On applicability of Frontier Regression to nowcast surface meteorological parameters at Chennai and Trichy airports in Tamilnadu
DOI:
https://doi.org/10.54302/mausam.v51i4.1789Keywords:
Nowcasting, Statistical techniques, Frontier regression, Autoregression, Deterministic chaos, Persistence, Aviation take-off forecastAbstract
An advanced statistical forecasting technique, viz., Frontier regression (FR) has been explored to augment the forecasting capacity in nowcasting of meteorological parameters for aviation flight planning at Chennai airport. As maritime effects strongly influence weather over a coastal station like Chennai, the model contemplated in this study has been tried for an inland airport station, viz., Trichy also to assess its efficacy.
Downloads
Published
01-10-2000
How to Cite
[1]
R. . SURESH, K. S. . CHANDRA, and N. . SIVAGNANAM, “On applicability of Frontier Regression to nowcast surface meteorological parameters at Chennai and Trichy airports in Tamilnadu”, MAUSAM, vol. 51, no. 4, pp. 319–328, Oct. 2000.
Issue
Section
Research Papers
License
Copyright (c) 2021 MAUSAM
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
All articles published by MAUSAM are licensed under the Creative Commons Attribution 4.0 International License. This permits anyone.
Anyone is free:
- To Share - to copy, distribute and transmit the work
- To Remix - to adapt the work.
Under the following conditions:
- Share - copy and redistribute the material in any medium or format
- Adapt - remix, transform, and build upon the material for any purpose, even
commercially.
