Procedia Environmental Sciences · 2015 · 16 citations · 13 references
EngineeringRainfall TypeWeather ForecastingClimate ModelingEarth System ScienceEarth ScienceNumerical Weather PredictionClimate ProjectionDrought ForecastingClimate ChangeHydrometeorologyMeteorologyGeographyRainfall CharacteristicsClimatologyClimate Research UnitDroughtSummer MonsoonClimate Modelling
The performance of Regional Climate Model 4 (RegCM4) in simulating rainfall is evaluated through a comparison of several observations using Asian Precipitation-Highly Resolved Observational Data Integration towards Evaluation (APHRODITE) and Climate Research Unit (CRU) in 19-year simulation period of 1982-2000 in Kalimantan. The analysis includes the perormance of RegCM4 in capturing the rainfall type, the rainfall characteristics when ENSO, the error and the diversity of data, and dominant cycles in Kalimantan. The analysis is continued with a calculation of Maximum Dry Spell Length (MDSL) and Probability Distribution Function (PDF). We found that RegCM4 produces overestimated value, but it is capable in capturing rainfall type, rainfall characteristics during ENSO, and dominant cycles in Kalimantan.
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Statistical Methods in the Atmospheric Sciences
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