Model:Frost Model

Frost Model

Also known as	FrostNumber
Model type	Single
Model part of larger framework

Incorporated models or components:

Spatial dimensions	1D, 1.5D
Spatial extent	Regional-Scale
Model domain	Terrestrial, Cryosphere
One-line model description	Frost model predicts the likelihood of occurrence of permafrost in the land surface based on the monthly temperature distribution
Extended model description	This model implement the calculation of the 'Frost Number', a dimensionless ratio based on freezing and thawing degree days in the year. Specifically, the 'Air Frost Number' intents to predict the existence of permafrost at a given location based on a cosine-function approximating the annual temperature distribution.

Keywords:	annual temperature, cryosphere, permafrost,

Supported platforms	Unix, Mac OS
Other platform
Programming language	Python
Other program language
Code optimized	Single Processor
Multiple processors implemented
Nr of distributed processors
Nr of shared processors
Start year development	2016
Does model development still take place?	Yes
If above answer is no, provide end year model development
Code development status	Active
When did you indicate the 'code development status'?	2020
Model availability	As code, As teaching tool
Source code availability (Or provide future intension)	Through web repository
Source web address	https://github.com/permamodel
Source csdms web address
Program license type	BSD or MIT X11
Program license type other
Memory requirements	small
Typical run time	short

Describe input parameters	USer-specified data on temperature distributions We present the Frost model with a subsampled version of the CRU-NCEP reanalysis data for the region of Alaska. The geographical extent of this dataset has been reduced to greatly reduce the number of ocean, Aleatian Islands or Canadian pixels. The spatial resolution has been reduced by a factor of 13 in each direction, resulting in an effective pixel resolution of about 10km. The data are monthly average temperatures for each month from January 1901 through December 2009.
Input format
Other input format	NetCDF
Describe output parameters	Air Frost number
Output format
Other output format	NetCDF
Pre-processing software needed?	No
Describe pre-processing software
Post-processing software needed?	No
Describe post-processing software
Visualization software needed?	Yes
If above answer is yes
Other visualization software	Any NetCDF visualizationPanoply

Describe processes represented by the model	The mean annual temperature of the warmest and coldest months at a given location gives a first-order estimate of distribution of permafrost.
Describe key physical parameters and equations	[[Describe key physical parameters::F = [DDF/DDT]^(1/2) F= Air Frost number DDF = Degree Days of Freezing DDT = Degree Days of Thawing]]
Describe length scale and resolution constraints	There is no specific length scale and resolution to the index, as long as temperature conditions remains similar over the scale.
Describe time scale and resolution constraints	mean annual conditions
Describe any numerical limitations and issues

Describe available calibration data sets	N/A
Upload calibration data sets if available:
Describe available test data sets	N/A
Upload test data sets if available:
Describe ideal data for testing	N/A

Do you have current or future plans for collaborating with other researchers?	This is part of a the Permafrost Model toolbox, current collaboration with Elchin Jafarov at Los Alamos National Labs and with Kevin Schaeffer at the National Snow and Ice Data Center, and Gary Clow at the USGS, Denver, is ongoing for development of this toolbox.

Is there a manual available?	No
Upload manual if available:
Model website if any
Model forum / discussion board

Comments

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Model info

Authors

Stewart

Source code

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See also Model:Kudryavtsev_Model, another model in the Permamodel project.