Cloud Radiative Forcing Induced by Layered Clouds and Associated Impact on the Atmospheric Heating Rate

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  • Corresponding author: HUANG Jianping
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Supported by the National (Key) Basic Research and Development (973) Program of China (2012CB955301), Key Program of the National Natural Science Foundation of China (41430425 and 41205015), and China 111 Project (B13045).

DOI: 10.1007/s13351-015-5078-7

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    Abstract

  • Abstract

    A quantitative analysis of cloud fraction, cloud radiative forcing, and cloud radiative heating rate (CRH) of the single-layered cloud (SLC) and the multi-layered cloud (MLC), and their differences is presented, based on the 2B-CLDCLASS-LIDAR and 2B-FLXHR-LIDAR products on the global scale. The CRH at a given atmospheric level is defined as the cloudy minus clear-sky radiative heating rate. The statistical results show that the globally averaged cloud fraction of the MLC (24.9%), which is primarily prevalent in equatorial regions, is smaller than that of the SLC (46.6%). The globally averaged net radiative forcings (NET CRFs) induced by the SLC (MLC) at the top and bottom of the atmosphere (TOA and BOA) and in the atmosphere (ATM) are -60.8 (-40.9), -67.5 (-49.6), and 6.6 (8.7) W m-2, respectively, where the MLC contributes approximately 40.2%, 42.4%, and 57% to the NET CRF at the TOA, BOA, and in the ATM, respectively. The MLC exhibits distinct differences to the SLC in terms of CRH. The shortwave CRH of the SLC (MLC) reaches a heating peak at 9.75 (7.5) km, with a value of 0.35 (0.60) K day-1, and the differences between SLC and MLC transform from positive to negative with increasing altitude. However, the longwave CRH of the SLC (MLC) reaches a cooling peak at 2 (8) km, with a value of -0.45 (-0.42) Kday-1, and the differences transform from negative to positive with increasing altitude. In general, the NETCRH differences between SLC and MLC are negative below 7.5 km. These results provide an observational basis for the assessment and improvement of the cloud parameterization schemes in global models.
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  • Behrangi, A., T. Kubar, and B. H. Lambrigtsen, 2012: Phenomenological description of tropical clouds us-ing CloudSat cloud classification. Mon. Wea. Rev.,140, 3235-3249.
    Cess, R. D., G. L. Potter, J. P. Blanchet, et al., 1989: In-terpretation of cloud-climate feedback as produced by 14 atmospheric general circulation models. Sci-ence, 245, 513-516.
    Chen, C., and W. R. Cotton, 1987: The physics of the marine stratocumulus-capped mixed layer. J. At-mos. Sci., 44, 2951-2977.
    Chen, T., W. B. Rossow, and Y. C. Zhang, 2000: Radia-tive effects of cloud-type variations. J. Climate, 13,264-286.
    Christensen, M. W., G. Carrio, G. L. Stephens, et al.,2013: Radiative impacts of free-tropospheric clouds on the properties of marine stratocumulus. J. At-mos. Sci., 70, 3102-3118.
    Chen Yonghang, Huang Jianping, Ge Jinming, et al.,2006: Cloud properties and its relation to precipi-tation over Northwest China. Acta Meteor. Sinica,20, 23-30.
    Chen Yonghang, Bai Hongtao, Huang Jianping, et al.,2008: Comparison of cloud radiative forcing on the earth-atmosphere system over northwestern China with respect to typical geo-topography regions. China Environ. Sci., 28, 97-101. (in Chinese)
    Ding Xiaodong, Huang Jianping, Li Jiming, et al., 2012: Study on cloud vertical structure feature over North-west China based on active satellite remote sensing and its influence on precipitation enhancement. J. Arid Meteor., 30, 529-538. (in Chinese)
    Fu Yunfei, 2014: Cloud parameters retrieved by the bispectral reflectance algorithm and associated ap-plications. J. Meteor. Res., 28, 965-982.
    Fung, I. Y., D. E. Harrison, and A. A. Lacis, 1984: On the variability of the net longwave radiation at the ocean surface. Rev. Geophys., 22, 177-193.
