Zheng Xiangdong, Zhao Yong. Performance of domestically made surface solar radiation observation system at Zhongshan Station, Antarctica. J Appl Meteor Sci, 2023, 34(3): 348-361. DOI:  10.11898/1001-7313.20230308.
Citation: Zheng Xiangdong, Zhao Yong. Performance of domestically made surface solar radiation observation system at Zhongshan Station, Antarctica. J Appl Meteor Sci, 2023, 34(3): 348-361. DOI:  10.11898/1001-7313.20230308.

Performance of Domestically Made Surface Solar Radiation Observation System at Zhongshan Station, Antarctica

DOI: 10.11898/1001-7313.20230308
  • Received Date: 2022-12-09
  • Rev Recd Date: 2023-03-27
  • Publish Date: 2023-05-31
  • Solar irradiance is one important element in conventional meteorology observations. Long-term observations of solar radiation by using China-made wide-band pyranometers have been carried out. However, the performance of instrumental systems is not sufficiently evaluated or analyzed, especially in the polar regions where harsh condition and large seasonal variations of solar elevation causes dramatic variation of surface solar irradiance. To fill this gap, the performance of the domestically made solar radiation observation systems at Zhongshan Station, Antarctica in 2017, including global solar radiation (GSR), direct solar radiation (DIR) and the diffuse solar radiation (DIF) measurements, is evaluated. The averaged nighttime thermal offsets of two domestic FS-6A pyranometers, respectively for GSR and DIF observations, are both less than 3 W·m-2, and their temporal variations are highly consistent. Compared with CM21 or CM22 pyranometer that reach the requirement of the second-class standard and are globally deployed, the additional heating effect of the auxiliary ventilation heater of FS-6A pyranometers significantly reduces the inherently physically-based correlation coefficient between the night thermal offset and the net longwave radiation, and the absolute values of FS-6A thermal offset significantly increase but are within 5 W·m-2 under higher wind speeds (noless than 15 m·s-1). The temporal variations of solar DIF irradiances from two FS-6A pyranometers are highly consistent under cloudy overcast condition, and their solar irradiance values are systemically lower (about -6 W·m-2 or -1%) than that of CM22 as the solar DIF irradiance is about 500 W·m-2 from CM22. However, the absolute (relative) difference is respectively lower than 2.6 W·m-2 (4.0%) as the solar zenith angle (θ) is less than 86 °. The GSR close examination suggests that the ratio of FS-6A GSR absolute difference from the sum of horizontally projected DIR and DIF meeting the requirement of threshold value (less than 2% or 15 W·m-2 with θ≤ 80°) proposed by the baseline surface radiation network (BSRN) is more than 80%. But only 44% samples meet the requirement of the BSRN threshold value (less than 3.5% or 20 W·m-2 with θ> 80°) when the four-quadrant tracking solar disk model is applied in operation. Under cloud-free condition, the measurements of GSR, DIR and DIF from the domestically made instruments are well comparable with the simulations from the parameterized solar radiation model that has been extensively applied in middle-low latitudes, and the correlation coefficients between the simulations and observations are more than 0.95. However, the observations are significantly higher than the simulations as the solar irradiance increases. The results suggest that China domestically made solar radiation observation system is fully qualified for the routine observation in polar regions.
  • Fig. 1  Hourly night-time thermal offset in pyranometers for GSR observations by FS-6A, CM21 and CM22, and for DIF observations by FS-6A in 2017

    Fig. 2  Relationship between hourly night-time thermal offset and the net longwave radiation for GSR observations by FS-6A, CM21 and CM22, and for DIF observations by FS-6A

    Fig. 3  Relationship between hourly night-time thermal offset and wind speed for GSR observations by FS-6A, CM21 and CM22, and for DIF observations by FS-6A

    Fig. 4  Comparison of the 20-minute average GSR measured by FS-6A with those by CM21(a) and CM22(b) under all weather conditions

    Fig. 5  Hourly irradiance from the pyranometers of FS-6A GSR, FS-6A DIF and CM21 GSR observations compared with those by CM22 under cloudy overcast condition

