Page 79 - 《水资源与水工程学报》2024年第6期
P. 79

!35 "!6 #                         & ' ( ) & * + , -                               Vol.35No.6
               2024 $ 12 %              JournalofWaterResources&WaterEngineering                 Dec.,2024

            DOI:10.11705/j.issn.1672-643X.2024.06.08


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                          WRFsimulationofheavyraininWanzhousectionofthe
                                           ThreeGorgesReservoirarea

                                      1
                                                                                 2
                                                                1
                                                    1
                                                                                            2
                            SHIRuibo,ZHOUYulin,WEIXing,CHENYuanjun,FANGLi
                          (1.SchoolofCivilEngineering,ChongqingThreeGorgesUniversity,Chongqing404100,China;
                               2.ChongqingWanzhouDistrictMeteorologicalBureau,Chongqing404100,China)
                 Abstract:ToenhancetheaccuracyofheavyrainfallsimulationandpredictioninWanzhousectionofthe
                 ThreeGorgesReservoirarea,weemployedthemesoscaleweatherresearchandforecasting(WRF)model
                 alongwithFNLreanalysisdatafortheprediction.15physicalparameterizationschemecombinationswere
                 designedbyintegratingfivecloudmicrophysicsschemes ,threecumulusconvectionschemes,theRRTM/
                 Dudhialongwaveandshortwaveradiationschemes,theYSUplanetaryboundarylayerscheme,andthe
                 Noahlandsurfacescheme.Wesystematicallyanalyzedtheperformanceofdifferentparameterization
                 schemecombinationsinthesimulationofspatiotemporalcharacteristicsofprecipitationandidentifiedthe
                 optimalscheme ,aimingtodevelopaWRFmodelsuitableforthestudyareawithhighsimulationaccura
                 cy.TheresultsshowthattheWRFmodelcanreasonablyreproducethespatialandtemporalvariationsin
                 precipitation ;however,itexhibitsatendencyofpredictinganearlieronsetofheavyrainfallandgenerally
                 underestimatesprecipitationamounts.Themeanhourlyprecipitationbiasrangesfrom -0.62to-0.12
                 mm ,whiletherelativeerrorinthespatialdistributionof48houraccumulatedprecipitationliesbetween
                 -66.90% and16.75%.Amongalltheschemecombinations,theWSM6-GD-Noah-RRTM /
                 Dudhiascheme (A5)demonstratedthebestoverallperformance,withasimulationrelativeerrorofonly
                2.79% forthe48houraccumulatedprecipitation.Moreover ,itachievedthehighestaveragethreatscore
                 (TS)of0.26forheavyandtorrentialrainfallandshowedasignificantlyimprovedsimulationofrainfall

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