Cover Weather and Forecasting
Weather and Forecasting

  • An, S. I., 2008: A mechanism for the multi-decadal climate oscillation in the North Pacific. Theor. Appl. Climatol., 91, 77–84, doi:10.1007/s00704-006-0288-7.

    • Search Google Scholar
    • Export Citation

  • Brown, D. P., and Comrie A. C. , 2002: Spatial modeling of winter temperature and precipitation in Arizona and New Mexico, USA. Climate Res., 22, 115–128, doi:10.3354/cr022115.

    • Search Google Scholar
    • Export Citation

  • Brown, R. D., 2000: Northern Hemisphere snow cover variability and change, 1915–97. J. Climate, 13, 2339–2355, doi:10.1175/1520-0442(2000)013<2339:NHSCVA>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • Chou, C., Neelin J. D. , Chen C. A. , and Tu J. Y. , 2009: Evaluating the “rich-get-richer” mechanism in tropical precipitation change under global warming. J. Climate, 22, 1982–2005, doi:10.1175/2008JCLI2471.1.

    • Search Google Scholar
    • Export Citation

  • Chou, J., 1974: On the usage of historical data in numerical weather forecasting (in Chinese). Sci. China, 6A, 635–644.

  • Chou, J., 1986: Why need a combination of dynamic modeling and statistical modeling and how to combine. Plateau Meteor., 5, 367–372.

  • Dai, A., Fung I. Y. , and DelGenio A. D. , 1997: Surface observed global land precipitation variations during 1900–88. J. Climate, 10, 2943–2962, doi:10.1175/1520-0442(1997)010<2943:SOGLPV>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • Gong, J., and Chou J. , 1999: The theories and methods of utilizing historical data in numerical weather forecast (in Chinese).Plateau Meteor., 18, 392–399.

    • Search Google Scholar
    • Export Citation

  • Grimenes, A. A., and Nissen O. , 2004: Mathematical modelling of the annual temperature wave based on monthly mean temperatures, and comparisons between local climate trends at seven Norwegian stations. Theor. Appl. Climatol., 78, 229–246, doi:10.1007/s00704-004-0036-9.

    • Search Google Scholar
    • Export Citation

  • Hong, M., Zhang R. , Liu K. F. , and Yu D. D. , 2007: A medium/long-range forecast of Pacific subtropical high based on dynamic statistic model reconstruction. Acta Meteor. Sin.,21, 376–384.

    • Search Google Scholar
    • Export Citation

  • Huang, J., and Chou J. , 1990: Studies on the analogous rhythm phenomenon in coupled ocean–atmosphere system. Sci. China, 33B, 851–860.

    • Search Google Scholar
    • Export Citation

  • Huang, J., and Yi Y. H. , 1991: Retrieved nonlinear dynamical model from the observation data. Sci. China,34B, 331–336.

  • Huang, J., and Wang S. , 1992: The experiment of seasonal prediction using the analogy-dynamical model. Sci. China, 35B, 207–216.

  • Huang, J., Yi Y. , Wang S. , and Chou J. , 1993: An analogue-dynamical long-range numerical weather prediction system incorporating historical evolution. Quart. J. Roy. Meteor. Soc., 119, 547–565, doi:10.1002/qj.49711951111.

    • Search Google Scholar
    • Export Citation

  • Hulme, M., 1992: A 1951–80 global land precipitation climatology for the evaluation of general-circulation models. Climate Dyn., 7, 57–72, doi:10.1007/BF00209609.

    • Search Google Scholar
    • Export Citation

  • Kjellstrom, E., Boberg F. , Castro M. , Christensen J. H. , Nikulin G. , and Sanchez E. , 2010: Daily and monthly temperature and precipitation statistics as performance indicators for regional climate models. Climate Res., 44, 135–150, doi:10.3354/cr00932.

    • Search Google Scholar
    • Export Citation

  • Lin, Z. S., Shi F. B. , and Wang H. , 1995: The retrieved model of Tianjin local climate. Acta Meteor. Sin., 53, 115–121.

  • Patz, J. A., and Olson S. H. , 2006: Malaria risk and temperature: Influences from global climate change and local land use practices. Proc. Natl. Acad. Sci. USA, 103, 5635–5636, doi:10.1073/pnas.0601493103.

