521 results — topic: Snow & Ice

Dataset

Snow-free Freezing Degree-days Early Season Standard Deviation (2002-2021)

This is a map of temporal variability in accumulated spring snow-free growing potential (snow-free growing degree days, SFGDD) for the Upper Gunnison domain, derived from daily maximum air temperature maps interpolated from weather station and microclimate sensor data combined with Landsat-derived e

Ian Breckheimer2023
Dataset

Snow-free Freezing Degree-days Early Season Mean (2002-2021)

This is a map of accumulated spring snow-free freezing potential (snow-free freezing degree days, SFFDD) for the Upper Gunnison domain, derived from daily minimum temperature maps interpolated from weather station and microclimate sensor data combined with Landsat-derived estimates of the timing of

Ian Breckheimer2023
Dataset

Snow-free Freezing Degree-days Annual Standard Deviation (2002-2021)

This is a map of temporal variability in accumulated snow-free freezing potential (freezing degree days, FDD) for the Upper Gunnison domain, derived from daily minimum temperature maps interpolated from weather station and microclimate sensor data combined with Landsat-derived estimates of the timin

Ian Breckheimer2023
Dataset

Snow-free Freezing Degree-days Annual Mean (2002-2021)

This is a map of accumulated snow-free freezing potential (freezing degree days, FDD) for the Upper Gunnison domain, derived from daily minimum temperature maps interpolated from weather station and microclimate sensor data combined with Landsat-derived estimates of the timing of seasonal snowpack d

Ian Breckheimer2023
Dataset

Snow-free Growing Degree-day 0-60 Days Post Snow Timeseries

These are maps of annual accumulated snow-free growing potential (snow-free growing degree days, SFGDD) for the Upper Gunnison domain, derived from daily maximum temperature maps interpolated from weather station and microclimate sensor data combined with Landsat-derived estimates of the timing of s

Ian Breckheimer2023
Dataset

Snow-free Growing Degree-days Late Season Timeseries

These are maps of accumulated fall snow-free growing potential (snow-free growing degree days, SFGDD) for the Upper Gunnison domain, derived from daily maximum air temperature maps interpolated from weather station and microclimate sensor data combined with Landsat-derived estimates of the timing of

Ian Breckheimer2023
Dataset

Snow-free Growing Degree-days Early Season Timeseries

These are maps of annual accumulated spring snow-free growing potential (snow-free growing degree days, SFGDD) for the Upper Gunnison domain, derived from daily maximum air temperature maps interpolated from weather station and microclimate sensor data combined with Landsat-derived estimates of the

Ian Breckheimer2023
Dataset

Snow-free Freezing Degree-days 0-60 days Post-snow Timeseries

These are maps of annual accumulated snow-free freezing potential (freezing degree days, FDD) for the Upper Gunnison domain, derived from daily minimum temperature maps interpolated from weather station and microclimate sensor data combined with Landsat-derived estimates of the timing of seasonal sn

Ian Breckheimer2023
Dataset

Snow-free Growing Degree-days Annual Timeseries

These are maps of annual accumulated snow-free growing potential (snow-free growing degree days, SFGDD) for the Upper Gunnison domain, derived from daily maximum air temperature maps interpolated from weather station and microclimate sensor data combined with Landsat-derived estimates of the timing

Ian Breckheimer2023
Dataset

Snow-free Freezing Degree-days Early Season Timeseries

These are maps of annual accumulated spring snow-free freezing potential (snow-free freezing degree days, SFFDD) for the Upper Gunnison domain, derived from daily minimum temperature maps interpolated from weather station and microclimate sensor data combined with Landsat-derived estimates of the ti

Ian Breckheimer2023
Dataset

Snow-free Freezing Degree-days Late Season Timeseries

These are maps of annual accumulated fall snow-free freezing potential (snow-free freezing degree days, SFFDD) for the Upper Gunnison domain, derived from daily minimum temperature maps interpolated from weather station and microclimate sensor data combined with Landsat-derived estimates of the timi

Ian Breckheimer2023
Dataset

Snow-free Freezing Degree-days Annual Timeseries

These are maps of annual accumulated freezing potential (freezing degree days, FDD) for the Upper Gunnison domain, derived from daily minimum temperature maps interpolated from weather station and microclimate sensor data. The original daily maps are also available. Freezing degree-days were accumul

Ian Breckheimer2023
Dataset

Air Temperature Growing Degree-days Early Season Timeseries

These are maps of annual accumulated spring snow-free growing potential (snow-free growing degree days, SFGDD) for the Upper Gunnison domain, derived from daily maximum air temperature maps interpolated from weather station and microclimate sensor data combined with Landsat-derived estimates of the

Ian Breckheimer2023
Dataset

Air Temperature Freezing Degree-days Early Season Timeseries

These are maps of annual accumulated spring snow-free freezing potential (snow-free freezing degree days, SFFDD) for the Upper Gunnison domain, derived from daily minimum temperature maps interpolated from weather station and microclimate sensor data combined with Landsat-derived estimates of the ti

Ian Breckheimer2023
Student Paper

Effects of high temperature and early snowmelt on floral morphology and volatile organic compounds in <i> Ipomopsis aggregata </i>

Climate change is causing warmer temperatures and earlier snowmelt throughout the mountains of Western North America. This study was designed to investigate how these two factors of temperature and snowmelt date influence floral traits, using Ipomopsis aggregata as a model species. While phenologica

Hopp D.2021
Article

Effect of elevation, season and accelerated snowmelt on biogeochemical processes during isolated conifer needle litter decomposition

Increased drought and temperatures associated with climate change have implications for ecosystem stress with risk for enhanced carbon release in sensitive biomes. Litter decomposition is a key component of biogeochemical cycling in terrestrial ecosystems, but questions remain regarding the local re

Leonard L. T., Brodie E. L., Williams K. H.2021PeerJDOI: 10.7717/peerj.11926Cited 3 times
Article

Snow melt timing acts independently and in conjunction with temperature accumulation to drive subalpine plant phenology

AbstractOrganisms use environmental cues to align their phenology—the timing of life events—with sets of abiotic and biotic conditions that favor the successful completion of their life cycle. Climate change has altered the environmental cues organisms use to track climate, leading to shifts in phen

Jerome D., Petry W. K., Mooney K. A.2021Global Change BiologyDOI: 10.1111/gcb.15803Cited 35 times
Article

Hematite beads from the Frost Clovis site, Logan County, Colorado

In the early 1890s, Logan County, Colorado farmer John Frost was digging a lateral line from an irrigation ditch to his field when he encountered probable human bones. Associated with these skeletal remains were three large Clovis chipped stone preforms or projectile points, and at minimum five hema

Asher Brendon P., Hofman Jack L., Holen Steven R.2020Plains AnthropologistDOI: 10.1080/00320447.2020.1791783Cited 6 times
Thesis

Snow Depth Distribution Patterns and Consistency from Airborne Lidar Time Series

Snow provides fresh meltwater to over a billion people worldwide. Snow dominated watersheds drive western US water supply and are increasingly important as demand depletes reservoir and groundwater recharge capabilities. This motivates our inter- and intra-annual investigation of snow distribution p

Mason Megan2020DOI: 10.18122/td/1731/boisestateCited 1 times