    Fig. 6  Consistence of measured GSR irradiances

    Fig. 7  Comparisons of hourly GSR, DIR and DIF between observations and model simulations under cloud-free condition

    Table  1  Main specifications of pyranometers deployed at Zhongshan Station and those meet ISO9060 standards

    性能 FS-6A** CM21 CM22 ISO9060(二等标准表) ISO9060(一级日射表)
    优化测量的光谱范围/nm 280~3200 310~2800 200~3600
    热偏移热辐射
    (净热辐射200 W·m-2)/(W·m-2)
    <15 <15 <3 <7 <15
    余弦效应/(W·m-2)* ±20 ±10 ±5 ±10 ±30
    95%响应时间/s 18 5 5 <10 <30
    辐照度测量范围/(W·m-2) 0~1400 0~4000 0~4000
    小时测量误差/% 2 2 3 8
    日测值误差/% ±5 2 2 2 5
    注:*表示法线方向入射辐照度为1000 W·m-2的光束从入射角到80°时的任何方向测量时引起的误差范围, **表示该仪器由厂家标定,其余仪器一般由国家级气象计量站定期标定。
    DownLoad: Download CSV

    Table  2  The mean of absolute bias and relative bias of GSR and DIF between FS-6A and CM22 under cloudy overcast condition

