Model:GIPL: Difference between revisions

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{{Model identity
|Model type=Single
}}
{{Start models incorporated}}
{{End a table}}
{{Model identity2
|ModelDomain=Terrestrial, Cryosphere
|Spatial dimensions=1D
|Spatialscale=Continental, Global, Landscape-Scale, Regional-Scale
|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).
}}
{{Start model keyword table}}
{{Model keywords
|Model keywords=heat flow
}}
{{Model keywords
|Model keywords=permafrost
}}
{{End a table}}
{{Modeler information
{{Modeler information
|First name=Elchin
|First name=Elchin
|Last name=Jafarov
|Last name=Jafarov
|Institute / Organization=Univ. of Alaska Fairbanks
|Type of contact=Model developer
|Town / City=Fairbanks
|Institute / Organization=University of Colorado
|Postal code=99775
|Town / City=Boulder
|State=Alaska
|Postal code=80309
|Country=US
|Country=United States
|Email address=eejafarov@alaska.edu
|State=Colorado
}} {{Model identity
|Email address=Elchin.Jafarov@colorado.edu
|Model type=Single
}}
|Categories=Model domain, Terrestrial
{{Model technical information
|Spatial dimensions=1D
|Spatialscale=Global, Continental, Regional-Scale, Landscape-Scale
|One-line model description=--
|Extended model description=--
}} {{Model technical information
|Supported platforms=Unix, Linux, Windows
|Supported platforms=Unix, Linux, Windows
|Programming language=Fortran90, Matlab
|Programming language=Fortran90, Matlab
|Code optimized=Single Processor, Parallel
|Code optimized=Single Processor, Multiple Processors
Computing
|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
|DevelopmentCode=As is, no updates are provided
|Source code availability=Through owner
|DevelopmentCodeYearChecked=2020
|Model availability=As code
|Source code availability=Through web repository
|Source web address=https://github.com/Elchin/GIPL
|Program license type=Other
|Program license type=Other
|OpenMI compliant=No not possible
|CCA component=No not possible
|IRF interface=No not possible
|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
}} {{Input - Output description
}}
{{Input - Output description
|Describe input parameters=Upper Boundary (Air temperature)
|Describe input parameters=Upper Boundary (Air temperature)
Lower Boundary (Temperature gradient)
Lower Boundary (Temperature gradient)
Line 47: Line 62:
|If above answer is yes=ESRI, Matlab
|If above answer is yes=ESRI, Matlab
|Other visualization software=Matlab, Microsoft Excel (for serial); Matlab, ARCGIS, ncview (for spatial model)
|Other visualization software=Matlab, Microsoft Excel (for serial); Matlab, ARCGIS, ncview (for spatial model)
}} {{Process description model
}}
{{Process description 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 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 key physical parameters and equations=Thermal capacities and conductivities prescribed for each subsurface layer, volumetric water content and unfrozen water coefficients.
}} {{Model testing
}}
{{Model 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).
|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).
}} {{Users groups model}} {{Documentation model
|Model calibration data=Sample.zip,
}}
{{Users groups model}}
{{Documentation model
|Manual model available=No
|Manual model available=No
}} {{Additional comments model}} <!-- PLEASE USE THE &quot;EDIT WITH FORM&quot; BUTTON TO EDIT ABOVE CONTENTS; CONTINUE TO EDIT BELOW THIS LINE -->
}}
 
{{Additional comments model}}
== Introduction ==
{{CSDMS staff part
 
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. 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 driving force for the GIPL upper boundary condition and constant geothermal heat flux at the lower boundary (typically from 500 to 1000 m). 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.
 
