657 results — topic: Weather & Atmospheric Science

Dataset

Air Temperature 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

Maximum 2m Air Temperature Monthly Timeseries

These are maps of monthly averages of daily maximum air temperature for the Upper Gunnison domain measured in degrees C. Estimates were derived from weather station and microclimate sensor data using Bayesian regression-kriging, incorporating topographic and vegetation structure covariates. These da

Ian Breckheimer2023
Dataset

Minimum 2m Air Temperature Monthly Timeseries

These are maps of monthly averages of daily minimum air temperature for the Upper Gunnison domain measured in degrees C. Estimates were derived from weather station and microclimate sensor data using Bayesian regression-kriging, incorporating topographic and vegetation structure covariates. These da

Ian Breckheimer2023
Dataset

Average 2m Air Temperature Monthly Timeseries

These are maps of monthly averages of daily average air temperature for the Upper Gunnison domain measured in degrees C. Estimates were derived from weather station and microclimate sensor data using Bayesian regression-kriging, incorporating topographic and vegetation structure covariates. These da

Ian Breckheimer2023
Dataset

Minimum 2m Air Temperature Daily Timeseries

These are maps of daily minimum air temperature for the Upper Gunnison domain measured in degrees C. Estimates were derived from weather station and microclimate sensor data using Bayesian regression-kriging, incorporating topographic and vegetation structure covariates. To reduce storage space, ori

Ian Breckheimer2023
Dataset

Maximum 2m Air Temperature Daily Timeseries

These are maps of daily maximum air temperature for the Upper Gunnison domain measured in degrees C. Estimates were derived from weather station and microclimate sensor data using Bayesian regression-kriging, incorporating topographic and vegetation structure covariates. To reduce storage space, ori

Ian Breckheimer2023
Dataset

Specific conductivity, pH, dissolved oxygen, water temperature and alkalinity in-situ data; Slate River floodplain, Crested Butte, CO; March 2021-October 2021.

This data package includes a time-series of field measurements from March to October 2021 in groundwater and surface water from the Slate River floodplain in Crested Butte, CO, a focus field site for the SLAC Floodplain Hydro-Biogeochemistry SFA. The data was generated as part of the work targeting

Pierce S, Bargar J2023DOI: 10.15485/1829500Cited 1 times
Dataset

Groundwater level elevation and temperature data, Oct 2018-Dec 2021, Slate River Floodplain, Crested Butte, CO.

This data package includes a time series of water level and temperature measurements from October 2018 to December 2021 in groundwater and surface water from the Slate River floodplain outside Crested Butte, CO, a focus field site for the SLAC Floodplain Hydro-Biogeochemistry SFA. The data was gener

Perzan Z, Pierce S, Boye K2023DOI: 10.15485/1908248Cited 1 times
Dataset

Cation Data for the East River Watershed, Colorado (2014-2021)

This data package contains mean values for cation concentration for water samples taken from the East River Watershed in Colorado. Inductively coupled plasma mass spectrometry (ICP-MS) has been used to measure the concentrations of 37 elements of interest simultaneously for the East River Watershed,

Dong W, Beutler C, Brown W2023DOI: 10.15485/1668055Cited 4 times
Dataset

Anion Data for the East River Watershed, Colorado (2014-2022)

The anion data for the East River Watershed, Colorado, consists of fluoride, chloride, sulfate, nitrate, and phosphate concentrations collected at multiple, long-term monitoring sites that include stream, groundwater, and spring sampling locations. These locations represent important and/or unique e

Williams K, Beutler C, Brown W2023DOI: 10.15485/1668054Cited 5 times
Dataset

Stable Water Isotope Data for the East River Watershed, Colorado (2014-2021)

The stable water isotope data for the East River Watershed, Colorado, consists of delta2H (hydrogen) and delta18O (oxygen) values from samples collected at multiple, long-term monitoring sites including streams, groundwater wells, springs, and a precipitation collector used to establish a local mete

