466e1bda-125c-4589-b609-ddb986cac15a Scenarios Network for Alaska and Arctic Planning uaf-snap-data-tools@alaska.edu 2022-08-18T10:13:11 ISO 19115:2003/19139 1.0 2 2557 771 4762 771 EPSG:3338 Projected Derived DOF/DOT/LOGS - 771m CMIP5/AR5 2014-02-17 1.0.0 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. ---- The spatial extent includes Alaska. Each set of files originates from one of five top ranked global circulation models from the CMIP5/AR5 models and RPCs, 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. Matthew Leonawicz Tom Kurkowski John Walsh Scott Rupp Michael Lindgren Scenarios Network for Alaska and Arctic Planning uaf-snap-data-tools@alaska.edu https://catalog.snap.uaf.edu/geonetwork/srv/api/records/466e1bda-125c-4589-b609-ddb986cac15a/attachments/logs_771m_projected_preview.png projected modeled freeze thaw growing season https://creativecommons.org/licenses/by/4.0/ 771 eng climatologyMeteorologyAtmosphere 2010-01-01 2100-12-15 -178.20 -130.00 51.20 71.40 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. geotiff gdal Float32, LZW compression http://data.snap.uaf.edu/data/Base/AK_771m/projected/AR5_CMIP5_models/Projected_Derived_DOF_DOT_LOGS_771m_CMIP5_AR5/ WWW:LINK-1.0-http--link Projected Derived DOF/DOT/LOGS - 771m CMIP5/AR5 URL to web-accessible folder containing downloads for this data set