1. General Model Information

Name: AMBLE Atmospheric Model -Boundary Layer Emphasis

Acronym: AMBLE


Main medium: air
Main subject: biogeochemistry
Organization level: landscape
Type of model: partial differential equations (finite differences,3D)
Main application:
Keywords: atmospheric, atmosphere-terrain-land use-interactions, mesoscale, earth system

Contact:

Raymond W. Arritt
Associate Professor
Department of Agronomy
Iowa State University
Ames, IA 50011-1010
USA
Phone: 515-294-9870
Fax: 515-294-3163
E-Mail: rwarritt@iastate.edu

R. W. Arritt (lead developer), with M. Segal, M. J. Mitchell, and C. A.

Author(s):

R. W. Arritt (lead developer), with M. Segal, M. J. Mitchell, and C. A.Clark. Portions of the code were adapted from routines developed by M. McCumber and J.Kain

Abstract:

AMBLE is a predictive 1-,2-,or 3-dimensional model based on primitive equations of atmospheric flow. It includes sub-models for soil physics, vegetation, and the upper ocean. The model is used primarily to study the interactions of the atmosphere with terrain and land use. Time dependent atmospheric equations are solved, as discretized onto a 1-D, 2-D, or 3-D finite difference grid. Sub-models for soil physics and vegetative fluxes are solved concurrently with the atmospheric sub-model. Fully-coupled, 2-way interaction exists amongst the various sub-models.

Data input requires a representative atmospheric sounding in addition to information on terrain, land use, and soil moisture. The model creates binary output files which include the basic variables of state plus derived quantities such as radiation and turbulent fluxes. The output files are then entered into plotting programs and other post-analysis routines. The temporal scale is typically a few hours to 2 days, although coupled ocean-atmosphere simulations have run 30 days. The spatial scale in from 1 kilometer to several hundred kilometers in the horizontal and typically 4 - 15 kilometers in the vertical.

Author of the abstract:

CIESIN (CONSORTIUM FOR INTERNATIONAL EARTH SCIENCE INFORMATION NETWORK):


II. Technical Information

II.1 Executables:

Operating System(s): MS-DOS PCs to Cray Y-MP supercomputers

II.2 Source-code:

Programming Language(s): FORTRAN 77

II.3 Manuals:



II.4 Data:



III. Mathematical Information


III.1 Mathematics


III.2 Quantities

Requires a representative atmospheric sounding plus

III.2.1 Input

Requires a representative atmospheric sounding plusinformation on terrain, land use, and soil moisture.
Model Input Data Source: Sounding data are usually obtained from the conventionalradiosonde network or from soundings in field experiments. Land use data are obtained fromdigital elevation models and various sources. Proxy land use data such as NormalizedDifference Vegetation Index (NDVI) are also used. The model creates binary output files which include the basic variables

III.2.2 Output

The model creates binary output files which include the basic variablesof state plus derived quantities such as radiation and turbulent fluxes. The output files are thenentered into plotting programs and other post-analysis routines.
Temporal Scale: Usually a few hours to 1-2 days, although coupled ocean-atmospheresimulations have run 30 days.
Spatial Scale: From 1 km (non-hydrostatic version) to several hundred km in the horizontal,typically 4 - 15 km in the vertical

IV. References

Arritt, R. W., 1987, Boundary-Layer Meteorology, 40, 101-125
Arritt, R. W., 1989, Quarterly Journal of the Royal Meteorological Society, 115, 547-570
Segal, M. et al., 1993, Monthly Weather Review, 121, 1871-1873


V. Further information in the World-Wide-Web



VI. Additional remarks

The model's primary use is to study interactions of the atmosphere with terrain and land use, making it a potentially useful model in examining the relationships between atmospheric conditions and vegetation.
Last review of this document by: T. Gabele: 29. 8. 1997 -
Status of the document:
last modified by Tobias Gabele Wed Aug 21 21:44:39 CEST 2002

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