| http://dbpedia.org/ontology/abstract
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The time-varying microscale (TVM) model is … The time-varying microscale (TVM) model is a microscale diagnostic model specifically designed to compute data for extremely high-resolution mapping (tens of meters to a few hundred meters) without the high computational costs of running a mesoscale numerical weather prediction (NWP) model such as weather research and forecasting model (WRF). TVM uses high-resolution land surface data to calculate the effects of microscale terrain features, near-surface roughness features, and other terrain blocking effects typically left unresolved by coarser mesoscale NWP models. Microscale terrain features are resolved using a kinematic terrain adjustment, near-surface roughness features are resolved using a log-profile surface roughness adjustment, and a Froude number adjustment is applied to calculate terrain-blocking effects on wind flow. All of these effects are computed at each time-step in the study period and based not only on wind speed and elevation, but on quantities such as wind direction and thermodynamic properties of the lower atmosphere. This enables a sophisticated time-varying spatial analysis.phisticated time-varying spatial analysis.
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27040806
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1442
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1048595386
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, http://dbpedia.org/resource/Weather_research_and_forecasting_model +
, http://dbpedia.org/resource/Diagnostic_model +
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, http://dbpedia.org/resource/Land_surface +
, http://dbpedia.org/resource/Elevation +
, http://dbpedia.org/resource/Kinematics +
, http://dbpedia.org/resource/Froude_number +
, http://dbpedia.org/resource/Atmosphere +
, http://dbpedia.org/resource/Wind_speed +
, http://dbpedia.org/resource/Microscale +
, http://dbpedia.org/resource/Spatial_analysis +
, http://dbpedia.org/resource/Time-step +
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| http://purl.org/dc/terms/subject
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http://dbpedia.org/resource/Category:Numerical_climate_and_weather_models +
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| rdfs:comment |
The time-varying microscale (TVM) model is … The time-varying microscale (TVM) model is a microscale diagnostic model specifically designed to compute data for extremely high-resolution mapping (tens of meters to a few hundred meters) without the high computational costs of running a mesoscale numerical weather prediction (NWP) model such as weather research and forecasting model (WRF).ther research and forecasting model (WRF).
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| rdfs:label |
Time-varying microscale model
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