Contact
| 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
|
|
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 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.
Issues
Does not include convective heat transfer.
Visualization
File:Example.jpg
Input Files
There are 6 input files.
input.txt contains input parameters and input points.
thermo.txt contains thermal and unfrozen water properties.
grid.txt contains used for calculations grid.
bound.txt includes upper boundary temperatures, which are usually air temperature.
snow.txt and rsnow.txt contains snow depth and conductivity.
Output Files
The are two main output files.
results.txt contains results which are depend on time step prescribed by user in input.txt file (usually timestep = 1 day).
mean.txt contains results which are depend on mean time step, also assigned in input.txt
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.
GIPL
Metadata
Summary
| Also known as
|
|
| Model type
|
Single
|
| Model part of larger framework
|
|
| Note on status model
|
|
| Date note status model
|
|
Technical specs
| Supported platforms
|
Unix, Linux, Windows
|
| Other platform
|
|
| Programming language
|
Fortran90, Matlab
|
| Other program language
|
|
| Code optimized
|
Single Processor, Parallel
Computing"Parallel </br>Computing" is not in the list (Single Processor, Multiple Processors) of allowed values for the "Code optimized" property.
|
| 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
|
As executable"As executable" is not in the list (As code, As teaching tool) of allowed values for the "Model availability" property.
|
Source code availability
(Or provide future intension)
|
Through owner"Through owner" is not in the list (Through web repository, Through CSDMS repository) of allowed values for the "Source code availability" property.
|
| 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
|
In/Output
| 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)
|
Process
| 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
|
|
Testing
| 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
|
|
Other
| 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
|
|
|
