375 results — topic: Snow & Ice

Dataset

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

Raut, Bhupendra, O'Brien, Joseph, Sherman, Zachary2026DOI: 10.5439/2530631
Dataset

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

Wu, Yuxin, Chou, Chunwei, Beutler, Curtis2026DOI: 10.15485/3007697Cited 1 times
Dataset

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

Gutmann, E., Lundquist, J.2026DOI: 10.26023/a5yf-gd43-3900
Dataset

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

Gutmann, E., Lundquist, J.2026DOI: 10.26023/1y3p-hsyz-0a09
Dataset

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

Gutmann, E., Lundquist, J.2026DOI: 10.26023/g9c5-pz82-ns0r
Dataset

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

Gutmann, E., Lundquist, J.2026DOI: 10.26023/gm9s-br2k-6a00
Dataset

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

Gutmann, E., Lundquist, J.2026DOI: 10.26023/h4ay-wsa3-ct0x
Dataset

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

Gutmann, E., Lundquist, J.2026DOI: 10.26023/s2vd-jm09-a514
Dataset

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

Gutmann, E., Lundquist, J.2026DOI: 10.26023/j4e4-amf7-2g0r
Dataset

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

Li, Langlang, Munoz, Nathalie, Velickovic, Dusan2026DOI: 10.15485/3021477
Dataset

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

Carroll, Rosemary, Gordon, Beatrice, Siirila-Woodburn, Erica2026DOI: 10.15485/2998373
Dataset

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

Sam Pierce, Jessica Pall2026DOI: 10.15485/3022760
Dataset

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

Brandy Stewart, Vincent Noel, Kristin Boye2026DOI: 10.15485/3016270
Dataset

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

Erica Siirila-Woodburn, Nicholas Thiros, Michelle Newcomer2026DOI: 10.15485/3013287
Dataset

Data for "Depth of nutrient uptake by deep-rooted plants is regulated by water availability"

The data set consists of strontium (Sr) isotope ratios (87Sr/86Sr), water isotopes, soil cation concentrations, soil water potential sensor data, and results of 87Sr/86Sr mixing model. The plant canopy size files include the dataset of canopy dimension of sagebrush, lupine, and sunflower. The soil a

Langlang Li, John Christensen, Markus Bill2026DOI: 10.15485/2998779Cited 1 times
Dataset

Geophysical survey associated with NEON AOP survey, East River, CO 2018

The package contains data layers developed and used in Falco et al. 2024: “EcoImaging: Advanced Sensing to Investigate Plant and Abiotic Hierarchical Spatial Patterns in Mountainous Watersheds". The package is part of the DOE Watershed Function Science Focus Area (SFA) project and includes geophysic

Nicola Falco, Jack Lamb, Jiancong Chen2026DOI: 10.15485/3013006
Dataset

Cosmogenic Nuclide Burial Isochron Data for the Central City Gravel, Malta Gravel, and Lava Creek B Ash Locations: Classic Locations of Early to Middle Pleistocene Deposits, South Platte and Arkansas Rivers, Central Colorado, USA

This data release includes Al-26/Be-10 cosmogenic nuclide concentrations and burial isochron ages for three locations in central Colorado, USA, with preferred burial ages ranging from ~2 Ma to 600 ka, that provide constraints on geologic mapping and chronostratigraphic correlations of Pleistocene Co

Chester A. Ruleman, Rachel N Sortor, Adam M Hudson2025DOI: 10.5066/p14tggx4
Dataset

Data from: Drivers of spring migration phenology in Rocky Mountain elk

By migrating, ungulates take advantage of cyclical fluctuations in resources, which allows them to persist at greater population numbers than they would in the absence of these seasonal movements. We sought to identify the drivers of spring elk (Cervus canadensis) migration and evaluate how well ind

Crews, Storm, Rayl, Nathaniel, Alldredge, Mathew2025DOI: 10.5061/dryad.v41ns1s71
Dataset

Data from: Betting on rains that do not come: Monsoon failure and leaf area overshoot relate to increased tree mortality from drought

Structural overshoots, where biomass is overallocated to tree leaf area compared to sapwood area, could result in lethal stress during droughts. Climate change may alter climatic cues that drive leaf area production, such as temperature and precipitation, as well as seasonal dynamics that underlie s

Kerr, Kelly, Anderegg, Leander, Trugam, Anna2025DOI: 10.5061/dryad.vt4b8gv3qCited 1 times
Dataset

AmeriFlux US-UR4 Gunnison - UCRB

This is the AmeriFlux version of the carbon flux data for the site US-UR4 Gunnison - UCRB. Site Description - This site is located in Gunnison, Colorado, within a floodplain at a notable elevation. The region experiences cold winters with significant snow cover and cool summers. The ecosystem is hom

Neale, Christopher2025DOI: 10.17190/amf/2998638