657 results — topic: Weather & Atmospheric Science

Dataset

Snowpack Proportional Reduction in Growing Degree Days (2002-2021)

This is a map of the influence of snow on the energy available for plant growth (growing degree days, GDD) 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 o

Ian Breckheimer2023
Dataset

Snowpack Proportional Reduction in Late Season Freezing Degree Days (2002-2021)

This is a map of the influence of fall snow on late season 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 t

Ian Breckheimer2023
Dataset

Snowpack Proportional Reduction in Early Season Freezing Degree Days (2002-2021)

This is a map of the influence of spring snow on early season 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 o

Ian Breckheimer2023
Dataset

Snowpack Proportional Reduction in Freezing Degree Days (2002-2021)

This is a map of the influence of snow on growing season 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

Ian Breckheimer2023
Dataset

Snow-free Growing Degree-days 0-60 Days Post Snow Standard Deviation (2002-2021)

This is a map of temporal variability in 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

Ian Breckheimer2023
Dataset

Snow-free Growing Degree-days 0-60 Days Post Snow Mean (2002-2021)

This is a map of 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 seasonal

Ian Breckheimer2023
Dataset

Snow-free Growing Degree-days Late Season Standard Deviation (2002-2021)

This is a map of temporal variability in 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 est

Ian Breckheimer2023
Dataset

Snow-free Growing Degree-days Late Season Mean (2002-2021)

This is a map 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 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 Growing Degree-days Early Season Mean (2002-2021)

This is a map of 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 timing o

Ian Breckheimer2023
Dataset

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

This is a map of temporal variability in 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 estimate

Ian Breckheimer2023
Dataset

Snow-free Freezing Degree-days 0-60 Days Post Snow 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 0-60 Days Post Snow 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-days Annual Mean (2002-2021)

This is a map of 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 of seaso

Ian Breckheimer2023
Dataset

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

This is a map of temporal variability in 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 estim

Ian Breckheimer2023
Article

Downscaled hyper-resolution (400 m) gridded datasets of daily precipitation and temperature (2008-2019) for East Taylor subbasin (western United States)

Abstract. High resolution gridded datasets of meteorological variables are needed in order to resolve fine-scale hydrological gradients in complex mountainous terrain. Across the United States, the highest available spatial resolution of gridded datasets of daily meteorological records is approximat

Mital U., Dwivedi D., Brown J. B.2022Earth System Science Data DiscussionsDOI: 10.5194/essd-2022-67Cited 4 times
Article

Three-Dimensional Surface Downwelling Longwave Radiation Clear-Sky Effects in the Upper Colorado River Basin

Abstract In complex terrain, non‐parallel surfaces receive emitted radiation from adjacent surfaces. Qualitatively, where surface skin temperatures and lower tropospheric temperature and humidity are not uniform, the downwelling longwave radiation (DLR) will be determined not just by radiation from

Feldman D. R., Worden M., Falco N.2022Geophysical Research LettersDOI: 10.1029/2021GL094605Cited 17 times
Article

A distributed temperature profiling system for vertically and laterally dense acquisition of soil and snow temperature

Abstract. Measuring soil and snow temperature with high vertical and lateral resolution is critical for advancing the predictive understanding of thermal and hydro-biogeochemical processes that govern the behavior of environmental systems. Vertically resolved soil temperature measurements enable the

Dafflon B., Wielandt S., Lamb J.2022The CryosphereDOI: 10.5194/tc-16-719-2022Cited 39 times
Article

A <scp>community‐supported</scp> weather and soil moisture monitoring database of the Roaring Fork catchment of the Colorado River Headwaters

AbstractLocal community interest in better understanding regional climate change impacts has motivated the establishment of a long‐term soil moisture and weather observation network in the Roaring Fork catchment of the Colorado River Headwaters. This catchment‐wide suite of 10 stations, installed be

Osenga Elise C., Vano Julie A., Arnott James C.2021Hydrological ProcessesDOI: 10.1002/hyp.14081Cited 24 times
Document

Plasma gasification: Clean renewable fuel through vaporization of waste

5/9/12 Plasma gasification: Clean renewable fuel through vaporization of waste ‑ Waste Mangagement World Subscribe: eNewsletter Magazine Advanced Search Home Collection/Transport Recycling Landfill Biological Treatment Waste­to­Energy Markets & Policy Opinion Products Buyers Guide Welcome to Waste M