Model:GIPL: Difference between revisions

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|Extended model description=GIPL(Geophysical Institute Permafrost Laboratory) is an implicit finite difference one-dimensional heat flow numerical model. The model was developed by V.Romanovsky and G. Tipenko at University of Alaska Fairbanks. First time the model was introduced at the 2004 AGU Conference Tipenko G. (2004). The model uses coarse vertical resolution grid which preserves the latent-heat effects in the phase transition zone, even under conditions of rapid or abrupt changes in the temperature fields. The air temperature is a major driving force for the GIPL model. The model includes upper boundary condition, constant geothermal heat flux at the lower boundary (typically from 500 to 1000 m) and temperature distribution at initial time. The other inputs are precipitation, prescribed water content and thermal properties of the multilayered soil column. As an output the model produces temperature distributions at different depths, active layer thickness and calculates time of freeze up. S. Marchenko and others in 2008 extend the model by developing pre-processing procedures which convert GIS format input data into GIPL format. E. Jafarov parallelized the GIPL code in order to run the model on supercomputers with finer grid resolution. First run of parallel UAF-GIPL2.0 model was in November 2009. The model is still under constant testing and development. However the preliminary results are available in the form of netcdf files. The preliminary results includes temperatures at different depths and active layer thickness. The detailed paper about the parallel model is under development.
|Extended model description=GIPL(Geophysical Institute Permafrost Laboratory) is an implicit finite difference one-dimensional heat flow numerical model. The model was developed by V.Romanovsky and G. Tipenko at University of Alaska Fairbanks. First time the model was introduced at the 2004 AGU Conference Tipenko G. (2004). The model uses coarse vertical resolution grid which preserves the latent-heat effects in the phase transition zone, even under conditions of rapid or abrupt changes in the temperature fields. The air temperature is a major driving force for the GIPL model. The model includes upper boundary condition, constant geothermal heat flux at the lower boundary (typically from 500 to 1000 m) and temperature distribution at initial time. The other inputs are precipitation, prescribed water content and thermal properties of the multilayered soil column. As an output the model produces temperature distributions at different depths, active layer thickness and calculates time of freeze up. S. Marchenko and others in 2008 extend the model by developing pre-processing procedures which convert GIS format input data into GIPL format. E. Jafarov parallelized the GIPL code in order to run the model on supercomputers with finer grid resolution. First run of parallel UAF-GIPL2.0 model was in November 2009. The model is still under constant testing and development. However the preliminary results are available in the form of netcdf files. The preliminary results includes temperatures at different depths and active layer thickness. The detailed paper about the parallel model is under development.
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{{Model technical information
{{Model technical information
|Supported platforms=Unix, Linux, Windows
|Supported platforms=Unix, Linux, Windows
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|Start year development=2000
|Start year development=2000
|Does model development still take place?=Yes
|Does model development still take place?=Yes
|Model availability=As executable
|Source code availability=Through owner
|Program license type=Other
|Program license type=Other
|Typical run time=it takes less than a minite to run the serial model for one with daily time interval
|Typical run time=it takes less than a minite to run the serial model for one with daily time interval
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|CCA component=No not possible
|CCA component=No not possible
|IRF interface=No not possible
|IRF interface=No not possible
|CMT component=Not yet
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Revision as of 17:30, 23 June 2011

Name Elchin Jafarov
Type of contact
Institute / Organization Univ. of Alaska Fairbanks
Postal address 1
Postal address 2
Town / City Fairbanks
Postal code 99775
State Alaska
Country US"US" is not in the list (Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, ...) of allowed values for the "Country" property.
Email address eejafarov@alaska.edu
Phone
Fax



GIPL


Metadata

Also known as
Model type Single
Model part of larger framework
Note on status model
Date note status model
Keywords:
Supported platforms
Unix, Linux, Windows
Other platform
Programming language

Fortran90, Matlab

Other program language
Code optimized Single Processor, Multiple Processors
Multiple processors implemented
Nr of distributed processors
Nr of shared processors
Start year development 2000
Does model development still take place? Yes
If above answer is no, provide end year model development
Code development status
When did you indicate the 'code development status'?
Model availability
Source code availability
(Or provide future intension)
Source web address
Source csdms web address
Program license type Other
Program license type other
Memory requirements
Typical run time it takes less than a minite to run the serial model for one with daily time interval


Describe input parameters Upper Boundary (Air temperature)

Lower Boundary (Temperature gradient) Initial conditions (Temperature distribution at initial time) Thermo-physical properties

