Zhu Zongshen, Zhu Guofu. An effective method to solve the streamfunction and velocity potential from a wind field in a limited area. J Appl Meteor Sci, 2008, 19(1): 10-18.
Citation: Zhu Zongshen, Zhu Guofu. An effective method to solve the streamfunction and velocity potential from a wind field in a limited area. J Appl Meteor Sci, 2008, 19(1): 10-18.

An Effective Method to Solve the Streamfunction and Velocity Potential from a Wind Field in a Limited Area

  • Received Date: 2006-12-29
  • Rev Recd Date: 2007-07-31
  • Publish Date: 2008-02-29
  • The streamfunction and the velocity potential are variables commonly used in the scheme design for atmospheric data assimilation and initial field analysis of numeric weather prediction.They can be obtained in partitioning a wind field by solving the Poisson equations of the vorticity and the divergence of the horizontal components of the wind field. Difference method is usually adopted in a limited area; nevertheless, an obvious departure exits between the original wind field and the reconstructed one from the sum of the streamfunction and velocity potential components in the vicinity of the boundary of the limited area.An effective scheme is designed to solve by difference method the streamfunction and velocity potential of a wind field in an Arakawa-A grid limited area, based on analyzing detailedly the approach and characteristics in the process of the solution. The key techniques in the scheme include the following. Firstly, the solution domain is expanded by two rings by extrapolating linearly the wind field to improve a calculation of boundary values. Secondly, consistent difference schemes are introduced in the solution procedure to enhance the solution precision. And finally only two to three iterations are imposed on incremental corrections to get a satisfactorily accurate result. Experiments are carried out with real wind data and their results indicate that the streamfunction and velocity potential of a wind field can be acquired by the scheme and the reconstructed wind field is reproduced with a very high precision.
  • Fig. 1  Components of wind speed at 12:00 on July 20, 2003 (unit:m·s-1)

    (a) u at 1000 hPa, (b) v at 1000 hPa, (c) u at 500 hPa, (d) v at 500 hPa, (e) u at 150 hPa, (f)v at 150 hPa

    Fig. 2  Wind fields at 12:00 on July 20, 2003(unit:m·s-1)

    (a)1000 hPa, (b)500 hPa, (c)150hPa

    Fig. 3  Streamfunctions (Ψ) and velocity potentials (χ) at 12:00 on July 20, 2003 (unit:106m2·s-1)

    Ψ at 1000 hPa, (b)χ at 1000 hPa, (c)Ψ at 500 hPa, (d)χ at 500 hPa, (e) Ψ at 150 hPa, (f)χ at 150 hPa

    Table  1  The comparison of absolute errors between wind speeds and their reconstructed ones from three difference schemes in solving the Poisson equations without any iteration correction at 500 hPa (unit:m·s-1)

    Table  2  Same as in Table 1, but with three-iteration corrections

    Table  3  Same as in Table 1, but their reconstructed ones from four difference schemes in expanding the solution domain and adding iteration corrections (unit:m·s-1)

    Table  4  Same as in Table 3, but for ten-iteration corrections without expanding the solution domain (unit:m·s-1)

    Table  5  Same as in Table 4, but for ten-iteration corrections with expanding the solution domain (unit:m·s-1)

    Table  6  Same as in Table 3, but for ten days from 10 to 19 July 2006 and their average, according to the scheme of expanding the solution domain and adding three-iteration corrections (unit:m·s-1)

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    • Received : 2006-12-29
    • Accepted : 2007-07-31
    • Published : 2008-02-29

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