浏览全部资源
扫码关注微信
纸质出版日期： 2019-9 ，
录用日期： 2018-9-7
扫 描 看 全 文
马润, 胡斯勒图, 尚华哲, 阿娜日, 赫杰, 韩旭, 王子明. 2019. 基于葵花-8卫星大气产品的地表下行短波辐射计算. 遥感学报, 23(5): 924–934
Ma R, Husi L T, Shang H Z, A’na R, He J, Han X and Wang Z M. 2019. Estimation of downward surface shortwave radiation from Himawari-8 atmospheric products. Journal of Remote Sensing, 23(5): 924–934
地表下行短波辐射DSSR(Downward Surface Shortwave Radiation)的准确估算在气候变化研究和地表太阳能估算等领域具有重要作用。新一代静止气象卫星葵花-8(Himawari-8)具有高达10 min的对地观测能力，为DSSR近实时估算提供了新机遇。然而，日本宇宙航空研究开发机构(JAXA)对外公开的葵花-8辐射产品中，没有将其反演的云、气溶胶产品作为DSSR的输入参数，从而没有形成一整套的DSSR估算算法流程，缺乏产品输出的一致性。大气中的云、气溶胶是DSSR的重要影响因子，本文重点考虑云、气溶胶对太阳辐射的影响，基于大气辐射传输模式RSTAR构建了DSSR查找表，开发了DSSR的快速计算方法，进而将JAXA葵花-8二级云、气溶胶产品(光学厚度，粒子有效半径等)作为快速化计算方法的输入参量，计算得到了DSSR。通过与JAXA葵花-8二级DSSR产品(JAXA DSSR)对比，发现两者具有很好的空间一致性。为了进一步评价本文的DSSR计算精度，分别选取了陆地(Yonsei)和海洋(0n_165e)的观测数据验证了2016年4、7、10和12月本文计算的DSSR和同时期的JAXA DSSR产品，验证结果显示两者的DSSR在两个观测站点均具有非常高的相关性(全天空、晴空和云天条件下的相关系数
R
均大于0.88)。在两个站点云天条件下的验证结果中，考虑了云相态并在冰云模型中使用了非球形冰晶粒子(六棱柱)来计算DSSR，获得了比JAXA DSSR更小的偏差。本文提出的快速化计算方法能快速准确地计算DSSR，可为计算地表辐射收支等研究提供重要数据支撑。
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.
葵花-8卫星地表下行短波辐射辐射传输理论LUT
Himawari-8Downward Surface Shortwave Radiationradiative transfer theoryLUT
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
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
陈金娥, 李集明. 1997. 关于利用卫星数据计算西藏地区太阳能资源的研究. 太阳能学报, 18(2): 113–116
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
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
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
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
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
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
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
胡斯勒图, 包玉海, 许健, 青松, 包钢. 2015. 基于六角形和球形冰晶模型的卷云辐射特征研究. 光谱学与光谱分析, 35(5): 1165–1168
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
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
黎微微, 胡斯勒图, 陈洪滨, 尚华哲. 2017. 利用MODIS资料计算不同云天条件下的地表太阳辐射. 遥感技术与应用, 32(4): 643–650
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
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
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
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
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
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
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
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
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
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
魏合理, 徐青山, 张天舒. 2003. 用GMS-5气象卫星遥测地面太阳总辐射. 遥感学报, 7(6): 465–471
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
Wild M. 2009. Global dimming and brightening: a review. Journal of Geophysical Research: Atmospheres, 114(D10): D00D16
余予, 夏祥鳌, 陈洪滨, 王振会, 王普才, 李占清. 2007. 晴空大气太阳短波辐射观测与模式比较. 太阳能学报, 28(3): 233–240
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
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
相关文章
相关作者
相关机构
京公网安备11010802024621