Snow Depth Datasets for Snodgrass Catchment, Colorado, Water Year 2022-2023
- University of Connecticut
- Lawrence Berkeley National Laboratory
This data package presents snow depths data from distributed temperature probes at 18 locations near Snodgrass catchment, Colorado. These data show that snow melt-out dates are approximately one or two weeks later under evergreen forests compared to other vegetation types even at the same elevation. These data were collected to understand how snowmelt heterogeneity impacts headwater hydrology, including streamflow and groundwater levels. They were also used to compare with process-based model simulations of snow depth to evaluate whether the model accurately represents snowmelt dynamics and their effects on headwater hydrology. Snow_DTPs_locations.csv includes all probes locations and their associated elevation and vegetation types. Snow_Depth_Snodgrass_WY2022_2023.csv includes processed snow depths datasets for Water Year (WY) 2022 and 2023. This dataset also includes a file-level metadata (flmd.csv) file that lists each file contained in the dataset with associated metadata and a data dictionary (dd.csv) file that contains column/row headers used throughout the files along with a definition, units, and data type. Several probes have recordings for WY 2021.
- Research Organization:
- Watershed Function SFA
- Sponsoring Organization:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- DOE Contract Number:
- AC02-05CH11231
- OSTI ID:
- 2572212
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
EARTH SCIENCE > CLIMATE INDICATORS > CRYOSPHERIC INDICATORS > SNOW DEPTH
EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SNOW/ICE
ESS-DIVE CSV File Formatting Guidelines Reporting Format
ESS-DIVE File Level Metadata Reporting Format
headwater hydrology
snowmelt heterogeneity