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These are maps of monthly averages of daily maximum air temperature for the Upper Gunnison domain measured in degrees C. Estimates were derived from weather station and microclimate sensor data using Bayesian regression-kriging, incorporating topographic and vegetation structure covariates. These data were derived from daily maps, which are also available.<br /><br />To reduce storage space, original estimates were multiplied by 10000 and stored as integer data. Divide the map values by 10000 to retrieve the original estimates.<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('R4D007')<br /> metadata <- sdp_get_metadata('R4D007')<br /> <br /> For more information about rSDP, visit the <a href="https://rmbl-sdp.github.io/rSDP/"> package homepage</a>.
Knowledge graph centered on Maximum 2m Air Temperature Monthly Timeseries with 4 nodes and 6 connections. Top connected: Upper East River Beaver Pond, Random Forest climate downscaling, Atmospheric surface flux measurements.
Items connected by shared entities, co-authorship, citations, or semantic similarity.