Abstract
In relatively coarse-resolution atmospheric models, cumulus parameterization helps account for the effect of subgrid-scale convection, which produces supplemental rainfall to the grid-scale precipitation and impacts the diurnal cycle of precipitation. In this study, the diurnal cycle of precipitation was studied using the new simplified Arakawa-Schubert scheme in a global non-hydrostatic atmospheric model, i.e., the Yin-Yang-grid Unified Model for the Atmosphere. Two new diagnostic closures and a convective trigger function were suggested to emphasize the job of the cloud work function corresponding to the free tropospheric large-scale forcing. Numerical results of the 0.25-degree model in 3-month batched real-case simulations revealed an improvement in the diurnal precipitation variation by using a revised trigger function with an enhanced dynamical constraint on the convective initiation and a suitable threshold of the trigger. By reducing the occurrence of convection during peak solar radiation hours, the revised scheme was shown to be effective in delaying the appearance of early-afternoon rainfall peaks over most land areas and accentuating the nocturnal peaks that were wrongly concealed by the more substantial afternoon peak. In addition, the revised scheme enhanced the simulation capability of the precipitation probability density function, such as increasing the extremely low- and high-intensity precipitation events and decreasing small and moderate rainfall events, which contributed to the reduction of precipitation bias over mid-latitude and tropical land areas.
摘要
在较粗分辨率的大气模式中, 积云对流参数化用于表达次网格尺度上对流的作用, 对降水日变化有显著影响. 本文基于耦合NSAS(New Simplified Arakawa-Schubert Scheme)深对流方案的全球非静力YUNMA(Yin-Yang-grid Unified Model for the Atmosphere)大气模式, 研究降水日变化模拟特征, 提出了两个新诊断闭合假设和一个对流触发函数修订, 以强调自由对流层大尺度强迫对云功能函数制造率的作用. 0.25°水平分辨率的YUNMA模式3个月批量试验结果表明, 在对流触发函数中增强大尺度平流强迫对对流触发的动力限制、 并采用合适的对流触发阈值有利于改善陆地降水日变化模拟. 改进的NSAS方案通过减少太阳辐射峰值时段对流发生频率, 能够有效推迟大部分陆地午后降水峰值, 突出易被更强的午后峰值所掩盖的夜间降水峰值. 另外, 该方案改善了降水概率密度分布, 增加极小和极高降水率事件、 减少小到中等降水事件, 减小中纬度和热带陆地降水预报偏差.
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References
Arakawa, A., 2004: The cumulus parameterization problem: Past, present, and future. J. Climate, 17, 2493–2525, https://doi.org/10.1175/1520-0442(2004)017<2493:Ratcpp>2.0.Co;2.
Arakawa, A., and W. H. Schubert, 1974: Interaction of a cumulus cloud ensemble with the large-scale environment, Part I. J. Atmos. Sci., 31, 674–701, https://doi.org/10.1175/1520-0469(1974)031<0674:Ioacce>2.0.Co;2.
Bechtold, P., J. P. Chaboureau, A. Beljaars, A. K. Betts, M. Köhler, M. Miller, and J. L. Redelsperger, 2004: The simulation of the diurnal cycle of convective precipitation over land in a global model. Quart. J. Roy. Meteor. Soc., 130, 3119–3137, https://doi.org/10.1256/qj.03.103.
Bechtold, P., M. Köhler, T. Jung, F. Doblas-Reyes, M. Leut-becher, M. J. Rodwell, F. Vitart, and G. Balsamo, 2008: Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time-scales. Quart. J. Roy. Meteor. Soc., 134, 1337–1351, https://doi.org/10.1002/qj.289.
Bechtold, P., N. Semane, P. Lopez, J.-P. Chaboureau, A. Beljaars, and N. Bormann, 2014: Representing equilibrium and nonequilibrium convection in large-scale models. J. Atmos. Sci., 71, 734–753, https://doi.org/10.1175/jas-d-13-0163.1.
