Evaluasi Skema Model Weather Research and Forecasting (WRF) dalam Penilaian Parameter Hidrometeorologi Lahan Gambut Tropis
Abstract
The Weather Research and Forecasting (WRF) model has been widely used
in the forecasting of extreme meteorological conditions. But, the application to fire
weather condition in tropical peatland remains several challenges, especially for the
physical schemes’ parameterization. This study aims to test the physical schemes
combination to forecast hydrometeorological parameters. This research focused on
the Kahayan-Sebangau peat hydrological unit by conducting goodness-of-fit tests
on nine combinations of physical parameter schemes. The results showed that in
tropics the combination of WSM6 microphysics scheme, YSU primary boundary
layer scheme, and Kain-Fritsch cumulus scheme was reliable in predicting rainfall
in the wet season, while the New Tiedtke cumulus scheme was suitable for the dry
season. The RRTMG longwave and shortwave radiation schemes, as well as the
RUC land surface scheme, produced air temperature with lower biases, but the
Noah LSM has higher correlation. The RUC land surface scheme also produces
better soil moisture values but affects rainfall forecast results. Therefore, the K4
combination was suitable for use in the wet season, while K2 was in dry season.