    Hartmann, D. L., V. Ramanathan, A. Berroir, et al.,1986: Earth radiation budget data and climate re-search. Rev. Geophys., 24, 439-468.
    Hartmann, D. L., M. E. Ockert-Bell, and M. L. Michelsen,1992: The effect of cloud type on earth's energy bal-ance: Global analysis. J. Climate, 5, 1281-1304.
    Haynes, J. M., C. Jakob, W. B. Rossow, et al., 2011: Ma-jor characteristics of southern ocean cloud regimes and their effects on the energy budget. J. Atmos. Sci., 24, 5061-5080.
    Haynes, J. M., T. H. V. Haar, T. L'Ecuyer, et al., 2013: Radiative heating characteristics of earth's cloudy atmosphere from vertically resolved active sensors. Geophys. Res. Lett., 40, 624-630.
    Henderson, D., T. L'Ecuyer, G. Stephens, et al., 2013: A multisensor perspective on the radiative impacts of clouds and aerosols. J. Appl. Meteor. Climatol.,52, 853-871.
    Huang, J. P., P. Minnis, B. Lin, et al., 2005: Advanced retrievals of multilayered cloud properties using mul-tispectral measurements. J. Geophys. Res., 110,1275-1287.
    Huang, J. P., B. Lin, P. Minnis, et al., 2006a: Satellite-based assessment of possible dust aerosols semi-direct effect on cloud water path over East Asia. Geophys. Res. Lett., 33, L19802, doi: 10.1029/2006GL026561.
    Huang, J. P., P. Minnis, B. Lin, et al., 2006b: Deter-mination of ice water path in ice-over-water cloud systems using combined MODIS and AMSR-E mea-surements. Geophys. Res. Lett., 33, 1522-1534.
    Huang, J. P., P. Minnis, B. Lin, et al., 2006c: Possible influences of Asian dust aerosols on cloud proper-ties and radiative forcing observed from MODIS and CERES. Geophys. Res. Lett., 33, L06824, doi: 10.1029/2005GL024724.
    Hu, Y. X., S. Rodier, K. M. Xu, et al., 2010: Occurrence, liquid water content, and fraction of supercooled water clouds from combined CALIOP/IIR/MODIS measurements. J. Geophys. Res., 115, D00H34, doi: 10.1029/2009JD012384.
    L'Ecuyer, T. S., N. B. Wood, T. Haladay, et al., 2008: Impacts of clouds on atmospheric heating based on the R04 CloudSat fluxes and heating rates data set. J. Geophys. Res., 113, D00A15, doi: 10.1029/2008JD009951.
    Li, J. M., Y. H. Yi, P. Minnis, et al., 2011: Radiative effect differences between multi-layered and single-layer clouds derived from CERES, CALIPSO, and CloudSat data. J. Quant. Spectrosc. Radiat. Trans-fer, 112, 361-375.
    Li, J. M., J. P. Huang, K. Stamnes, et al., 2015: A global survey of cloud overlap based on CALIPSO and CloudSat measurements. Atmos. Chem. Phys., 15,519-536.
    Li Jiming, Huang Jianping, Yi Yuhong, et al., 2009: Analysis of vertical distribution of cloud in East Asia by space-based lidar data. Chinese J. Atmos. Sci., 33, 698-707. (in Chinese)
    Liang, X. Z., and X. Q. Wu, 2005: Evaluation of a GCM subgrid cloud-radiation interaction parameterization using cloud-resolving model simulations. Geophys. Res. Lett., 32, 347-354.
    Liou, K. N., and Q. L. Zheng, 1984: A numerical exper-iment on the interactions of radiation, clouds and dynamic processes in a general circulation model. J. Atmos. Sci., 41, 1513-1536.
    Liu Jingjing, Chen Bin, and Huang Jianping, 2014: Discrimination and validation of clouds and dust aerosol layers over the Sahara desert with combined CALIOP and IIR measurements. J. Meteor. Res.,28, 185-198.
    Mace, G. G., D. Vane, G. Stephens, et al., 2007: Level 2 radar-lidar GEOPROF product version 1.0 process description and interface control document. JPL, Pasadena, USA, 1-20.
    Min, Q. L., T. H. Wang, C. N. Long, et al., 2008: Es-timating fractional sky cover from spectral mea-surements. J. Geophys. Res., 113, D20208, doi: 10.1029/2008JD010278.
    Minnis, P., J. P. Huang, B. Lin, et al., 2007: Ice cloud properties in ice-over-water cloud systems using Tropical Rainfall Measuring Mission (TRMM) vis-ible and infrared scanner and TRMM Microwave Imager data. J. Geophys. Res., 112, 541-553.
    Morcrette, J. J., and C. Jakob, 2000: The response of the ECMWF model to changes in the cloud overlap assumption. Mon. Wea. Rev., 128, 1707-1732.
    Peng Jie, Zhang Hua, and Shen Xinyong, 2013: Analy-sis of vertical structure of clouds in East Asia with CloudSat data. Chinese J. Atmos. Sci., 37, 91-100. (in Chinese)
