Temperature, Humidity, and Time-Lapse Video Data from the East River Watershed, Water Year 2024

Lundquist, Jessica; Carroll, Rosemary; Gutmann, Ethan; Cramblitt, John

doi:10.15485/2472942

Title: Temperature, Humidity, and Time-Lapse Video Data from the East River Watershed, Water Year 2024

Dataset
Other Related Research

Abstract

A new version of this dataset is available at doi:10.15485/3001338 and is the first citation in the 'Related References' section. It is expands on this dataset by appending another water year of data collection and additional logger sites.This dataset contains time-lapse imagery and distributed measurements of air temperature, relative humidity, dew point, and soil temperature across the East River basin from 3 October 2023 to 12 August 2024. Instruments were deployed at 14 sites as part of the DOE Grant: Seasonal Cycles Unravel Mysteries of Missing Mountain Water organized by Jessica Lundquist (University of Washington), Rosemary Carroll (Desert Research Institute), and Ethan Gutmann (National Center for Atmospheric Research). The data are published to support studies of surface climate or hydrologic processes in complex terrain. Measurements were collected with low-cost data loggers installed 2 m high on evergreen trees or buried just below the soil surface. Time-lapse cameras were deployed at three sites. Imagery from sites AP BONUS and AP5 provides insight into large-scale seasonal snow cover variability. Imagery from site EL2 shows smaller-scale snow patterns across a nearby meadow.Dataset files are organized by site and variable (air measurements, ground measurements, or time-lapse video). Air and ground measurements are packaged inmore »« less

Authors:

;

University of Washington
Desert Research Institute
National Center for Atmospheric Research (NCAR)

Publication Date:: Sun Dec 31 23:00:00 EST 2023

DOE Contract Number:: AC02-05CH11231

Research Org.:: Seasonal Cycles Unravel Mysteries of Missing Mountain Water

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Subject:: 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > AGRICULTURE > SOILS > SOIL TEMPERATURE; EARTH SCIENCE > ATMOSPHERE; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > DEW POINT TEMPERATURE; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR INDICATORS > HUMIDITY > RELATIVE HUMIDITY; EARTH SCIENCE > LAND SURFACE > SOILS; EARTH SCIENCE > SPECTRAL/ENGINEERING > VISIBLE WAVELENGTHS > VISIBLE IMAGERY; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SNOW/ICE; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; ESS-DIVE Location Metadata Reporting Format; Soil Temperature; Surface Temperature

OSTI Identifier:: 2472942

DOI:: https://doi.org/10.15485/2472942

Citation Formats


                    Lundquist, Jessica, Carroll, Rosemary, Gutmann, Ethan, and Cramblitt, John. Temperature, Humidity, and Time-Lapse Video Data from the East River Watershed, Water Year 2024.  United States: N. p., 2023. 
        Web.  doi:10.15485/2472942.

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                    Lundquist, Jessica, Carroll, Rosemary, Gutmann, Ethan, & Cramblitt, John. Temperature, Humidity, and Time-Lapse Video Data from the East River Watershed, Water Year 2024.  United States.  doi:https://doi.org/10.15485/2472942

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                    Lundquist, Jessica, Carroll, Rosemary, Gutmann, Ethan, and Cramblitt, John. 2023.  
"Temperature, Humidity, and Time-Lapse Video Data from the East River Watershed, Water Year 2024".  United States.  doi:https://doi.org/10.15485/2472942.  https://www.osti.gov/servlets/purl/2472942. Pub date:Sun Dec 31 23:00:00 EST 2023

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@article{osti_2472942,

  title        = {Temperature, Humidity, and Time-Lapse Video Data from the East River Watershed, Water Year 2024},

  author       = {Lundquist, Jessica and Carroll, Rosemary and Gutmann, Ethan and Cramblitt, John},

  abstractNote = {A new version of this dataset is available at doi:10.15485/3001338 and is the first citation in the 'Related References' section. It is expands on this dataset by appending another water year of data collection and additional logger sites.This dataset contains time-lapse imagery and distributed measurements of air temperature, relative humidity, dew point, and soil temperature across the East River basin from 3 October 2023 to 12 August 2024. Instruments were deployed at 14 sites as part of the DOE Grant: Seasonal Cycles Unravel Mysteries of Missing Mountain Water organized by Jessica Lundquist (University of Washington), Rosemary Carroll (Desert Research Institute), and Ethan Gutmann (National Center for Atmospheric Research). The data are published to support studies of surface climate or hydrologic processes in complex terrain. Measurements were collected with low-cost data loggers installed 2 m high on evergreen trees or buried just below the soil surface. Time-lapse cameras were deployed at three sites. Imagery from sites AP BONUS and AP5 provides insight into large-scale seasonal snow cover variability. Imagery from site EL2 shows smaller-scale snow patterns across a nearby meadow.Dataset files are organized by site and variable (air measurements, ground measurements, or time-lapse video). Air and ground measurements are packaged in LoggerData.zip, and time-lapse imagery is compiled into short videos 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. The locations metadata file 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.Dataset update 2025-11-18: Modified abstract and related references sections to include new version of dataset.},

  doi          = {10.15485/2472942},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sun Dec 31 23:00:00 EST 2023},

  month        = {Sun Dec 31 23:00:00 EST 2023}

}

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DOI: https://doi.org/10.15485/2472942

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