Maximum Temperature Forecast Using NWP Output and Station Data in Equatorial Region: Preliminary Result for West Java, Indonesia

Authors

  • Urip Haryoko Indonesian Agency for Meteorology Climatology and Geophysics
  • Hidayat Pawitan
  • Edvin Aldrian
  • Aji Hamim Wigena

Keywords:

statistical downscaling, numerical weather prediction, single value decomposition, partial least square regression, principle component regression.

Abstract

Model Output Statistics (MOS) is one of the statistical downscaling methods in post-processing of Numerical Weather Prediction (NWP) output to get weather forecasts at a point of observation stations. The problem in MOS is how to determine the spatial domain of NWP to be used as predictor in the development stage. This paper uses methods for determining the optimal NWP spatial domain and to predict maximum temperature in the Jabodetabek area using NWP output from Global Forecast System (GFS) generated by the National Oceanic and Atmospheric Administration (NOAA).

References

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Published

2015-09-25

How to Cite

Haryoko, U., Pawitan, H., Aldrian, E., & Wigena, A. H. (2015). Maximum Temperature Forecast Using NWP Output and Station Data in Equatorial Region: Preliminary Result for West Java, Indonesia. International Journal of Sciences: Basic and Applied Research (IJSBAR), 24(3), 86–102. Retrieved from https://www.gssrr.org/index.php/JournalOfBasicAndApplied/article/view/4660

Issue

Vol. 24 No. 3 (2015)

Section

Articles

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