Input format ASCII
Other input format
Describe output parameters Temperature distribution with depth

Active Layer Depth Freezing/Thawing day

Output format ASCII
Other output format netcdf, GIS
Pre-processing software needed? Yes
Describe pre-processing software For spatial case one can developed its own pre-processing in order to put the input dataset in the format readable for GIPL.
Post-processing software needed? Yes
Describe post-processing software To generate netcdf or GIS outputs one can write its own converter for that.
Visualization software needed? Yes
If above answer is yes ESRI, Matlab
Other visualization software Matlab, Microsoft Excel (for serial); Matlab, ARCGIS, ncview (for spatial model)


Describe processes represented by the model Main purpose of the model is to calculate subsurface temperature profile, active layer depth and freeze-up day.
Describe key physical parameters and equations Thermal capacities and conductivities prescribed for each subsurface layer, volumetric water content and unfrozen water coefficients.
Describe length scale and resolution constraints
Describe time scale and resolution constraints
Describe any numerical limitations and issues


Describe available calibration data sets We have tested the model for different permafrost observation sites for Alaska(USA) and Siberia(Russia). Typically, the model results show good correlation with measured data (if observations are accurate).
Upload calibration data sets if available: Media:Sample.zip
Describe available test data sets
Upload test data sets if available:
Describe ideal data for testing


Do you have current or future plans for collaborating with other researchers?
Is there a manual available? No
Upload manual if available:
Model website if any
Model forum / discussion board
Comments


This part will be filled out by CSDMS staff

OpenMI compliant No not possible
BMI compliant No not possible
WMT component Not yet"Not yet" is not in the list (Yes, In progress, No but possible, No not possible) of allowed values for the "Code CMT compliant or not" property.
PyMT component
Is this a data component
Can be coupled with:
Model info
Authors
Elchin Jafarov
Source code
DOI

Model citations
Nr. of publications: 30
Total citations: 1331
h-index: 17
m-quotient: 0.81
QR-code

Link to this page
Other models by author


Introduction

GIPL(Geophysical Institute Permafrost Laboratory) is an implicit finite difference one-dimensional heat flow numerical model. The model was developed by V.Romanovsky and G. Tipenko at University of Alaska Fairbanks. First time GIPL was introduced at the 2004 AGU Conference Tipenko G. (2004). The model uses coarse vertical resolution grid which preserves the latent-heat effects in the phase transition zone, even under conditions of rapid or abrupt changes in the temperature fields. It includes upper boundary condition (usually air temperature), constant geothermal heat flux at the lower boundary (typically from 500 to 1000 m) and initial temperature distribution with depth. The other inputs are precipitation, prescribed water content and thermal properties of the multilayered soil column. As an output the model produces temperature distributions at different depths, active layer thickness and calculates time of freeze up. S. Marchenko and others in 2008 extended the model by developing pre-processing procedures which convert GIS format input data into GIPL format. E. Jafarov parallelized the GIPL code in order to run the model on supercomputers with finer grid resolution. The first run of parallel UAF-GIPL2.0 model was in November 2009. The model is still under constant testing and development. However the preliminary results are available in the form of netcdf files. The preliminary results includes temperatures at different depths and active layer thickness. The detailed paper about the parallel model is under development.

IRF

The spatial model consist of three parts: pre-processing, GIPL run and post-processing.

As an input data for the model we use the SNAP(Scenarios Network Planning for Alaska) five GCM composite dataset with A1B emission scenario, which is available on-line and can be freely downloaded from the SNAP web-site.

Pre_processing includes processing of the SNAP dataset by converting it to GIPL input format. When the input dataset is ready we run the Message Passing Interface (MPI) parallel GIPL model. After GIPL run we post-process the model output by converting it netcdf univariate format, which then can by visualized with freely and commercially available softwares like ncview, IDV or ArcGIS.


Issues

Does not include convective heat transfer.

Visualization


References

Tipenko G, Marchenko S, Romanovsky S, Groshev V, Sazonova T. 2004. Spatially distributed model of permafrost dynamics in Alaska. Eos Transactions AGU, 85(47): Fall Meet. Suppl., Abstract C12A-02.

Marchenko SS, Romanovsky VE, Tipenko G. 2008. Numerical modeling of spatial permafrost dynamics in Alaska. In Proceedings of the Ninth International Conference on Permafrost, 29 June–3 July 2008, Fairbanks, Alaska. Institute of Northern Engineering, University of Alaska, Fairbanks.

Links

http://www.wunderground.com/climate/permafrost.asp?MR=1

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