Beljaars, A. C. M., 1995: The parametrization of surface fluxes in large-scale models under free convection. Quart. J. Roy. Meteor. Soc., 121, 255–270, https://doi.org/10.1002/qj.49712152203.
Carbone, R. E., and J. D. Tuttle, 2008: Rainfall occurrence in the U.S. warm season: The diurnal cycle. J. Climate, 21, 4132–4146, https://doi.org/10.1175/2008JCLI2275.1.
Chen, D. H., J. S. Xue, X. S. Yang, H. L. Zhang, X. S. Shen, J. L. Hu, Y. Wang, L. R. Ji, and J. B. Chen, 2008: New generation of multi-scale NWP system (GRAPES): General scientific design. Chinese Sci. Bull., 53(22), 3433–3445.
Chen, G. X., W. M. Sha, M. Sawada, and T. Iwasaki, 2013: Influence of summer monsoon diurnal cycle on moisture transport and precipitation over eastern China. J. Geophys. Res. Atmos., 118, 3163–3177, https://doi.org/10.1002/jgrd.50337.
Chen, G. X., R. Yoshida, W. M. Sha, T. Iwasaki, and H. L. Qin, 2014: Convective instability associated with the eastward-propagating rainfall episodes over eastern China during the warm season. J. Climate, 27, 2331–2339, https://doi.org/10.1175/JCLI-D-13-00443.1.
Chen, G. X., R. Y. Lan, W. X. Zeng, H. Pan, and W. B. Li, 2018: Diurnal variations of rainfall in surface and satellite observations at the monsoon coast (South China). J. Climate, 31, 1703–1724, https://doi.org/10.1175/JCLI-D-17-0373.1.
Chen, S. Y., Y. F. Zhao, X. D. Peng, and X. H. Li, 2023: A global–regional-unified atmospheric dynamical core on the Yin–Yang grid. Mon. Wea. Rev., 151, 967–987, https://doi.org/10.1175/MWR-D-22-0079.1.
Christopoulos, C., and T. Schneider, 2021: Assessing biases and climate implications of the diurnal precipitation cycle in climate models. Geophys. Res. Lett., 48, e2021GL093017, https://doi.org/10.1029/2021GL093017.
Covey, C., P. J. Gleckler, C. Doutriaux, D. N. Williams, A. G. Dai, J. Fasullo, K. Trenberth, and A. Berg, 2016: Metrics for the diurnal cycle of precipitation: Toward routine benchmarks for climate models. J. Climate, 29, 4461–4471, https://doi.org/10.1175/JCLI-D-15-0664.1.
Cui, Z. Y., G. J. Zhang, Y. Wang, and S. C. Xie, 2021: Understanding the roles of convective trigger functions in the diurnal cycle of precipitation in the NCAR CAM5. J. Climate, 34, 6473–6489, https://doi.org/10.1175/JCLI-D-20-0699.1.
Dai, A. G., and K. E. Trenberth, 2004: The diurnal cycle and its depiction in the community climate system model. J. Climate, 17, 930–951, https://doi.org/10.1175/1520-0442(2004)017<0930:TDCAID>2.0.CO;2.
Dai, A. G., X. Lin, and K.-L. Hsu, 2007: The frequency, intensity, and diurnal cycle of precipitation in surface and satellite observations over low- and mid-latitudes. Climate Dyn., 29, 727–744, https://doi.org/10.1007/s00382-007-0260-y.
Dai, Y. J., and Coauthors, 2003: The common land model. Bull. Amer. Meteor. Soc., 84, 1013–1024, https://doi.org/10.1175/BAMS-84-8-1013.
Davies, L., R. S. Plant, and S. H. Derbyshire, 2013: Departures from convective equilibrium with a rapidly varying surface forcing. Quart. J. Roy. Meteor. Soc., 139, 1731–1746, https://doi.org/10.1002/qj.2065.
