摘要:This work presents the Guadalfeo Monitoring Network in Sierra Nevada (Spain), a snowmonitoring network in the Guadalfeo Experimental Catchment, a semiarid areain southern Europe representative of snowpacks with highly variable dynamicson both annual and seasonal scales and significant topographic gradients. Thenetwork includes weather stations that cover the high mountain area in thecatchment and time-lapse cameras to capture the variability of the ablationphases on different spatial scales. The data sets consist of continuousmeteorological high-frequency records at five automatic weather stationslocated at different altitudes ranging from 1300 to 2600ma.s.l. thatinclude precipitation, air temperature, wind speed, air relative humidity andthe short- and longwave components of the incoming radiation, dating from2004 for the oldest station (2510ma.s.l.) (https://doi.org/10.1594/PANGAEA.895236);additionally, daily data sets of the imagery from two time-lapse cameras arepresented, with different scene area (30m×30m, and2km2, respectively) and spatial resolution, that consist of fractionalsnow cover area and snow depth from 2009 (https://doi.org/10.1594/PANGAEA.871706) andsnow cover maps for selected dates from 2011 (https://doi.org/10.1594/PANGAEA.898374).Some research applications of these data sets are also included to highlightthe value of high-resolution data sources to improve the understanding ofsnow processes and distribution in highly variable environments. The datasets are available from different open-source sites and provide both the snowhydrology scientific community and other research fields, such as terrestrialecology, riverine ecosystems or water quality in high mountains, withvaluable information of high potential in snow-dominated areas in semiaridregions.