Projected Derived DOF/DOT/LOGS - 771m CMIP3/AR4

This set of files includes downscaled projections of decadal means of annual day of freeze or thaw (ordinal day of the year), and length of growing season (numbers of days, 0-365) for each decade from 2010 - 2100 at 771x771 meter spatial resolution. Each file represents a decadal mean of an annual mean calculated from mean monthly data.

Day of freeze or thaw units are ordinal day 15-350 with the below special cases.

Day of Freeze (DOF)
0 = Primarily Frozen
365 = Rarely Freezes

Day of Thaw (DOT)
0 = Rarely Freezes
365 = Primarily Frozen

Length of Growing Season (LOGS) is simply the number of days between the DOT and DOF.

The spatial extent includes Alaska.

Each set of files originates from one of five top ranked global circulation models from the CMIP3/AR4 models and SRES scenarios, or is calculated as a 5 Model Average.

Day of Freeze, Day of Thaw, Length of Growing Season calculations:
Estimated ordinal days of freeze and thaw are calculated by assuming a linear change in temperature between consecutive months. Mean monthly temperatures are used to represent daily temperature on the 15th day of each month. When consecutive monthly midpoints have opposite sign temperatures, the day of transition (freeze or thaw) is the day between them on which temperature crosses zero degrees C. The length of growing season refers to the number of days between the days of thaw and freeze.

This amounts to connecting temperature values (y-axis) for each month (x-axis) by line segments and solving for the x-intercepts. Calculating a day of freeze or thaw is simple. However, transitions may occur several times in a year, or not at all. The choice of transition points to use as the thaw and freeze dates which best represent realistic bounds on a growing season is more complex. Rather than iteratively looping over months one at a time, searching from January forward to determine thaw day and from December backward to determine freeze day, stopping as soon as a sign change between two months is identified, the algorithm looks at a snapshot of the signs of all twelve mean monthly temperatures at once, which enables identification of multiple discrete periods of positive and negative temperatures. As a result more realistic days of freeze and thaw and length of growing season can be calculated when there are idiosyncrasies in the data.

Data and Resources

Additional Info

Spatial resolution

771 meters

Temporal extent

Start date: January 2010

End date: December 2100


The following people worked on producing this data set:

  • Matthew Leonawicz
  • Tom Kurkowski
  • John Walsh
  • Scott Rupp
  • Michael Lindgren
Field Value
Maintainer Tom Kurkowski
Version 1.0.0
access_constraints [""]
bbox-east-long 180
bbox-north-lat 71.416
bbox-south-lat 53.565000000000005
bbox-west-long -180
coupled-resource []
credits ["Matthew Leonawicz", "Tom Kurkowski", "John Walsh", "Scott Rupp", "Michael Lindgren"]
dataset-reference-date [{"type": "revision", "value": "2011-11-30T01:00:00"}]
frequency-of-update asNeeded
graphic-preview-description thumbnail
graphic-preview-file dof_5modelAvg_sresa1b_2050_2059_thumb_s.png
graphic-preview-type png
guid 421d5e2f-ceea-4094-afe4-1993b0ed7f58
licence []
license Creative Commons Attribution 4.0
metadata-date 2015-05-26T13:56:10
progress onGoing
responsible-party [{"name": "Scenarios Network for Alaska and Arctic Planning (SNAP)", "roles": ["pointOfContact"]}]
spatial {"type": "Polygon", "coordinates": [[[-180.0, 53.565], [180.0, 53.565], [180.0, 71.416], [-180.0, 71.416], [-180.0, 53.565]]]}
spatial-reference-system 3338
spatial-resolution 771
spatial-resolution-units meters
spatial_harvester true
temporal-extent-begin 2010-01-15T00:00:00
temporal-extent-end 2100-12-15T11:00:00