Slayt 1 - RTC, Regional Training Centre - Turkey

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Parameterized Processes and Parameters The graphic depicts some of the physical processes and parameters that aretypically parameterized, both because they cannot be explicitly predicted in fulldetail in model forecast equations regardless of the grid point or wave numberresolution and because their effects on the forecast variables resolvable by amodel are crucial to forecast realism. to identify 22 of these physical processesand parameters.
Parameterizing Physical Processes Parameterization is how we include the effects of physicalprocesses implicitly when we cannot include the processesthemselves explicitly. Parameterization can be thought of asemulation (modeling the effects of a process) rather thansimulation (modeling the process itself). Parameterization is necessary for several reasons: Computers are not yet powerful enough to treat many physicalprocesses explicitly because they are either too small (asdiscussed earlier) or complex to be resolved Many other physical processes cannot be explicitly modeledbecause they are not sufficiently understood to be representedin equation format or there are no appropriate data
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ATMOSPHERIC MODELINGNUMERICAL WEATH
Page 3 and 4:
MTO477Brief History of Meteorology
Page 5:
Excerpts from Aristotle’sMeteorol
Page 72: The Forces of a Parcel of Air
Page 84 and 85: Atmospheric Model Aerosol processes
Page 86 and 87: Highlights 1955 - First Operational
Page 88 and 89: Highlights 1996 - AVN/MRF changed t
Page 90 and 91: Highlights2001 (November) - Major c
Page 92 and 93: Equivalent-Barotropic Atmosphere Co
Page 94 and 95: Thermal Wind (Remember?)The thermal
Page 96 and 97: Written in general form:tAiA i = de
Page 98 and 99: Example of a diagnostic equation:Co
Page 100 and 101: NUMERICAL WEATHER PREDICTIONLECTURE
Page 102 and 103: Model ComponentsForecast:This repre
Page 104 and 105: Model ComponentsDynamics:In NWP, dy
Page 108 and 109: Parameterizing Sub Grid-Scale Proce
Page 110 and 111: Accounting for the Effects of Physi
Page 112 and 113: Outlook As computer power increases
Page 114 and 115: DiscussionThe correct choices are (
Page 116 and 117: 1- NWP EquationsIn NWP, future valu
Page 118 and 119: 2-The Primitive Equations
Page 120 and 121: Horizontal advection of west-to-eas
Page 122 and 123: Additional Information: Coriolis Fo
Page 124 and 125: Additional Information: Coriolis Fo
Page 126 and 127: Temperature Forecast EquationTime c
Page 128 and 129: Hydrostatic or Vertical MomentumEqu
Page 130 and 131: Physical ProcessesAll of the foreca
Page 132 and 133: How Models Solve the ForecastEquati
Page 134 and 135: Representing the Forecast Variables
Page 136 and 137: 3-Grid Point: Data RepresentationGr
Page 138 and 139: 4-Grid Point ModelsIn the real atmo
Page 140 and 141: 5- SPECTRAL MODELHow Data are Repre
Page 142 and 143: Use of Grid Point Methods in Spectr
Page 144 and 145: Impacts of Grid Point Physics Calcu
Page 146 and 147: 7- Hydrostatic Models Most grid poi
Page 148 and 149: Non-Hydrostatic Models In addition,
Page 151 and 152: HYDROSTATIC MODELS Characteristics
Page 153 and 154: References Carr, F.H., 1988: Introd
Page 155 and 156: The dependent variables in this set
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Problems in finding suitable latera
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Conditions whichOnemakeBIGthe primi
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Courant-Friederichs-Lewy criteria C
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Setting up a Numerical Model Grid p
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Horizontal resolution Horizontal re
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Sigma Coordinate System (σ)p• De
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Convective ParameterizationSchemes
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«Computations indicate that a perf
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Slayt 1 - RTC, Regional Training Centre - Turkey

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