De Rooy, W. C., and Coauthors, 2013: Entrainment and detrainment in cumulus convection: An overview. Quart. J. Roy. Meteor. Soc., 139, 1–19, https://doi.org/10.1002/qj.1959.
Dias, J., M. Gehne, G. N. Kiladis, N. Sakaeda, P. Bechtold, and T. Haiden, 2018: Equatorial waves and the skill of NCEP and ECMWF numerical weather prediction systems. Mon. Wea. Rev., 146, 1763–1784, https://doi.org/10.1175/MWR-D-17-0362.1.
Donner, L. J., and V. T. Phillips, 2003: Boundary layer control on convective available potential energy: Implications for cumulus parameterization. J. Geophys. Res. Atmos., 108, 4701, https://doi.org/10.1029/2003JD003773.
Ebert, E. E., U. Damrath, W. Wergen, and M. E. Baldwin, 2003: The WGNE assessment of short-term quantitative precipitation forecasts. Bull. Amer. Meteor. Soc., 84, 481–492, https://doi.org/10.1175/BAMS-84-4-481.
Emanuel, K. A., J. David Neelin, and C. S. Bretherton, 1994: On large-scale circulations in convecting atmospheres. Quart. J. Roy. Meteor. Soc., 120, 1111–1143, https://doi.org/10.1002/qj.49712051902.
Gehne, M., T. M. Hamill, G. N. Kiladis, and K. E. Trenberth, 2016: Comparison of global precipitation estimates across a range of temporal and spatial scales. J. Climate, 29, 7773–7795, https://doi.org/10.1175/JCLI-D-15-0618.1.
Grell, G. A., 1993: Prognostic evaluation of assumptions used by cumulus parameterizations. Mon. Wea. Rev., 121, 764–787, https://doi.org/10.1175/1520-0493(1993)121<0764:Peoaub>2.0.Co;2.
Han, J., and H.-L. Pan, 2011: Revision of convection and vertical diffusion schemes in the NCEP global forecast system. Wea. Forecasting, 26, 520–533, https://doi.org/10.1175/waf-d-10-05038.1.
Han, J., W. G. Wang, Y. C. Kwon, S.-Y. Hong, V. Tallapragada, and F. L. Yang, 2017: Updates in the NCEP GFS cumulus convection schemes with scale and aerosol awareness. Wea. Forecasting, 32, 2005–2017, https://doi.org/10.1175/waf-d-17-0046.1.
Han, J.-Y., S.-Y. Hong, K.-S. Sunny Lim, and J. Han, 2016: Sensitivity of a cumulus parameterization scheme to precipitation production representation and its impact on a heavy rain event over Korea. Mon. Wea. Rev., 144, 2125–2135, https://doi.org/10.1175/mwr-d-15-0255.1.
Han, J.-Y., S.-Y. Hong, and Y. C. Kwon, 2020: The performance of a revised simplified arakawa–schubert (SAS) convection scheme in the medium-range forecasts of the korean integrated model (KIM). Wea. Forecasting, 35, 1113–1128, https://doi.org/10.1175/waf-d-19-0219.1.
Hong, S.-Y., and H.-L. Pan, 1996: Nonlocal boundary layer vertical diffusion in a medium-range forecast model. Mon. Wea. Rev., 124, 2322–2339, https://doi.org/10.1175/1520-0493(1996)124<2322:NBLVDI>2.0.CO;2.
Iacono, M. J., J. S. Delamere, E. J. Mlawer, M. W. Shephard, S. A. Clough, and W. D. Collins, 2008: Radiative forcing by long-lived greenhouse gases: Calculations with the AER radiative transfer models. J. Geophys. Res. Atmos., 113, D13103, https://doi.org/10.1029/2008JD009944.
Jiang, Z. N., D.-L. Zhang, R. D. Xia, and T. T. Qian, 2017: Diurnal variations of presummer rainfall over southern China. J. Climate, 30, 755–773, https://doi.org/10.1175/JCLI-D-15-0666.1.
