Model:GIPL

GIPL

Metadata

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 (Tipenko G. 2004). 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 (Romanovsky and Osterkamp 2000, 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
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

DOI model	10.1594/IEDA/100131
For model version	0.1
Year version submitted	2011
Link to file

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

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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.

IRF

Issues

Does not include convective heat transfer.

Visualization

References

Source code

Suggested way to reference a version of the model source code following data reference guidelines:

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Publication(s)	Model described	Citations

Overview and general

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Applications

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Related theory and data

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Links

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