Williams K, Beutler C, Bill M2023DOI: 10.15485/1668053Cited 2 times
Dataset

Plant phenology, aphid colony growth, and honeydew deposition data

Changing phenological cues can lead to trophic mismatch for plants and herbivores, and this often shifts herbivore feeding to plant stages of lower quality. Temperature can also mediate how herbivores respond to plant quality, leading to temperature-by-phenology interactions. We examined how both te

Mooney, Emily2023DOI: 10.5061/dryad.1ns1rn8xgCited 1 times
Dataset

Data from: Linking microenvironment modification to species interactions and demography in an alpine plant community

Individual plants can modify the microenvironment within their spatial neighborhood. However, the consequences of microenvironment modification for demography and species interactions remain unclear at the community scale. In a study of co-occurring alpine plants, we (1) determined the extent of spe

Ray, Courtenay, Kapás, Rozália E, Opedal, Øystein H2023DOI: 10.6078/D1342BCited 1 times
Dataset

Data from: Two-year bee, or not two-year bee? How voltinism is affected by temperature and season length in a high-elevation solitary bee

Organisms must often make developmental decisions without complete information about future conditions. This uncertainty for example, about the duration of conditions favorable for growth can favor bet-hedging strategies. Here, we investigated the causes of life-cycle variation in Osmia iridis, a be

Forrest, Jessica R. K, Cross, Regan, CaraDonna, Paul J2023DOI: 10.5061/dryad.r2dm56sCited 1 times
Dataset

Temperature, floral density, and Osmia pollen usage data from seven study sites around the Rocky Mountain Biological Laboratory, Colorado: 2013-2022.

Data were collected as part of a study of population dynamics of solitary, cavity-nesting Hymenoptera. Nesting structures ("trap-nests") were established at five study sites along an elevational gradient around the Rocky Mountain Biological Laboratory in 2013. Two additional study sites were added i

Jessica Forrest, Lydia H. Wong, Jessica R. K. Forrest2023DOI: 10.6073/pasta/2992dc076d1c4568afbaa68dcbbaf7dc
Article

Significant stream chemistry response to temperature variations in a high-elevation mountain watershed

Abstract High-elevation mountain regions, central to global freshwater supply, are experiencing more rapid warming than low-elevation locations. High-elevation streams are therefore potentially critical indicators for earth system and water chemistry response to warming. Here we present concerted hy

Zhi W., Williams K. H., Carroll R. W. H.2020Communications Earth & Environment. DOI: 10.1038/s43247-020-00039-wDOI: 10.1038/s43247-020-00039-wCited 36 times
Article

Automated Cloud Based Long Short-Term Memory Neural Network Based SWE Prediction

Snow derived water is a critical component of a large part of the US water supply. Measurements of the Snow Water Equivalent (SWE) and associated predictions of peak SWE and snowmelt onset are essential inputs for water management efforts. This paper aims to develop a data-driven approach for estima

Meyal A. Y., Versteeg R., Alper E.2020Frontiers in WaterDOI: 10.3389/frwa.2020.574917Cited 40 times
Article

Low predictability of energy balance traits and leaf temperature metrics in desert, montane and alpine plant communities

Abstract Leaf energy balance may influence plant performance and community composition. While biophysical theory can link leaf energy balance to many traits and environment variables, predicting leaf temperature and key driver traits with incomplete parameterizations remains challenging. Predicting

Blonder B., Escobar S., Kapas R. E.2020Functional EcologyDOI: 10.1111/1365-2435.13643Cited 43 times
Article

Stable isotope compositions of precipitation from Gunnison, Colorado 2007–2016: implications for the climatology of a high-elevation valley

Stable isotope ratios of precipitation are useful tracers of climatic and hydrological processes. To better understand the isotope hydro-climatology of a high-elevation Rocky Mountain valley we collected meteoric water samples from Gunnison, Colorado, USA and determined stable isotope values for 239

Marchetti David W., Marchetti Suzanne B.2019HeliyonDOI: 10.1016/j.heliyon.2019.e02120Cited 22 times
Document

Notice of Hearing of Radiation and Hazardous Wastes Control Division Colorado Department of Health on the Homestake Pitch Project Uranium Mill and Tailings Disposal Site

Albert J. Hazle. ?