Open AccessSpatial fraction verification of high resolution model
Author(s) -
I Made Kembar Tirtanegara,
Fitria Puspita Sari
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/893/1/012036
Subject(s) - percentile , environmental science , weather research and forecasting model , meteorology , ground truth , satellite , remote sensing , grid , fraction (chemistry) , cloud fraction , statistics , cloud computing , computer science , mathematics , cloud cover , geography , physics , geodesy , artificial intelligence , astronomy , operating system , chemistry , organic chemistry
Fraction Skill Score (FSS) is one of spatial verification method to evaluate model performance on spatial scale variations. The method was applied to assess the Weather Research and Forecasting (WRF) model using 2 km (MODEL2KM) and 6 km (MODEL6KM) grid size. Cloud Top Temperature (CTT) data from Himawari-8 satellite was utilised as a ground truth data. This study aims to evaluate the model performance by FSS with absolute and percentile treshold on convective cloud simulation for three heavy rain events. The threshold considers the evaluation of absolute and percentile aspect. The result shows that there is no significant change in the FSS value for resolution increase of MODEL2KM compared to MODEL6KM. Also, the events of heavy rain having a lower CTT generate a higher FSS value for absolute threshold. Whilst, the percentile threshold for three cases have a greater FSS value, though it cannot provide the information of CTT absolute temperature value.