Model:GIPL

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GIPL

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Summary Contact Technical specs In/Output Process Testing Other Component info Also known as Model type Single Model part of larger framework Note on status model Date note status model Incorporated models or components: Spatial dimensions 1D Spatial extent Global, Continental, Regional-Scale, Landscape-Scale Model domain One-line model description GIPL(Geophysical Institute Permafrost Laboratory) is an implicit finite difference one-dimensional heat flow numerical model. 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. Keywords: heat flow, permafrost, 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 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 As code Source code availability (Or provide future intension) Through CSDMS repository 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 In progress PyMT component Is this a data component Can be coupled with:

Model info Authors Elchin Jafarov Source code Go to external source code site DOI Download GIPL version: 0.1 Doi: 10.1594/IEDA/100131 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 GIPL

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