Counting marmots…
These are maps of annual accumulated snow-free growing potential (snow-free growing degree days, SFGDD) for the Upper Gunnison domain, derived from daily maximum air temperature maps interpolated from weather station and microclimate sensor data combined with Landsat-derived estimates of the timing of seasonal snowpack departure and onset. The original daily maps are also available.<br /><br />Snow-free growing degree-days were accumulated from day-of-year 60 to day-of-year 305 (March 1st to November 1st in a non-leap year). To compute growing degree days, daily estimates of temperatures above a base of 5 degrees Celcius (the minimum growth threshold for many plants) were summed across all days estimated to be free of snow. Because snowpack insulates the ground surface and soil from the atmosphere, this estimate can be a more appropriate measure of the energy available for biological processes in snow-dominated climates.<br /><br />These maps represent annual values computed from 2002 to 2022. 20-year averages (2002 - 2021) are also available.<br /><br /> <br /> In addition to the download links on this page, you can access this dataset and metadata using the <a href="https://github.com/rmbl-sdp/rSDP/">rSDP R Package</a>:<br /> <br /> #devtools::install_github('rmbl-sdp/rSDP')<br /> library(rSDP)<br /> dataset <- sdp_get_raster('R4D019')<br /> metadata <- sdp_get_metadata('R4D019')<br /> <br /> For more information about rSDP, visit the <a href="https://rmbl-sdp.github.io/rSDP/"> package homepage</a>.
Knowledge graph centered on Snow-free Growing Degree-days Annual Timeseries with 4 nodes and 6 connections. Top connected: Upper East River Beaver Pond, Satellite-based snow disappearance tracking, Random Forest climate downscaling.
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