Model:Frost Model

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Frost Model

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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, 1.5D Spatial extent Regional-Scale Model domain 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, Name Irina Overeem Type of contact Technical contact Institute / Organization CSDMS Postal address 1 4001 Discovery Dr Postal address 2 Town / City Boulder Postal code 80303 State Colorado Country United States Email address irina.overeem@colorado.edu Phone +1-303-4926631 Fax Name Kang Wang Type of contact Technical contact Institute / Organization CSDMS Postal address 1 4001 Discovery Dr Postal address 2 Town / City Postal code 80303 State Colorado Country United States Email address kang.wang@colorado.edu Phone Fax 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 When did you indicate the 'code development status'? Model availability As teaching tool, As code 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 visualization Panoply 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 This part will be filled out by CSDMS staff OpenMI compliant No not possible BMI compliant Yes WMT component Yes PyMT component Is this a data component Can be coupled with:

Model info Authors Irina Overeem Stewart Source code Go to external source code site Model citations Nr. of publications: -- Total citations: 0 h-index: --"--" is not a number. m-quotient: 0 QR-code Link to this page Other models by author AquaTellUs CMIP Frost Model Kudryavtsev Model River Temperature Model

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