大气可降水量卫星遥感反演不确定性对太阳总辐射模拟的影响

doi:10.11849/zrzyxb.20150431

摘要/Abstract

摘要： 辐射传输方程模拟法作为一种较为准确有效的太阳总辐射间接获得方法,其模拟精度受到代入方程的大气参数精度的影响。论文通过将香港2005—2013年卫星遥感反演的大气可降水量产品与地面站数据对比,以68.3%的置信水平分析了卫星遥感反演的大气可降水量的不确定性;并通过收集2005—2013年香港其他影响大气上界太阳辐射到达地表的大气参数,如气溶胶光学厚度、气溶胶单次散射反照率、臭氧含量综合模拟大气环境,确定了大气可降水量的不确定性在夏季和冬季对太阳总辐射模拟（250~2 800 nm）造成的相对误差。研究结果表明,受大气可降水量不确定性影响,使用辐射传输方程法模拟获得的太阳总辐射有1%~3%的相对误差。使用该方法冬季受大气可降水量不确定性影响程度比夏季大。决定相对误差大小的主要因素是波长,大气水汽吸收作用强的波长上,相对误差也大;其次因素是太阳天顶角,太阳天顶角越大,该方法模拟所得太阳总辐射相对误差越大。研究为大气可降水量参数不确定性影响下太阳总辐射模拟的误差评估提供了依据。

关键词: 不确定性, 大气可降水量, 辐射传输方程, 摄影测量与遥感, 太阳总辐射

Abstract: The radiative transfer equation simulation method is an accurate and effective way to obtain global solar radiation indirectly. However, the accuracy of this method is affected by the atmospheric parameters input into the equation. The satellite remote sensing retrieval of water vapor column is analyzed to be at 68.3% confidence level based on comparing the satellite remote sensing products with ground measured data in the period of 2005-2013 in Hong Kong. After collecting other related atmospheric parameters between 2005 and 2013, such as aerosol optical depth, aerosol single scattering albedo, and Total Column Ozone, which affect the transmission of solar radiation, the basic atmospheric environment is simulated. The relative error of global solar radiation simulation (250-2 800 nm) is obtained by running the radiative transfer calculation library in the basic atmospheric environment. The conclusion shows that the relative error of global solar radiation simulation is 1%-3%. The relative error is higher in winter than in summer. The primary factor that decides the relative error is wavelength. The relative error is bigger at the wavelength that has a strong absorption of water vapor. The secondary factor is solar zenith angle. The relative error is bigger to estimate global solar radiation with the radiative transfer simulation method when the solar zenith angle is bigger. The conclusion offers an important reference to the error control when using the radiative transfer equation simulation method to get the global solar radiation.

Key words: global solar radiation, photogrammetry and remote sensing, radiative transfer equation, uncertainty, water vapor column

中图分类号:

P426.616

饶俊峰, 张显峰, 练静芳. 大气可降水量卫星遥感反演不确定性对太阳总辐射模拟的影响[J]. 自然资源学报, 2016, 31(4): 639-648.

RAO Jun-feng, ZHANG Xian-feng, LIAN Jing-fang. The Impact of Uncertainty in Satellite Remote Sensing Retrieval of Water Vapor Column on Simulation of Global Solar Radiation[J]. JOURNAL OF NATURAL RESOURCES, 2016, 31(4): 639-648.

参考文献

[1] 贺芳芳, 顾旭东, 徐家良. 20 世纪 90 年代以来上海地区光能资源变化研究 [J]. 自然资源学报, 2006, 21(4): 559-566.

[2] RAPPENGLÜCK B, MELAS D, FABIAN P. Evidence of the impact of urban plumes on remote sites in the Eastern Mediterranean [J]. Atmospheric Environment, 2003, 37(13): 1853-1864.
[3] WEI J, WANG H. A possible role of solar radiation and ocean in the mid-Holocene East Asian monsoon climate [J]. Advances in Atmospheric Sciences, 2004, 21(1): 1-12.
[4] 谢贤群, 王菱. 中国北方近 50 年潜在蒸发的变化 [J]. 自然资源学报, 2007, 22(5): 683-691.

