1. General Model Information

Name: MM4 or MM5 NCAR Penn State/NCAR Mesoscale Model

Acronym: MM4_MM5


Main medium: air
Main subject: biogeochemistry
Organization level: landscape
Type of model: partial differential equations (3D)
Main application:
Keywords: atmospheric, mesoscale systems, temperature, precipitation, relative humidity, windspeed, wind temperature

Contact:

Prof. E. S. Takle
Atmospheric Sciences
3010 Agronomy Hall
Iowa State University
Ames, IA 50001
USA
Phone: 515-294-9871
Fax: 515-294-3163
E-Mail: a1est@isumvs.iastate.edu

Author(s):

Anthes and Warner

Abstract:

MM4 (Mesoscale Model version 4) is a mesoscale meteorological model used for prediction, process studies, sensitivity analysis, and climate studies. It produces a numerical solution to differential equations describing conservation of energy, mass and momentum for the atmosphere on a regional scale. Research has shown that a general mesoscale model with realistic treatment of surface conditions and physical processes, and initialized with good large-scale conditions is capable of simulating and predicting a large variety of synoptic and mesoscale phenomena in different parts of the world. The model simulations also provide high-resolution, dynamically consistent data sets which are useful in understanding the physical behavior of complex mesoscale systems (Anthes, 1990).

Inputs to the model include surface observations and radioscale measurements, and for climate studies the output of a global climate model is required. The output data are meteorological variables: temperature, precipitation, relative humidity, windspeed, and wind temperature. The predictions are at 3-5 minute intervals with a minimum resolution between 2-60 kilometers in the horizontal direction.

Author of the abstract:

CIESIN


II. Technical Information

II.1 Executables:

Operating System(s): CRAY or workstation environment

II.2 Source-code:

Programming Language(s): FORTRAN

II.3 Manuals:



II.4 Data:



III. Mathematical Information


III.1 Mathematics

Solution to Navier-Stokes equations, with parameterizations for turbulence, surface processes and radiation.

III.2 Quantities


III.2.1 Input

III.2.2 Output


IV. References

Anthes, R.A., 1990.Recent Applications of the PennState/ NCAR Mesoscale modelto Synoptic, Mesoscale and Climate Studies. Bull. Amer. Meteor. Soc. 71,1610-1629. Warner and Seamon, 1990: Bull. Amer. Meteor. Soc. 71, 792-804.



V. Further information in the World-Wide-Web


VI. Additional remarks

MM4 has been coupled with a general circulation model (GCM) in order to model regional climates. Its use as a predictive model for forecastingregional weather has been demonstrated and includes: explosive cyclogenesisover the North Pacific and North Atlantic oceans, ozone transport during theALPEX experiment in Europe, heavy rainfall and flash flood events in the US andChina, severe storms over the US, urban heat island effects, and regional acid deposition.


Last review of this document by: T. Gabele: 21. 07. 1997 -
Status of the document:
last modified by Tobias Gabele Wed Aug 21 21:44:45 CEST 2002

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