Jin, X., T. W. Wu, and L. Li, 2013: The quasi-stationary feature of nocturnal precipitation in the Sichuan Basin and the role of the Tibetan Plateau. Climate Dyn., 41, 977–994, https://doi.org/10.1007/s00382-012-1521-y.
Jones, T. R., and D. A. Randall, 2011: Quantifying the limits of convective parameterizations. J. Geophys. Res. Atmos., 116, D08210, https://doi.org/10.1029/2010JD014913.
Lee, M.-I., and Coauthors, 2007: An analysis of the warm-season diurnal cycle over the continental united states and northern mexico in general circulation models. Journal of Hydrometeorology, 8, 344–366, https://doi.org/10.1175/JHM581.1.
Lee, M.-I., S. D. Schubert, M. J. Suarez, J.-K. E. Schemm, H.-L. Pan, J. Han, and S.-H. Yoo, 2008: Role of convection triggers in the simulation of the diurnal cycle of precipitation over the United States Great Plains in a general circulation model. J. Geophys. Res. Atmos., 113, D02111, https://doi.org/10.1029/2007JD008984.
Li, X. H., and X. D. Peng, 2018: Long-term integration of a global non-hydrostatic atmospheric model on an aqua planet. J. Meteor. Res., 32, 517–533, https://doi.org/10.1007/s13351-018-8016-7.
Li, X. H., X. D. Peng, and X. L. Li, 2015: An improved dynamic core for a non-hydrostatic model system on the Yin-Yang grid. Adv. Atmos. Sci., 32, 648–658, https://doi.org/10.1007/s00376-014-4120-5.
Li, X. H., Y. Zhang, Y. L. Lin, X. D. Peng, B. Q. Zhou, P. M. Zhai, and J. Li, 2023: Impact of revised trigger and closure of the double-plume convective parameterization on precipitation simulations over East Asia. Adv. Atmos. Sci., 40, 1225–1243, https://doi.org/10.1007/s00376-022-2225-9.
Liu, Q. J., Z. J. Hu, and X. J. Zhou, 2003: Explicit cloud schemes of HLAFS and simulation of heavy rainfall and clouds. Part I: Explicit cloud schemes. Journal of Applied Meteorological Science, 14, 60–67, https://doi.org/10.3969/j.issn.1001-7313.2003.z1.008.
Ma, Z. S., Q. J. Liu, C. F. Zhao, X. S. Shen, Y. Wang, J. H. Jiang, Z. Li, and Y. Yung, 2018: Application and evaluation of an explicit prognostic cloud-cover scheme in GRAPES global forecast system. Journal of Advances in Modeling Earth Systems, 10, 652–667, https://doi.org/10.1002/2017MS001234.
Pan, H.-L., and W.-S. Wu, 1995: Implementing a mass flux convection parameterization package for the NMC medium-range forecast model. NOAA Office Note, No. 409, 40 pp.
Sakaeda, N., G. Kiladis, and J. Dias, 2017: The diurnal cycle of tropical cloudiness and rainfall associated with the Madden–Julian oscillation. J. Climate, 30, 3999–4020, https://doi.org/10.1175/JCLI-D-16-0788.1.
Sardeshmukh, P. D., G. P. Compo, and C. Penland, 2015: Need for caution in interpreting extreme weather statistics. J. Climate, 28, 9166–9187, https://doi.org/10.1175/JCLI-D-15-0020.1.
Stephens, G. L., and Coauthors, 2010: Dreary state of precipitation in global models. J. Geophys. Res. Atmos., 115, D24211, https://doi.org/10.1029/2010JD014532.
Sun, Y., S. Solomon, A. G. Dai, and R. W. Portmann, 2006: How often does it rain. J. Climate, 19, 916–934, https://doi.org/10.1175/JCLI3672.1.