[5] GAUTAM R, HSU N C, LAU K M, et al. Aerosol and rainfall variability over the Indian monsoon region: Distributions, trends and coupling [J]. Annales Geophysicae, 2009, 27(9): 3691-3703.
[6] HUNT S. Effects of irradiance on photosynthetic CO 2 uptake and chlorophyll fluorescence [C]// Karcher S J. Tested Stu-dies for Laboratory Teaching, Volume 21. Proceedings of the 21st Workshop/Conference of the Association for Biology Laboratory Education (ABLE), 2000: 225-247.
[7] GIESEN R H, VAN DEN BROEKE M R, OERLEMANS J, et al. Surface energy balance in the ablation zone of Midtdalsbreen, a glacier in southern Norway: Interannual variability and the effect of clouds [J]. Journal of Geophysical Research: Atmospheres (1984-2012), 2008, 113: 6089-6098. doi:10.1029/2008JD010390.
[8] IPCC. Climate Change 2007—The Physical Science Basis: Working Group I Contribution to the Fourth Assessment Report of the IPCC [M]. Cambridge University Press, 2007.
[9] OHVRIL H, TERAL H, NEIMAN L, et al. Global dimming and brightening versus atmospheric column transparency, Europe, 1906-2007 [J]. Journal of Geophysical Research: Atmospheres (1984-2012), 2009, 114: 1588-1593. doi:10.1029/2008JD010644.
[10] NORRIS J R, WILD M. Trends in aerosol radiative effects over Europe inferred from observed cloud cover, solar “dimming,” and solar “brightening” [J]. Journal of Geophysical Research: Atmospheres (1984-2012), 2007, 112(D8). doi:10.1029/2006JD007794.
[11] 申彦波, 赵宗慈, 石广玉. 地面太阳辐射的变化, 影响因子及其可能的气候效应最新研究进展 [J]. 地球科学进展, 2008, 23(9): 915-924.

[12] HAIGH J D, WINNING A R, TOUMI R, et al. An influence of solar spectral variations on radiative forcing of climate [J]. Nature, 2010, 467(7316): 696-699.
[13] MERKEL A W, HARDER J W, MARSH D R, et al. The impact of solar spectral irradiance variability on middle atmospheric ozone [J]. Geophysical Research Letters, 2011, 38(13), L13802, doi:10.1029/2011GL047561.
[14] SHAPIRO A I, SCHMUTZ W, ROZANOV E, et al. A new approach to the long-term reconstruction of the solar irradiance leads to large historical solar forcing [J]. Astronomy & Astrophysics, 2011, 529: A67.
[15] SHAPIRO A V, ROZANOV E, EGOROVA T, et al. Sensitivity of the Earth’s middle atmosphere to short-term solar variability and its dependence on the choice of solar irradiance data set [J]. Journal of Atmospheric and Solar-Terrestrial Physics, 2011, 73(2): 348-355.
[16] SHAPIRO A V, ROZANOV E V, SHAPIRO A I, et al. The role of the solar irradiance variability in the evolution of the middle atmosphere during 2004-2009 [J]. Journal of Geophysical Research: Atmospheres, 2013, 118(9): 3781-3793.
[17] OBERLÄNDER S, LANGEMATZ U, MATTHES K, et al. The influence of spectral solar irradiance data on stratosphe-ric heating rates during the 11 year solar cycle [J]. Geophysical Research Letters, 2012, 39(1): 1801-1806.
[18] ANGSTROM A. Solar and terrestrial radiation. Report to the international commission for solar research on actinometric investigations of solar and atmospheric radiation [J]. Quarterly Journal of the Royal Meteorological Society, 1924, 50(210): 121-126.
[19] MUBIRU J, BANDA E. Estimation of monthly average daily global solar irradiation using artificial neural networks [J]. Solar Energy, 2008, 82(2): 181-187.
[20] TYMVIOS F S, JACOVIDES C P, MICHAELIDES S C, et al. Comparative study of Ångström’s and artificial neural networks’ methodologies in estimating global solar radiation [J]. Solar Energy, 2005, 78(6): 752-762.
[21] REHMAN S, MOHANDES M. Artificial neural network estimation of global solar radiation using air temperature and relative humidity [J]. Energy Policy, 2008, 36(2): 571-576.
[22] PIRI J, SHAMSHIRBAND S, PETKOVIĆ D, et al. Prediction of the solar radiation on the Earth using support vector regression technique [J]. Infrared Physics & Technology, 2015, 68: 179-185.
[23] KADIRGAMA K, AMIRRUDDIN A K, BAKAR R A. Estimation of solar radiation by artificial networks: East Coast Malaysia [J]. Energy Procedia, 2014, 52: 383-388.
[24] WAEWSAK J, CHANCHAM C, MANI M, et al. Estimation of monthly mean daily global solar radiation over Bangkok, Thailand using artificial neural networks [J]. Energy Procedia, 2014, 57: 1160-1168.
[25] 王延慧, 史玉光, 何清, 等. 短波辐射研究概述 [J]. 沙漠与绿洲气象, 2013, 7(2): 68-73.

