Perbandingan Akurasi Data Observasi Dengan Hasil Keluaran Model Wrf-Arw Asimilasi Dan Non Asimilasi (Studi Kasus: 7 Januari 2015, Stasiun Meteorologi BIM)

Abstract

WRF is one of the mesoscale numerical weather prediction models used widely in weather prediction and atmospheric research  needs.  This  model  has  a  dynamic core which doubled privilege, variations of 3- dimensional (3DVAR) and architecture of software that allowing computations in parallel and extensible system. WRF can be combined with observation data called assimilation technique models. In this study, uses FNL data which processed in WRF-ARW model with assimilated or non-assimilation. The purpose is to  see  how  far  the  level  of  WRF  output accuracy against observational data in the Meteorological Station Class II Padang. This research’s case study take on January 7, 2015 at 00.00 UTC until January 8, 2015 at 00.00 UTC. Surface temperature, RH, wind speed, temperature and vertical relative humidity are the  parameters  that  will  be  analyzed.  The result of WRF-ARW output after having assimilated is closer to the observations data than the result which is not assimilated. For dew point, pressure and rain parameter, the output of the model WRF-ARW after having assimilated  are  closer  to  observations  data than the output of the model WRF-ARW before assimilated. For the surface wind direction parameter (assimilation or non-assimilation) is not good enough to represent it.