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A Parameterized yet Accurate Model of Ozone and Water Vapor Transmittance in the Solar-to-near-infrared Spectrum


doi: 10.1007/s00376-011-1076-6

  • A parameterized transmittance model (PTR) for ozone and water vapor monochromatic transmittance calculation in the solar-to-near-infrared spectrum 0.3--4 μm with a spectral resolution of 5 cm-1 was developed based on the transmittance data calculated by Moderate-resolution Transmittance model (MODTRAN). Polynomial equations were derived to represent the transmittance as functions of path length and airmass for every wavelength~based on the least-squares method. Comparisons between the transmittances calculated using PTR and MODTRAN were made, using the results of MODTRAN as a reference. Relative root-mean-square error (RMSre) was 0.823% for ozone transmittance. RMSre values were 8.84% and 3.48% for water vapor transmittance ranges of 1--1×10-18 and 1--1×10-3, respectively. In addition, the Stratospheric Aerosol and Gas Experiment II (SAGEII) ozone profiles and University of Wyoming (UWYO) water vapor profiles were applied to validate the applicability of PTR model. RMSre was 0.437% for ozone transmittance. RMSre values were 8.89% and 2.43% for water vapor transmittance ranges of 1--1×10-18 and 1--1×10-6, respectively. Furthermore, the optical depth profiles calculated using the PTR model were compared to the results of MODTRAN. Absolute RMS errors (RMSab) for ozone optical depths were within 0.0055 and 0.0523 for water vapor at all of the tested altitudes. Finally, the comparison between the solar heating rate calculated from the transmittance of PTR and Line-by-Line radiative transfer model (LBLRTM) was performed, showing a maximum deviation of 0.238 K d-1 (6% of the corresponding solar heating rate calculated using LBLRTM). In the troposphere all of the deviations were within 0.08 K d-1. The computational speed of PTR model is nearly two orders of magnitude faster than that of MODTRAN.
  • [1] F. Momo TEMGOUA, L. Akana NGUIMDO, D. NJOMO, 2024: Two-Stream Approximation to the Radiative Transfer Equation: A New Improvement and Comparative Accuracy with Existing Methods, ADVANCES IN ATMOSPHERIC SCIENCES, 41, 278-292.  doi: 10.1007/s00376-023-2257-9
    [2] Wang Hongqi, Zhao Gaoxiang, 2002: Parameterization of Longwave Optical Properties for Water Clouds, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 25-34.  doi: 10.1007/s00376-002-0031-y
    [3] Qinghua YANG, Jiping LIU, Matti LEPPÄRANTA, Qizhen SUN, Rongbin LI, Lin ZHANG, Thomas JUNG, Ruibo LEI, Zhanhai ZHANG, Ming LI, Jiechen ZHAO, Jingjing CHENG, 2016: Albedo of Coastal Landfast Sea Ice in Prydz Bay, Antarctica: Observations and Parameterization, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 535-543.  doi: 10.1007/s00376-015-5114-7
    [4] LI Ying, HU Zeyong, 2009: A Study on Parameterization of Surface Albedo over Grassland Surface in the Northern Tibetan Plateau, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 161-168.  doi: 10.1007/s00376-009-0161-6
    [5] ZHANG Qiang, HUANG Ronghui, TIAN Hui, 2003: A Parameterization Scheme of Surface Turbulent Momentum and Sensible Heat over the Gobi Underlying Surface, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 111-118.  doi: 10.1007/BF03342055
    [6] Jinliang Liu, Han-Ru Cho, 2001: Effects of Topographic Slopes on Hydrological Proecsses and Climate, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 733-741.
    [7] GAO Zhqiiu, Qing WANG, ZHOU Mingyu, 2009: Wave-Dependence of Friction Velocity, Roughness Length, and Drag Coefficient over Coastal and Open Water Surfaces by Using Three Databases, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 887-894.  doi: 10.1007/s00376-009-8130-7
    [8] Fangyuan CHENG, Qinghua YANG, Changwei LIU, Bo HAN, Shijie PENG, Guanghua HAO, 2023: Evaluating Parameterizations for Turbulent Fluxes over the Landfast Sea-Ice Surface in Prydz Bay, Antarctica, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 1816-1832.  doi: 10.1007/s00376-023-2299-z
    [9] DAI Fushan, YU Rucong, ZHANG Xuehong, YU Yongqiang, LI Jianglong, 2005: Impacts of an Improved Low-Level Cloud Scheme on the Eastern Pacific ITCZ-Cold Tongue Complex, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 559-574.  doi: 10.1007/BF02918488
    [10] Zhao Bolin, Han Qingyuan, Zhu Yuanjing, 1985: A STUDY ON ABSORPTION CHARACTERISTICS OF THE ATMOSPHERIC WINDOW IN MICROWAVE BAND, ADVANCES IN ATMOSPHERIC SCIENCES, 2, 28-34.  doi: 10.1007/BF03179734
    [11] ZHANG Feng, ZENG Qingcun, Y.GU, K.N.LIOU, 2005: Parameterization of the Absorption of the H2O Continuum, CO2, O2, and Other Trace Gases in the Fu-Liou Solar Radiation Program, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 545-558.  doi: 10.1007/BF02918487
    [12] P.C.S. Devara, P. Ernest Raj, 1992: Atmospheric NO2 Concentration Measurements Using Differential Absorption Lidar Technique, ADVANCES IN ATMOSPHERIC SCIENCES, 9, 73-82.  doi: 10.1007/BF02656932
    [13] LI Lijuan, WANG Bin, Yuqing WANG, Hui WAN, 2007: Improvements in Climate Simulation with Modifications to the Tiedtke Convective Parameterization in the Grid-Point Atmospheric Model of IAP LASG (GAMIL), ADVANCES IN ATMOSPHERIC SCIENCES, 24, 323-335.  doi: 10.1007/s00376-007-0323-3
    [14] MA Yaoming, Massimo MENENTI, Reinder FEDDES, 2010: Parameterization of Heat Fluxes at Heterogeneous Surfaces by Integrating Satellite Measurements with Surface Layer and Atmospheric Boundary Layer Observations, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 328-336.  doi: 10.1007/s00376-009-9024-4
    [15] Zhao Ming, 1987: ON THE PARAMETERIZATION OF THE VERTICAL VELOCITY AT THE TOP OF PLANETARY BOUNDARY LAYER, ADVANCES IN ATMOSPHERIC SCIENCES, 4, 233-239.  doi: 10.1007/BF02677070
    [16] Ye Zhuojia, Roger A. Pielke, 1995: A Parameterization of Bowen Ratio with Respect to Soil Moisture Availability, ADVANCES IN ATMOSPHERIC SCIENCES, 12, 449-474.  doi: 10.1007/BF02657005
    [17] QIU Jinhuan, YANG Jingmei, 2008: Absorption Properties of Urban/Suburban Aerosols in China, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 1-10.  doi: 10.1007/s00376-008-0001-0
    [18] Liu Jinli, 1986: CALCULATIONS OF ABSORPTION, ATTENUATION, AND BACKSCATTERING OF HAILSTONES AND THEIR POSSIBLE APPLICATIONS, ADVANCES IN ATMOSPHERIC SCIENCES, 3, 454-465.  doi: 10.1007/BF02657935
    [19] Sun Shufen, Li Jingyang, 2001: A Sensitivity Study on Parameterization Scheme of Snow Internal and Interfacial Processes in Snow Model, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 910-928.
    [20] WU Tongwen, WANG Zaizhi, LIU Yimin, YU Rucong, WU Guoxiong, 2004: An Evaluation of the Effects of Cloud Parameterization in the R42L9 GCM, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 153-162.  doi: 10.1007/BF02915701

