Forecasting monthly wind speed for Udaipur region

Authors

  • S. R. BHAKAR Department of Soil and Water Engineering, College of Technology and Engineering, MPUAT, Udaipur-313001, Rajasthan
  • R. V. SINGH Department of Soil and Water Engineering, College of Technology and Engineering, MPUAT, Udaipur-313001, Rajasthan

DOI:

https://doi.org/10.54386/jam.v10i1.1170

Keywords:

Stochastic, Auto correlation function, Auto regression, Wind speed

Abstract

Stochastic modelling for mean monthly wind speed of Udaipur (Rajasthan) was done using 26 years (1978–2003) data. The performed statistical tests indicated that the series of the monthly wind speed data is trend free. The periodic component can be represented by third harmonic expression. The stochastic components of the mean monthly wind speed follow fourth order Markov model. The correlation coefficient between generated and measured mean monthly wind speed series was 0.9995 and found to be highly significant 1 per cent level. The standard error (5.57 mm) is quite low. The regression equation is very near to 1:1 line. Therefore, developed model can be used for future prediction of monthly wind speed at Udaipur.

Downloads

Published

01-06-2008

How to Cite

S. R. BHAKAR, & R. V. SINGH. (2008). Forecasting monthly wind speed for Udaipur region. Journal of Agrometeorology, 10(1), 46–52. https://doi.org/10.54386/jam.v10i1.1170

Issue

Vol. 10 No. 1 (2008): June

Section

Research Paper

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is a human-readable summary of (and not a substitute for) the license. Disclaimer.

You are free to:

Share — copy and redistribute the material in any medium or format

Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

    Under the following terms:

    Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

    NonCommercial — You may not use the material for commercial purposes.

    ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

    No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

    Notices:

    You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.

    No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.