Hauling field gear up Gothic Mountain…
This dataset contains timelapse videos and distributed measurements of air temperature, relative humidity, dewpoint, and soil temperature across the East River Basin from October 3rd, 2023 to August 12th, 2024. Instruments were deployed in 14 sites as part of the DOE Grant: Seasonal Cycles Unravel Mysteries of Missing Mountain Water organized by lead-PI Dr. Jessica Lundquist (University of Washington), and co-PIs Dr. Rosemary Carroll (Desert Research Institute) and Dr. Ethan Gutmann (National Center for Atmospheric Research). Data are made available for other projects interested in surface climate or hydrologic processes in complex terrain. Measurements are taken with low cost data loggers strapped to trees or buried just below the soil surface. Timelapse videos are availabe from vantage points at three sites. Images from sites AP BONUS and AP5 provide insight into large-scale seasonal snow cover variability across nearby mountains. Images from site EL2 show smaller scale snow patterns across a nearby meadow. Files contained in this dataset are named and organized by site and variable type (air measurements, ground measurements, or timelapse video). Air and ground measurements are packaged in LoggerData.zip, and timelapse videos are stored in TimelapseVideos.zip. File-level metadata contains details for each file included in the dataset. A data dictionary provides units and descriptions for column or row names in all files. Locations metadata describes site characteristics, locations, and associated GPS methods. Dataset update 2025-03-03: Resolved header and datetime formatting inconsistencies within LoggerData.zip files KP1_Air, KP3_Air, KP3_Ground, KP6_Ground, AP3_Ground, AP4_Air, and AP6_Air.
Knowledge graph centered on Temperature, Humidity, and Time-Lapse Video Data f with 7 nodes and 17 connections. Top connected: Jessica D. Lundquist, 5TE soil sensor monitoring, Ethan Gutmann, John Cramblitt, Snow zone delineation through time-lapse photography.
Items connected by shared entities, co-authorship, citations, or semantic similarity.