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Manuscript History

Manuscript received: 10 May 2012
Manuscript revised: 10 May 2012
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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A Parameterized yet Accurate Model of Ozone and Water Vapor Transmittance in the Solar-to-near-infrared Spectrum

  • 1. Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029

Abstract: A parameterized transmittance model (PTR) for ozone and water vapor monochromatic transmittance calculation in the solar-to-near-infrared spectrum 0.3--4 μm with a spectral resolution of 5 cm-1 was developed based on the transmittance data calculated by Moderate-resolution Transmittance model (MODTRAN). Polynomial equations were derived to represent the transmittance as functions of path length and airmass for every wavelength~based on the least-squares method. Comparisons between the transmittances calculated using PTR and MODTRAN were made, using the results of MODTRAN as a reference. Relative root-mean-square error (RMSre) was 0.823% for ozone transmittance. RMSre values were 8.84% and 3.48% for water vapor transmittance ranges of 1--1×10-18 and 1--1×10-3, respectively. In addition, the Stratospheric Aerosol and Gas Experiment II (SAGEII) ozone profiles and University of Wyoming (UWYO) water vapor profiles were applied to validate the applicability of PTR model. RMSre was 0.437% for ozone transmittance. RMSre values were 8.89% and 2.43% for water vapor transmittance ranges of 1--1×10-18 and 1--1×10-6, respectively. Furthermore, the optical depth profiles calculated using the PTR model were compared to the results of MODTRAN. Absolute RMS errors (RMSab) for ozone optical depths were within 0.0055 and 0.0523 for water vapor at all of the tested altitudes. Finally, the comparison between the solar heating rate calculated from the transmittance of PTR and Line-by-Line radiative transfer model (LBLRTM) was performed, showing a maximum deviation of 0.238 K d-1 (6% of the corresponding solar heating rate calculated using LBLRTM). In the troposphere all of the deviations were within 0.08 K d-1. The computational speed of PTR model is nearly two orders of magnitude faster than that of MODTRAN.

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