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dc.contributor.authorLemone, Margaret A.
dc.contributor.authorChen, Fei
dc.contributor.authorTewari, Mukul
dc.contributor.authorDudhia, Jimy
dc.contributor.authorGeerts, Bart
dc.contributor.authorMiao, Qun
dc.contributor.authorCoulter, Richard L.
dc.contributor.authorGrossman, Robert L.
dc.contributor.authorLemone, Margaret A.
dc.contributor.authorChen, Fei
dc.contributor.authorTewari, Mukul
dc.contributor.authorDudhia, Jimy
dc.contributor.authorGeerts, Bart
dc.contributor.authorMiao, Qun
dc.contributor.authorCoulter, Richard L.
dc.contributor.authorGrossman, Robert L.
dc.date2010-03-01
dc.date.accessioned2018-06-10T20:51:33Z
dc.date.available2018-06-10T20:51:33Z
dc.description©2010 American Meteorological Society.
dc.description.abstractFair-weather data from the May-June 2002 International H2O Project (IHOP_2002) 46-km eastern flight track in southeast Kansas are compared to simulations using the advanced research version of the Weather Research and Forecasting model coupled to the Noah land surface model (LSM), to gain insight into how the surface influences convective boundary layer (CBL) fluxes and structure, and to evaluate the success of the modeling system in representing CBL structure and evolution. This offers a unique look at the capability of the model on scales the length of the flight track (46 km) and smaller under relatively uncomplicated meteorological conditions. It is found that the modeled sensible heat flux H is significantly larger than observed, while the latent heat flux (LE) is much closer to observations. The slope of the best-fit line ΔLE/ΔH to a plot of LE as a function of H, an indicator of horizontal variation in available energy H + LE, for the data along the flight track, was shallower than observed. In a previous study of the IHOP_2002 western track, similar results were explained by too small a value of the parameter C in the Zilitinkevich equation used in the Noah LSM to compute the roughness length for heat and moisture flux from the roughness length for momentum, which is supplied in an input table; evidence is presented that this is true for the eastern track as well. The horizontal variability in modeled fluxes follows the soil moisture pattern rather than vegetation type, as is observed; because the input land use map does not capture the observed variation in vegetation. The observed westward rise in CBL depth is successfully modeled for 3 of the 4 days, but the actual depths are too high, largely because modeled H is too high. The model reproduces the timing of observed cumulus cloudiness for 3 of the 4 days. Modeled clouds lead to departures from the typical clear-sky straight line relating surface H to LE for a given model time, making them easy to detect. With spatial filtering, a straight slope line can be recovered. Similarly, larger filter lengths are needed to produce a stable slope for observed fluxes when there are clouds than for clear skies.
dc.identifier.doi10.1175/2009MWR3003.1
dc.identifier.urihttps://hdl.handle.net/20.500.11919/612
dc.languageEnglish
dc.publisherUniversity of Wyoming. Libraries
dc.relation.ispartofFaculty Publications - Atmospheric Science
dc.sourceAtmospheric Science Faculty Publications
dc.subjectAdvanced researches
dc.subjectAvailable energy
dc.subjectClear sky
dc.subjectConvective boundary layers
dc.subjectFilter length
dc.subjectFlight track
dc.subjectGain insight
dc.subjectHorizontal variability
dc.subjectHorizontal variation
dc.subjectLand surface models
dc.subjectMeteorological condition
dc.subjectModeling systems
dc.subjectMoisture fluxes
dc.subjectRoughness length
dc.subjectSensible heat flux
dc.subjectSoutheast Kansas
dc.subjectSpatial filterings
dc.subjectStraight lines
dc.subjectSurface flux
dc.subjectSurface influences
dc.subjectVegetation type
dc.subjectWeather data
dc.subjectWeather Research and Forecasting models
dc.subjectClouds
dc.subjectComputer simulation
dc.subjectFlight simulators
dc.subjectHeat flux
dc.subjectMetal recovery
dc.subjectSoil moisture
dc.subjectSurface measurement
dc.subjectSurface structure
dc.subjectVegetation
dc.subjectWeather forecasting
dc.subjectatmospheric modeling
dc.subjectatmospheric structure
dc.subjectcomputer simulation
dc.subjectconvective boundary layer
dc.subjectcumulus
dc.subjectdata processing
dc.subjectlatent heat flux
dc.subjectsensible heat flux
dc.subjectweather forecasting
dc.subjectEngineering
dc.titleSimulating the IHOP_2002 Fair-Weather CBL with the WRF-ARW-Noah Modeling System. Part I: Surface Fluxes and CBL Structure and Evolution along the Eastern Track
dc.typeJournal contribution
dcterms.title.journalMonthly Weather Review
thesis.degree.disciplineAtmospheric Science


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