    • Search Google Scholar
    • Export Citation

  • Qian, B. D., Gameda S. , Hayhoe H. , De Jong R. , and Bootsma A. , 2004: Comparison of LARS-WG and AAFC-WG stochastic weather generators for diverse Canadian climates. Climate Res., 26, 175–191, doi:10.3354/cr026175.

    • Search Google Scholar
    • Export Citation

  • Ren, H., Chou J. , Huang J. , and Zhang P. , 2009: Theoretical basis and application of an analogue-dynamical model in the Lorenz system. Adv. Atmos. Sci., 26, 67–77, doi:10.1007/s00376-009-0067-3.

    • Search Google Scholar
    • Export Citation

  • Xiong, K., Feng G. , Huang J. , and Chou J. , 2011: Analogue-dynamical prediction of monsoon precipitation in northeast China based on dynamic and optimal configuration of multiple predictors. Acta Meteor Sin., 25, 316–326, doi:10.1007/s13351-011-0307-1.

    • Search Google Scholar
    • Export Citation

  • Xue, M., and Coauthors, 2001: The Advanced Regional Prediction System (ARPS)—A multi-scale nonhydrostatic atmospheric simulation and prediction tool. Part II: Model physics and applications. Meteor. Atmos. Phys., 76, 143–165, doi:10.1007/s007030170027.

    • Search Google Scholar
    • Export Citation

  • Yang, H. J., Wang F. Y. , and Sun A. D. , 2009: Understanding the ocean temperature change in global warming: The tropical Pacific. Tellus, 61A, 371–380, doi:10.1111/j.1600-0870.2009.00390.x.

    • Search Google Scholar
    • Export Citation

  • Zheng, Z., Ren H. , and Huang J. , 2009: Analogue correction of errors based on seasonal climatic predictable components and numerical experiments. Acta Phys. Sin., 58, 7359–7367.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 61 25 1
PDF Downloads 27 11 0
Editorial Type:
Article

A Dynamic Inversion Model of the Beijing Local Climate

Huming Luo1 and Zhenshan Lin2
View More View Less
  • 1 College of Geography Science, Nanjing Normal University, Nanjing, and College of Sciences, Northwest Agriculture and Forestry University, Yangling, China
  • | 2 College of Geography Science, Nanjing Normal University, and Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing, China
Print Publication:
01 Jun 2014
DOI:
https://doi.org/10.1175/WAF-D-13-00011.1
Page(s):
614–622
© Get Permissions Rent on DeepDyve
Restricted access

Abstract

A nonautonomous dynamic inverse model based on the autonomous dynamic inverse model is presented in this paper. By introducing the extrinsic cycle driving force and the surrounding environment driving force, the Beijing local climatic model is established via the nonautonomous dynamic inverse method. The model not only has a certain ability to predict but can relatively accurately reveal the inherent dynamic mechanisms among the monthly average atmospheric pressure, temperature, and precipitation. The model also applies to describing the dynamic characteristics of the departure from the annual cycle. The nonautonomous inversion dynamic model has broad application potential, which provides a new method for understanding and predicting local climate.

Corresponding author address: Dr. Zhenshan Lin, College of Geography Science, Nanjing Normal University, Wenyuan Road, Yadongxincheng District, Nanjing 210097, China. E-mail: linzhenshan@njnu.edu.cn

Abstract

A nonautonomous dynamic inverse model based on the autonomous dynamic inverse model is presented in this paper. By introducing the extrinsic cycle driving force and the surrounding environment driving force, the Beijing local climatic model is established via the nonautonomous dynamic inverse method. The model not only has a certain ability to predict but can relatively accurately reveal the inherent dynamic mechanisms among the monthly average atmospheric pressure, temperature, and precipitation. The model also applies to describing the dynamic characteristics of the departure from the annual cycle. The nonautonomous inversion dynamic model has broad application potential, which provides a new method for understanding and predicting local climate.

Corresponding author address: Dr. Zhenshan Lin, College of Geography Science, Nanjing Normal University, Wenyuan Road, Yadongxincheng District, Nanjing 210097, China. E-mail: linzhenshan@njnu.edu.cn
Save