    统计量 θ<80° 80°≤θ≤86°
    GSR DIF GSR DIF
    小时平均绝对差值/(W·m-2) 1.7±1.3 2.6±1.6 0.6±0.7 0.7±0.6
    小时平均相对差值/% 1.1 ±0.7 1.8±0.7 3.5±4.4 3.8±4.7
    日平均绝对差值/(W·m-2) 1.7±1.4 2.5±1.6 0.6±0.5 0.7±0.6
    日平均相对差值/% 1.1±1.0 2.6±1.9 3.3±4.8 3.7±4.7
    月平均绝对差值/(W·m-2) 1.5±0.7 2.3±1.2 0.5±0.2 0.7±0.2
    月平均相对差值/% 0.9±0.3 1.4±0.6 2.2±1.3 2.7±1.4
    注:所有数值均为绝对差值的平均值±1个标准差。
    DownLoad: Download CSV
  • [1]
    Cheng C S. Solar radiation observation of Mount Tai-shan observatory. Acta Meteor Sinica, 1956, 27(3): 181-194. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXB195603001.htm
    [2]
    Cheng C S, Yan K W. Advances in research on meteorological observation technology and instruments in China in recent ten years. Acta Meteor Sinica, 1959, 30(3): 212-217. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXB195903003.htm
    [3]
    Wang B Z, Mo Y Q, Yang Y, et al. Modern Solar and Earth Radiation Measurements and Standards. Beijing: China Meteorological Press, 2018.
    [4]
    Li X W, Li W L, Zhou X J. Analysis of the solar radiation variations of China region in recent 30 years. J Appl Meteor Sci, 1998, 9(1): 24-31. http://qikan.camscma.cn/article/id/19980104
    [5]
    Li D P, Cheng X H, Sun Z A, et al. Radiative effects of aerosols in different region areas of Beijing. J Appl Meteor Sci, 2018, 29(5): 609-618. doi:  10.11898/1001-7313.20180509
    [6]
    Bian L G, Jia P Q, Lu L H, et al. Observational study on the variation of surface energy flux at Zhongshan Station in Antarctica in 1990. Science China(Series B), 1992, 11: 1223-1232. https://www.cnki.com.cn/Article/CJFDTOTAL-JBXK199211014.htm
    [7]
    China Meteorological Administration. Methods of Meteorological Radiation Observation. Beijing: China Meteorological Press, 2018.
    [8]
    Shi G Y, Hayasaka T, Ohmura A, et al. Data quality assessment and the long-term trend of ground solar radiation in China. J Appl Meteor Climatol, 2008, 47(4): 1006-1016. doi:  10.1175/2007JAMC1493.1
    [9]
    Iqbal M. An Introduction to Solar Radiation. Vol XVⅢ. Toronto: Academic Press, 1983.
    [10]
    Tooming H. Dependence of global radiation on cloudiness and surface albedo in Tartu, Estonia. Theor Appl Climatol, 2002, 72(1): 165-172. doi:  10.1007/s00704-002-0671-y
    [11]
    Wang D, Sheng L F, Shi G Y, et al. Comparison of surface solar radiation reanalysis data and observations over China. J Appl Meteor Sci, 2012, 23(6): 729-738. doi:  10.3969/j.issn.1001-7313.2012.06.010
    [12]
    Liu B, Ma L B, Rong X Y, et al. High-resolution model for seasonal prediction of surface shortwave radiation in China. J Appl Meteor Sci, 2022, 33(3): 341-352. doi:  10.11898/1001-7313.20220308
    [13]
    Yang Y, Quan J M, Ding L, et al. National solar radiation measurement standards and quality control. J Appl Meteor Sci, 2015, 26(1): 95-102. doi:  10.11898/1001-7313.20150110
    [14]
    Michel D, Philipona R, Ruckstuhl C, et al. Performance and uncertainty of CNR1 net radiometers during a one-year field comparison. J Atmos Oceanic Technol, 2008, 25(3): 442-451. doi:  10.1175/2007JTECHA973.1
    [15]
    Sanchez G, Cancillo M L, Serrano A. An intercomparison of the thermal offset for different pyranometers. J Geophys Res Atmos, 2016, 121: 7901-7912. doi:  10.1002/2016JD024815
    [16]
    Kipp Zonen Manual CMP CMA series Pyranometers albedometers V1610. pdf. [2022-09-07]. http://www.kippzonen.com.
    [17]
    Gubler S, Gruber S, Purves R S. Uncertainties of parameterized surface downward clear-sky shortwave and all-sky longwave radiation. Atmos Chem Phys, 2012, 2(11): 5077-5098.
    [18]
    Liu M Q, Zhao C S, Zheng X D. Analysis of summer downward longwave radiation observation at 4 stations in Tibet. J Appl Meteor Sci, 2018, 29(5): 596-608. doi:  10.11898/1001-7313.20180508
    [19]
    Liu M Q, Zheng X D, Zhang J Q, et al. A revisiting of the parametrization of downward longwave radiation in summer over the Tibetan Plateau based on high-temporal-resolution measurements. Atmos Chem Phys, 2020, 20(11): 4415-4426.
    [20]
    Jiangsu Radio Science and Technology Research Institute Co., Ltd. FUSH-RS Radiation Observation Station User's Manual. Wuxi: Jiangsu Radio Science and Technology Research Institute Co., Ltd., 2015.
    [21]
    McArthur L J B. Baseline Surface Radiation Network(BSRN) Operations Manual Version 2.1. WCRP-121, WMO/TD-No. 1274, Geneva: WMO, 2005.
    [22]
    World Meteorological Organization(WMO). Guide to Meteorological Instruments and Methods of Observation. WMO-No. 8, Geneva: WMO, 1996.
