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 Continental, Global, Landscape-Scale, Regional-Scale Model domain Terrestrial, Cryosphere 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 GIPL model uses the effect of snow layer and subsurface soil thermal properties to simulate ground temperatures and active layer thickness (ALT) by solving the 1D heat diffusion equation with phase change. The phase change associated with freezing and thawing process occurs within a range of temperatures below 0 degree centigrade, and is represented by the unfrozen water curve (Romanovsky and Osterkamp 2000). The model employs finite difference numerical scheme over a specified domain. The soil column is divided into several layers, each with distinct thermo-physical properties. The GIPL model has been successfully used to map permafrost dynamics in Alaska and validated using ground temperature measurements in shallow boreholes across Alaska (Nicolsky et al. 2009, Jafarov et al. 2012, Jafarov et al. 2013, Jafarov et al. 2014). Keywords: heat flow, permafrost, Name Elchin Jafarov Type of contact Model developer Institute / Organization University of Colorado Postal address 1 Postal address 2 Town / City Boulder Postal code 80309 State Colorado Country United States Email address Elchin.Jafarov@colorado.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 As is, no updates are provided When did you indicate the 'code development status'? 2020 Model availability As code Source code availability (Or provide future intension) Through web repository Source web address https://github.com/Elchin/GIPL 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 but possible BMI compliant No but possible WMT component In progress PyMT component Yes Is this a data component DOI model 10.1594/IEDA/100131 For model version 0.1 Year version submitted 2011 Link to file https://csdms.colorado.edu/pub/models/doi-source-code/gipl-10.1594.IEDA.100131-0.1.tar.gz 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 uses fine 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. The results include temperatures at different depths and active layer thickness, freeze-up days.

Issues

Does not include convective heat transfer.

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References

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

Featured publication(s)	Year	Model described	Type of Reference	Citations
Jafarov, E E; Romanovsky, V E; Genet, H; McGuire, A D; Marchenko, S S; 2013. The effects of fire on the thermal stability of permafrost in lowland and upland black spruce forests of interior Alaska in a changing climate. Environmental Research Letters, 8, 035030. 10.1088/1748-9326/8/3/035030 (View/edit entry)	2013	GIPL	Model application	122
Sazonova, T. S.; Romanovsky, V. E.; 2003. A model for regional-scale estimation of temporal and spatial variability of active layer thickness and mean annual ground temperatures. Permafrost and Periglacial Processes, 14, 125–139. 10.1002/ppp.449 (View/edit entry)	2003	GIPL Kudryavtsev Model	Related theory	114
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