Environmental Sciences (CIRES) and Department of Geological Sciences at the University of Colorado |Postal address 1=University of Colorado |Postal address 2=Campus Box 399 |Town / City=Boulder |Postal code=80309 |State=Colorado |Country=USA |Email address=gtucker@colorado.edu |Phone=+1 303 492 6985 |Fax=+1 303 492 2606 }} {{Model identity
|Model type=Modular
|Categories=Terrestrial
|Spatial dimensions=3D
|One-line model description=Landscape Evolution Model
|Extended model description=CHILD computes the time evolution of a topographic surface z(x,y,t) by fluvial and hillslope erosion and sediment transport.
}} {{Model technical information
|Supported platforms=Unix, Linux, Mac OS
|Programming language=C++
|Start year development=1997
|Does model development still take place?=Yes
|Model availability=As code, As executable
|Source code availability=Through CSDMS repository
|Program license type=GPL v2
|OpenMI compliant=No but possible
|OpenMI compliant=No but possible
|IRF interface=No but possible
|CMT component=In progress
|PyMT component=Yes
|CCA component=No but possible
|CCA component=No but possible
|IRF interface=Yes
}}
|Memory requirements=depends on grid size
{{DOI information
|Typical run time=minutes to days
|DOI model=10.1594/IEDA/100131
}} {{Input - Output description
|DOI assigned to model version=0.1
|Describe input parameters=Topography z(x,y) or parameters describing a topographic surface; rate coefficients; switches for activating options and choosing between alternative transport/erosion formulas. Uses a formatted text file for input of parameters.
|DOI-year assigned to model version=2011
|Input format=ASCII
|DOI-filelink=https://csdms.colorado.edu/pub/models/doi-source-code/gipl-10.1594.IEDA.100131-0.1.tar.gz
|Describe output parameters=Outputs include grids of surface elevation, drainage area, gradient, stratigraphy, drainage direction, Voronoi cell areas, sediment texture; data on mesh configuration; total landscape volume and change in volume at each storm (time step); list of storm durations, timing, and intensities.
}}
|Output format=ASCII
{{Start coupled table}}
|Pre-processing software needed?=No
{{End a table}}
|Post-processing software needed?=Yes
{{End headertab}}
|Describe post-processing software=Yes, An extensive library of Matlab scripts provides visualization and post-processing capabilities. A few scripts also exist for IDL, and it is possible to process the output to generate lists of points for input to ArcGIS.
{{{{PAGENAME}}_autokeywords}}
|Visualization software needed?=Yes
|If above answer is yes=ESRI, IDL, Matlab
}} {{Process description model
|Describe processes represented by the model=Main processes include runoff generation, fluvial erosion and sediment transport, and sediment transport by soil creep.
|Describe key physical parameters and equations=Too many to list here -- see Tucker et al. (2001a), the CHILD Users Guide, and other documents listed in the bibliography.
|Describe length scale and resolution constraints=In principle, the model can address spatial scales ranging from gullies and small (~1km2) catchments to mountain ranges, as long as setup and parameters are chosen appropriately. Resolutions greater than about 10,000 nodes normally require significant computation time.
|Describe time scale and resolution constraints=The steady flow assumption used by most (not all) hydrology sub-models restricts time scale to periods significantly longer than a single storm. The model has been mostly used to address time scales relevant to significant topographic evolution, though in the case of rapidly changing landscapes (e.g., gully networks) this can be as short as decades.
|Describe any numerical limitations and issues=The fluvial sediment transport equations are quasi-diffusive and typically have orders of magnitude spatial variations in rate coefficient (reflecting differences in water discharge), which makes the system of equations stiff and difficult to solve efficiently.
}} {{Model testing
|Describe available calibration data sets=The model has been benchmarked against analytical solutions for simple cases, such as fluvial slope-area scaling and parabolic to parabolic-planar hillslope form under uniform erosion, materials, and climate. Testing and calibration of some of the individual components (e.g., linear and nonlinear soil creep, stream-power fluvial erosion law, etc.) have been reported in the literature (for a review, see Tucker and Hancock, 2009). Testing of the full coupled model using natural experiments (Tucker, 2009) is ongoing.
|Describe available test data sets=(pending)
|Describe ideal data for testing=See Tucker, 2009 (in review)
}} {{Users groups model
|Do you have current or future plans for collaborating with other researchers?=Yes, both.
}} {{Documentation model
|Provide key papers on model if any=Tucker, G.E., Lancaster, S.T., Gasparini, N.M., and Bras, R.L. (2001) The Channel-Hillslope Integrated Landscape Development (CHILD) Model, in Landscape Erosion and Evolution Modeling, edited by R.S. Harmon and W.W. Doe III, Kluwer Academic/Plenum Publishers, pp. 349-388.
|Manual model available=Yes
|Model website if any='''The CSDMS web site''' (this model section)
}} {{Additional comments model
|Comments=Updated manual is forthcoming ...
}} {{Infobox Model
|model name              = CHILD
|developer                = '''Tucker''', Greg
|one-line-description    = Landscape Evolution Model   
|type                    = Model
|source                  = <linkedimage>wikipage=Model:CHILD
tooltip=CHILD Download
img_src=Green1.png</linkedimage> [[Image:IRF compatible.png|18px]]
}} <!-- Edit the part above to update info on other papers -->


== Example Spatial Mapping of Active layer depth for Alaska&nbsp; ==
<!-- PLEASE USE THE &quot;EDIT WITH FORM&quot; BUTTON TO EDIT ABOVE CONTENTS; CONTINUE TO EDIT BELOW THIS LINE -->


==== Scenario 1: A1B  ====
== Introduction ==
 
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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.


== History ==
== IRF ==


== Papers  ==


== Issues  ==
== Issues  ==
Does not include convective heat transfer.


== Help  ==
== Visualization ==
 
[[File:m22000.jpg]]
== Input Files  ==


== Output Files  ==


== Download ==
== References ==
<br>{{AddReferenceUploadButtons}}<br><br>
{{#ifexist:Template:{{PAGENAME}}-citation-indices|{{{{PAGENAME}}-citation-indices}}|}}<br>
{{Include_featured_references_models_cargo}}<br>


== Source ==
== Links ==

Latest revision as of 20:17, 16 September 2020



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 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
DOI

Model citations
Nr. of publications: 28
Total citations: 1146
h-index: 16
m-quotient: 0.8
QR-code
Qrcode GIPL.png
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 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

M22000.jpg


References



Nr. of publications: 28
Total citations: 1146
h-index: 16
m-quotient: 0.8



Featured publication(s)YearModel describedType of ReferenceCitations
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 103
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

107
See more publications of GIPL


Links

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