[26] RANGASAYI N, HALTHORE, STEPHEN E, et al. Comparison of model estimated and measured directnormal solar irradiance [J]. Journal of Geophysical Research, 1997, 102(D25): 29991-30002.
[27] KATO S, ACKERMAN T P, DUTTON E G, et al. A comparison of modeled and measured surface shortwave irradiance for a molecular atmosphere [J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 1999, 61(4): 493-502.
[28] 傅炳珊, 陈渭民, 张凤英. 利用TOVS资料计算我国东南地区的太阳直接辐射和散射辐射 [J]. 南京气象学院学报, 2002, 25(6): 807-815.

[29] DE MIGUEL A, MATEOS D, BILBAO J, et al. Sensitivity analysis of ratio between ultraviolet and total shortwave solar radiation to cloudiness, ozone, aerosols and precipitable water [J]. Atmospheric Research, 2011, 102(1): 136-144.
[30] ROMÁN R, BILBAO J, DE MIGUEL A. Uncertainty and variability in satellite-based water vapor column, aerosol optical depth and Angström exponent, and its effect on radiative transfer simulations in the Iberian Peninsula [J]. Atmospheric Environment, 2014a, 89: 556-569.
[31] ROMÁN R, BILBAO J, DE MIGUEL A. Solar radiation simulations in the Iberian Peninsula: Accuracy and sensitivity to uncertainties in inputs of a radiative transfer model [J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2014b, 145: 95-109.
[32] HOLBEN B N, ECK T F, SLUTSKER I, et al. AERONET—A federated instrument network and data archive for aerosol characterization [J]. Remote Sensing of Environment, 1998, 66(1): 1-16.
[33] HOLBEN B N, TANRE D, SMIRNOV A, et al. An emerging ground-based aerosol climatology: Aerosol optical depth from AERONET [J]. Journal of Geophysical Research: Atmospheres (1984-2012), 2001, 106(D11): 12067-12097.
[34] SMIRNOV A, HOLBEN B N, ECK T F, et al. Cloud-screening and quality control algorithms for the AERONET database [J]. Remote Sensing of Environment, 2000, 73(3): 337-349.
[35] KAUFMAN Y J, GAO B C. Remote sensing of water vapor in the near IR from EOS/MODIS [J]. IEEE Transactions on Geoscience and Remote Sensing, 1992, 30(5): 871-884.
[36] GAO B C, GOETZ A F H. Column atmospheric water vapor and vegetation liquid water retrievals from airborne ima-ging spectrometer data [J]. Journal of Geophysical Research: Atmospheres (1984-2012), 1990, 95(D4): 3549-3564.
[37] KING M D, KAUFMAN Y J, MENZEL W P, et al. Remote sensing of cloud, aerosol, and water vapor properties from the Moderate Resolution Imaging Spectrometer (MODIS) [J]. IEEE Transactions on Geoscience and Remote Sensing, 1992, 30(1): 2-27.
[38] KYLLING A, STAMNES K, TSAY S C. A reliable and efficient two-stream algorithm for spherical radiative transfer: Documentation of accuracy in realistic layered media [J]. Journal of Atmospheric Chemistry, 1995, 21(2): 115-150.
[39] KURUCZ R L. Model atmospheres for population synthesis [M]// The Stellar Populations of Galaxies. Springer Netherlands, 1992: 225-232.
[40] WANG K, ZHOU X, LIU J, et al. Estimating surface solar radiation over complex terrain using moderate-resolution satellite sensor data [J]. International Journal of Remote Sensing, 2005, 26(1): 47-58.