    Randall, D. A., J. A. Coakley Jr., D. H. Lenschow, et al.,1984: Outlook for research on subtropical marine stratification clouds. Bull. Amer. Meteor. Soc., 65,1290-1301.
    Ritter, B., and J. F. Geleyn, 1992: A comprehensive radiation scheme for numerical weather prediction models with potential applications in climate simu-lations. Mon. Wea. Rev., 120, 303-325.
    Rossow, W. B., and A. A. Lacis, 1990: Global, seasonal cloud variations from satellite radiance measure-ments. Part II: Cloud properties and radiative ef-fects. J. Climate, 3, 1204-1253.
    Slingo, A., 1990: Sensitivity of the earth's radiation bud-get to changes in low clouds. Nature, 343, 49-51.
    Stephens, G. L., P. M. Gabriel, and P. T. Partain, 2001: Parameterization of atmospheric radiative transfer. Part I: Validity of simple models. J. Atmos. Sci.,58, 3391-3409.
    Su, J., J. P. Huang, Q. Fu, et al., 2008: Estimation of Asian dust aerosol effect on cloud radiation forcing using Fu-Liou radiative model and CERES measure-ments. Atmos. Chem. Phys., 8, 2763-2771.
    Tian, L., and J. A. Curry, 1989: Cloud overlap statistics.J. Geophys. Res., 94, 9925-9935.
    Trenberth, K. E., and J. T. Fasullo, 2010: Simulation of present-day and twenty-first-century energy budgets of the southern oceans. J. Climate, 23, 440-454.
    Wang Fang and Ding Yihui, 2005: An evaluation of cloud radiative feedback mechanism in climate models. Adv. Earth Sci., 20, 207-215. (in Chinese)
    Wang Fang, Ding Yihui, and Xu Ying, 2007: Cloud and radiation processes simulated by a coupled atmosphere-ocean model. Acta Meteor. Sinica,21, 397-408.
    Wang Hongqi and Zhao Gaoxiang, 1994: Cloud and radi-ation (I): Cloud climatology and radiative effects of clouds. Scientia Atmospheric Sinica, 18, 910-921. (in Chinese)
    Wang, J. H., W. B. Rossow, and Y. C. Zhang, 2000: Cloud vertical structure and its variations from a 20-yr global rawinsonde dataset. J. Climate, 13,3041-3056.
    Wang, L. K., and A. E. Dessler, 2006: Instantaneous cloud overlap statistics in the tropical area revealed by ICESat/GLAS data. Geophys. Res. Lett., 33,292-306.
    Wang Shuaihui, Han Zhigang, Yao Zhigang, et al., 2011: Analysis of vertical structure of clouds in China and the surrounding with CloudSat data. Plateau Mete-orology, 30, 38-52. (in Chinese)
    Wang, T. H., and Q. L. Min, 2008: Retrieving opti-cal depths of optically thin and mixed-phase clouds from MFRSR measurements. J. Geophys. Res.,113, D19203, doi: 10.1029/2008JD009958.
    Wang Tianhe and Huang Jianping, 2009: A method for estimating optical properties of dusty cloud. Chi-nese Optics Letters, 7, 368-372.
    Wang, W. C., J. P. Huang, P. Minnis, et al., 2010: Dusty cloud properties and radiative forcing over dust source and downwind regions derived from A-Train data during the Pacific Dust Experi-ment. J. Geophys. Res., 115, D00H35, doi: 10.1029/2010JD014109.
    Yuan, T. L., and L. Oreopoulos, 2013: On the global character of overlap between low and high clouds. Geophys. Res. Lett., 40, 5320-5326.
    Zhang Hua and Jing Xianwen, 2010: Effect of cloud overlap assumptions in climate models on modeled earth-atmosphere radiative field. Chinese J. Atmos. Sci., 34, 520-532. (in Chinese)
    Zhang Hua, Ma Jinghui, and Zheng Youfei, 2010: Mod-eling study of the global distribution of radiative forcing by dust aerosol. Acta Meteor. Sinica, 24,558-570.
    Zhang Hua, Peng Jie, Jing Xianwen, et al., 2013: The features of cloud overlapping in eastern Asia and their effect on cloud radiative forcing. Sci. China (Earth Science), 56, 737-747. (in Chinese)
    Zhang Hua, Yang Bingyun, Peng Jie, et al., 2015: The characteristics of cloud microphysical properties in East Asia with the CloudSat dataset. Chinese J. Atmos. Sci., 39, 235-248. (in Chinese)
    Zhao Gaoxiang and Wang Hongqi, 1994: Cloud and ra-diation (II): Cloud and cloud radiation parameter-izations in general circulation models. Chinese J. Atmos. Sci., 18, 933-958. (in Chinese)
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