ice crystals models. Spectroscopy and Spectral Analysis, 35(5): 1165–1168
  11. 11.
    Letu H, Ishimoto H, Riedi J, Nakajima T Y, Labonnote L C, Baran A J, Nagao T M and Skiguchi M. 2016. Investigation of ice particle habits to be used for ice cloud remote sensing for the GCOM-C satellite mission. Atmospheric Chemistry and Physics, 16(18): 12287–12303
  12. 12.
    Li W W, Letu H, Chen H B and Shang H Z. 2017. Estimation of surface solar radiation using MODIS satellite data and RSTAR model. Remote Sensing Technology and Application, 32(4): 643–650
  13. 13.
    Nakajima T and Tanaka M. 1986. Matrix formulations for the transfer of solar radiation in a plane-parallel scattering atmosphere. Journal of Quantitative Spectroscopy and Radiative Transfer, 35(1): 13–21
  14. 14.
    Nakajima T and Tanaka M. 1988. Algorithms for radiative intensity calculations in moderately thick atmospheres using a truncation approximation. Journal of Quantitative Spectroscopy and Radiative Transfer, 40(1): 51–69
  15. 15.
    Pinker R T and Ewing J A. 1985. Modeling surface solar radiation: model formulation and validation. Journal of Climate and Applied Meteorology, 24(5): 389–401
  16. 16.
    Qin W M, Wang L C, Lin A W, Zhang M, Xia X G, Hu B and Niu Z G. 2018. Comparison of deterministic and data-driven models for solar radiation estimation in China. Renewable and Sustainable Energy Reviews, 81: 579–594
  17. 17.
    Shang H Z, Chen L F, Letu H, Zhao M, Li S S and Bao S H. 2017. Development of a daytime cloud and haze detection algorithm for Himawari-8 satellite measurements over central and eastern China. Journal of Geophysical Research: Atmospheres, 122(6): 3528–3543
  18. 18.
    Shang H Z, Letu H, Nakajima T Y, Wang Z M, Ma R, Wang T X, Lei Y H, Ji D B, Li S S and Shi J C. 2018. Diurnal cycle and seasonal variation of cloud cover over the Tibetan Plateau as determined from Himawari-8 new-generation geostationary satellite data. Scientific Reports, 8(1): 1105
  19. 19.
    Stamnes K, Tsay S C, Wiscombe W and Jayaweera K. 1988. Numerically stable algorithm for discrete-ordinate-method radiative transfer in multiple scattering and emitting layered media. Applied Optics, 27(12): 2502–2509
  20. 20.
    Takenaka H, Nakajima T Y, Higurashi A, Higuchi A, Takamura T, Pinker R T and Nakajima T. 2011. Estimation of solar radiation using a neural network based on radiative transfer. Journal of Geophysical Research: Atmospheres, 116(D8): D08215
  21. 21.
    Tang W J, Qin J, Yang K, Liu S M, Lu N and Niu X L. 2016. Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data. Atmospheric Chemistry and Physics, 16(4): 2543–2557
  22. 22.
    Wei H L, Xu Q S and Zhao T S. 2003. Observation of solar irradiance at the surface from GMS-5. Journal of Remote Sensing, 7(6): 465–471
  23. 23.
    Wild M. 2009. Global dimming and brightening: a review. Journal of Geophysical Research: Atmospheres, 114(D10): D00D16
  24. 24.
    Yu Y, Xia X A, Chen H B, Wang Z H, Wang P C and Li Z Q. 2007. A comparasion between measured and modeled clear-sky surface solar irradiance. Acta Energiae Solaris Sinica, 28(3): 233–240
  25. 25.
    Zhang X T, Liang S L, Zhou G Q, Wu H R and Zhao X. 2014. Generating Global LAnd Surface Satellite incident shortwave radiation and photosynthetically active radiation products from multiple satellite data. Remote Sensing of Environment, 152: 318–332

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