521 results — topic: Snow & Ice
Snow microphysical processes in orographic turbulence revealed by cloud radar and in situ snowfall camera observations
Seasonal Precipitation Classification during Surface Atmosphere Integrated Field Laboratory Campaign
The Surface Atmosphere Integrated Field Laboratory (SAIL) campaign, conducted from September 2021 to June 2023 in Crested Butte, Colorado, aimed to characterize precipitation processes in the Upper Colorado River Basin (UCRB). This increased observations of snowfall accumulation in this hydrological
Meteorological and Soil Data from Ecohydrology Sensor Towers at Pump House and Snodgrass Mountain in East River Watershed, Colorado, 2019-2025
This data package includes hourly meteorological and soil sensor data at eight ecohydrology monitoring sites in East River Watershed, Colorado as part of the Watershed Function Scientific Focus Area (WFSFA) research led by Lawrence Berkeley National Lab (LBNL). Four field sites were located on the h
SOS: Terrestrial Scanning Lidar Derived Land/Snow Surfaces. Version 1.0
Surface grids of the snow, ground, and vegetation surfaces derived from the six terrestrial scanning lidars that were deployed on three flux towers near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The data were collected to support the analysis of snow depth, snow surface var
SOS: Terrestrial Scanning Lidar L1 Upwind East Tower Raw Point Clouds. Version 1.0
Raw point clouds from the terrestrial scanning lidar #1 (L1) that was deployed on the upwind east flux tower near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The raw point clouds provide information about the distribution of blowing snow particles in the air in addition to va
SOS: Terrestrial Scanning Lidar L2 Upwind East Tower Raw Point Clouds. Version 1.0
Raw point clouds from the terrestrial scanning lidar #2 (L2) that was deployed on the upwind east flux tower near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The raw point clouds provide information about the distribution of blowing snow particles in the air in addition to va
SOS: Terrestrial Scanning Lidar L3 Upwind West Tower Raw Point Clouds. Version 1.0
Raw point clouds from the terrestrial scanning lidar #3 (L3) that was deployed on the upwind west flux tower near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The raw point clouds provide information about the distribution of blowing snow particles in the air in addition to va
SOS: Terrestrial Scanning Lidar L4 Upwind West Tower Raw Point Clouds. Version 1.0
Raw point clouds from the terrestrial scanning lidar #4 (L4) that was deployed on the upwind west flux tower near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The raw point clouds provide information about the distribution of blowing snow particles in the air in addition to va
SOS: Terrestrial Scanning Lidar L6 Downwind Tower Raw Point Clouds. Version 1.0
Raw point clouds from the terrestrial scanning lidar #6 (L6) that was deployed on the downwind flux tower near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The raw point clouds provide information about the distribution of blowing snow particles in the air in addition to valua
SOS: Terrestrial Scanning Lidar L5 Downwind Tower Raw Point Clouds. Version 1.0
Raw point clouds from the terrestrial scanning lidar #5 (L5) that was deployed on the downwind flux tower near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The raw point clouds provide information about the distribution of blowing snow particles in the air in addition to valua
Depth-resolved sagebrush root metabolomics, rhizosphere microbial communities, and geochemistry at the East River Watershed
This data set consists of results from soil nutrient profile, untargeted metabolomics, mass spec imaging, and amplicon sequencing. Data for soil nutrient profile includes common cations (Ca, Mg, Na, and K etc.) extracted from 3 digesting steps – ammonia acetate (for exchangeable cations), nitric aci
Mountain Basin Controls on the Snow-to-Streamflow Signal: An AIC-Weighted Multiple Linear Regression Framework
A regression-based analysis quantifies how basin characteristics modulate the snow-to-streamflow signal. First, we use the ERA5-Land reanalysis gridded product (European Centre for Medium Range Weather Forecasts reanalysis 5 -Land component) for 4,655 hydrologic unit code - 10 (HUC10) mountain basin
Surface Water Quality Data from Beaver-Impacted Streams; Trail Creek and East River, Colorado 2025
This data package contains surface water chemistry measurements collected in 2025 to evaluate how beaver damming and low-tech process-based stream restoration influence water quality and metal mobility in mountainous headwater systems of the Upper Colorado River Basin. Sampling was conducted at Trai
Data from Stewart et al. 2026 "Organic Colloid Composition in Variable-Redox Porewaters within a Mountainous Floodplain"
Redox gradients, often driven by changes in sediment moisture levels in porous, heterogeneous groundwater systems, create dynamic conditions that may promote the production and transport of colloids within natural waters. While much research has focused on the inorganic composition of colloids, the
Data From: "Warming and snow loss increase reliance on old groundwater in a Colorado River headwater"
This repository contains the data and code associated with the paper titled "Warming and snow loss increase reliance on old groundwater in a Colorado River headwater," published in Nature Geoscience, 2026. This study seeks to answer how various ages of groundwater interact with mountainous streamflo
Shorter seasonal snow cover poses a risk to solitary bee populations in a mountainous ecosystem
Riming-dependent snowfall rate and ice water content retrievals for W-band cloud radar
Controls from above and below: Snow, soil, and steepness drive diverging trends of subsurface water and streamflow dynamics
Observations of surface energy fluxes and meteorology in the seasonally snow-covered high-elevation East River watershed during SPLASH, 2021–2023
New Water Development By Enhancing and Restoring Wetlands and Beaver Dam Complexes
New water development should solve more problems that it creates. New water development should link water quantity with water quality. Hopefully, new water development should make both environmental sense and economic sense. Restoring and enhancing degraded stream channels by restoring old beaver da