Wang, Y.-C., H.-L. Pan, and H.-H. Hsu, 2015: Impacts of the triggering function of cumulus parameterization on warm-season diurnal rainfall cycles at the Atmospheric Radiation Measurement Southern Great Plains site. J. Geophys. Res. Atmos., 120, 10 681–10 702, https://doi.org/10.1002/2015JD023337.
Wang, Y.-C., S. C. Xie, S. Q. Tang, and W. Y. Lin, 2020: Evaluation of an improved convective triggering function: Observational evidence and SCM tests. J. Geophys. Res. Atmos., 125, e2019JD031651, https://doi.org/10.1029/2019JD031651.
Xie, S. C., and M. H. Zhang, 2000: Impact of the convection triggering function on single-column model simulations. J. Geophys. Res. Atmos., 105, 14 983–14 996, https://doi.org/10.1029/2000JD900170.
Xie, S. C., M. H. Zhang, J. S. Boyle, R. T. Cederwall, G. L. Potter, and W. Y. Lin, 2004: Impact of a revised convective triggering mechanism on Community Atmosphere Model, Version 2, simulations: Results from short-range weather forecasts. J. Geophys. Res. Atmos., 109, D14102. https://doi.org/10.1029/2004JD004692.
Xie, S. C., and Coauthors, 2019: Improved diurnal cycle of precipitation in E3SM with a revised convective triggering function. Journal of Advances in Modeling Earth Systems, 11, 2290–2310, https://doi.org/10.1029/2019MS001702.
Yang, S., and E. A. Smith, 2006: Mechanisms for diurnal variability of global tropical rainfall observed from TRMM. J. Climate, 19, 5190–5226, https://doi.org/10.1175/JCLI3883.1.
Zhang, G. J., 2002: Convective quasi-equilibrium in midlatitude continental environment and its effect on convective parameterization. J. Geophys. Res. Atmos., 107, 4220, https://doi.org/10.1029/2001JD001005.
Zhang, G. J., 2003: Roles of tropospheric and boundary layer forcing in the diurnal cycle of convection in the U.S. southern great plains. Geophys. Res. Lett., 30, 2281, https://doi.org/10.1029/2003GL018554.
Zhang, Y. H., M. Xue, K. F. Zhu, and B. W. Zhou, 2019: What is the main cause of diurnal variation and nocturnal peak of summer precipitation in Sichuan Basin, China? The key role of boundary layer low-level jet inertial oscillations. J. Geophys. Res. Atmos., 124, 2643–2664, https://doi.org/10.1029/2018JD029834.
Zhou, T. J., R. C. Yu, H. M. Chen, A. G. Dai, and Y. Pan, 2008: Summer precipitation frequency, intensity, and diurnal cycle over China: A comparison of satellite data with rain gauge observations. J. Climate, 21, 3997–4010, https://doi.org/10.1175/2008JCLI2028.1.
Acknowledgements
This study was supported by the National Natural Science Foundation of China (Grant Nos. 42375153, 42075151).
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Article Highlights
• The revised trigger function in the NSAS deep convective scheme using large-scale advective forcing can improve the simulated diurnal cycle of precipitation over land and can reduce the deviations of the simulated probability density function of precipitation from the observations.
• The improved diurnal cycle of precipitation is achieved by suppressing the overestimated early-afternoon rainfall peaks associated with surface solar heating.
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Zhao, Y., Peng, X., Li, X. et al. Improved Diurnal Cycle of Precipitation on Land in a Global Non-Hydrostatic Model Using a Revised NSAS Deep Convective Scheme. Adv. Atmos. Sci. 41, 1217–1234 (2024). https://doi.org/10.1007/s00376-023-3121-7
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DOI: https://doi.org/10.1007/s00376-023-3121-7
Key words
- cumulus parameterization
- diurnal cycle of precipitation
- large-scale dynamic forcing
- global non-hydrostatic atmospheric model
- performance verification