    [23]
    Song J Y, Zheng X D, Cheng X H, et al. Quality evaluations and comparisons of radiation data at Lin'an and Longfengshan Stations. J Appl Meteor Sci, 2013, 24(1): 65-74. http://qikan.camscma.cn/article/id/20130107
    [24]
    Quan W J, Chen H B, Gao Y H, et al. The quality evaluation of solar radiation data measured in Shangdianzi background station. Plateau Meteor, 2009, 28(1): 136-142. https://www.cnki.com.cn/Article/CJFDTOTAL-GYQX200901017.htm
    [25]
    Cheng X H, Zhang X L, Zheng X D, et al. Characteristics of thermal offset of a precision spectral pyranometer(PSP) and its error in global solar radiation measurements. Acta Energiae Solaris Sinica, 2009, 30(1): 19-26. https://www.cnki.com.cn/Article/CJFDTOTAL-TYLX200901006.htm
    [26]
    Yang Y, Ding L, Cheng X H, et al. Thermal offset correction methods for sensitivity of PSP pyranometer. J Appl Meteor Sci, 2012, 23(5): 585-592. http://qikan.camscma.cn/article/id/20120509
    [27]
    Bush B C, Valero F P J, Simpson A S. Characterization of thermal effects in pyranometers: A data correction algorithm for improved measurement of surface insolation. J Atmos Oceanic Technol, 2000, 17: 165-175.
    [28]
    Haeffelin M, Kato S, Smith A M, et al. Determination of the thermal offset of the Eppley precision spectral pyranometer. Appl Opt, 2001, 4: 472-484.
    [29]
    Zhang Y, Seidel D J, Golaz J C, et al. Climatological characteristics of Arctic and Antarctic surface-based inversions. J Climate, 2011, 24: 5167-5186.
    [30]
    Nygärd T, Valkonen T, Vihma T. Antarctic low tropospheric humidity inversions: 10-yr Climatology. J Climate, 2013, 26: 5205-5219.
    [31]
    Vignon T, Traullé O, Berne A. On the fine vertical structure of the low troposphere over the coastal margins of East Antarctica. Atmos Chem Phys, 2019, 19: 4659-4683.
    [32]
    Zhang X J, Ruan X, Wang G A, et al. Comparative analysis of solar radiation observation data between domestic instruments and Holland CM6B. Meteor Sci Technol, 2017, 45(6): 1002-1005;1016. https://www.cnki.com.cn/Article/CJFDTOTAL-QXKJ201706008.htm
    [33]
    Qiu J H, Xu X F, Yang J M. Accuracy evaluation of the observational data of the global solar radiation at 7 meteorological observatories including Beijing. J Appl Meteor Sci, 2008, 19(2): 287-296. http://qikan.camscma.cn/article/id/20080348
    [34]
    Chen A J, Zhou F, Liang X W, et al. Temporal and spatial distribution of MODIS surface albedo retrieval results in China. Trans Atmos Sci, 2018, 41(2): 267-274. https://www.cnki.com.cn/Article/CJFDTOTAL-NJQX201802013.htm
    [35]
    Tomasi C, Kokhanovskya A A, Lupia A, et al. Aerosol remote sensing in polar regions. Earth-Science Review, 2015, 140: 104-158. https://www.sciencedirect.com/science/article/pii/S0012825214001913
    [36]
    Zheng X D, Chen H X. Comparisons of solar ultraviolet irradiance measurements at Zhongshan Station, Antarctica. J Appl Meteor Sci, 2020, 31(4): 482-493. doi:  10.11898/1001-7313.20200410
    [37]
    Dutton E G, Michalsky J J, Stoffel T, et al. Measurement of broadband diffuse solar irradiance using current commercial instrumentation with a correction for thermal offset errors. J Atmos Oceanic Technol, 2001, 18: 297-314.
    [38]
    Reda I, Hickey J, Long C, et al. Using a blackbody to calculate net longwave responsivity of shortwave solar pyranometers to correct for their thermal offset error during outdoor calibration using the component sum method. J Atmos Oceanic Technol, 2005, 22(10): 1531-1540.
    [39]
    Sanchez G, Serrano A, Cancillo M L. Effect of mechanical ventilation on the thermal offset of pyranometers during cloud-free summer conditions. J Atmos Oceanic Technol, 2017, 34(5): 1155-1173.
    [40]
    Serrano A, Sanchez G, Cancillo M L. Correcting daytime thermal offset in unventilated pyranometers. J Atmos Oceanic Technol, 2015, 32(11): 2088-2099.
    [41]
    Baumgartner D J, Pötzi W, Freislich H, et al. An automated method for the evaluation of the pointing accuracy of sun-tracking devices. Atmos Meas Technol, 2017, 10(3): 1181-1190.
    [42]
    Wang P, Knap W H, Kuipers P, et al. Clear-sky shortwave radiative closure for the Chabauw baseline surface radiation network site, Netherlands. J Geophys Res, 2009, 114: D14206. doi:  10.1029/2009JD011978
  • 加载中
  • -->

Catalog

    Figures(7)  / Tables(2)

    Article views (2141) PDF downloads(50) Cited by()
    • Received : 2022-12-09
    • Accepted : 2023-03-27
    • Published : 2023-05-31

    /

    DownLoad:  Full-Size Img  PowerPoint