2022
DOI: 10.2166/wcc.2022.371
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Assessment of WRF microphysics and cumulus parameterizations in simulating heavy rainfall events over Badulu Oya catchment, Sri Lanka

Abstract: Extreme rainfall events leading to severe hydrological impacts warrant an accurate prediction of such events not only on time but also in magnitude. Sri Lanka is a South Asian country that is frequently affected by severe tropical storms. The primary aim of this study was to improve heavy rainfall events forecast during the North-east monsoon over the Badulu Oya catchment, Sri Lanka. This aim was accomplished by simulating precipitation for two extreme North-East monsoon rainfall events using the Weather Resea… Show more

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Cited by 5 publications
(1 citation statement)
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“…In this regard, Sierra Lorenzo et al (2020) studied a set of fifteen different MPS (microphysics scheme) and CPS arrays (cumulus parameterization schemes) for Panama and using Pearson's correlation coefficient suggested the best MPS-CPS arrays for the country; these results are shown in Table 1. The choice of a "best model" will depend on the type of atmospheric event being analyzed, for example, for extreme events it is necessary to assess different configurations and determine which one has a better forecasting performance (Gimhan et al, 2022). (1994), Betts (1986), Betts et al (1986), Janjić (2000 2002 3…”
Section: Gpu-accelerated Numerical Model Of Dds: Acecastmentioning
confidence: 99%
“…In this regard, Sierra Lorenzo et al (2020) studied a set of fifteen different MPS (microphysics scheme) and CPS arrays (cumulus parameterization schemes) for Panama and using Pearson's correlation coefficient suggested the best MPS-CPS arrays for the country; these results are shown in Table 1. The choice of a "best model" will depend on the type of atmospheric event being analyzed, for example, for extreme events it is necessary to assess different configurations and determine which one has a better forecasting performance (Gimhan et al, 2022). (1994), Betts (1986), Betts et al (1986), Janjić (2000 2002 3…”
Section: Gpu-accelerated Numerical Model Of Dds: Acecastmentioning
confidence: 99%