657 results — topic: Weather & Atmospheric Science

Dataset

WRF Large-Eddy Simulation Data from Realtime Runs Used to Support UAS Operations during LAPSE-RATE

Realtime micro-scale weather simulations were performed to support UAV (Uncrewed Aerial Vehicle) flights during the ISARRA Lower Atmospheric Process Studies at Elevation a Remotely-piloted Aircraft Team Experiment (LAPSE-RATE) field deployment. These simulations were performed by driving a nested gr

Pinto, James, Jimenez, Pedro, Hertneky, Tracey2021DOI: 10.5065/83r2-0579
Dataset

Talus Surface & Subsurface Temperature Data from Oregon & Colorado, USA, 2011-2019

Between 2011 and 2019, temperature data loggers were buried in rocky talus patches (hereafter “sites”) potentially occupied by American pikas (Ochotona princeps). Data collection spanned three ecoregions: Grand Mesa, Colorado (GRME), Mt. Hood, Oregon (MTHO), and the Columbia River Gorge, Oregon (CRG

Varner, Johanna2021DOI: 10.6073/pasta/587086c613040697e0a25ba50c7379fb
Dataset

Early snowmelt and warming experiments to study plant phenology

Phenology - the timing of life events - determines how a species’ life cycle aligns with the abiotic and biotic environment, however, climate change has altered the environmental cues organisms use to track climate leading to shifts in phenology. In high latitude environments, phenological shifts in

Jerome, Diana K, Petry, Will K, Mooney, Kailen A2021DOI: 10.6073/pasta/8831719d04c94504eed6b12318ed7312
Dataset

Specific conductivity, pH, dissolved oxygen, water temperature, alkalinity and sulfide in-situ data; Slate River floodplain, Crested Butte, CO; May 2020-October 2020

This data package includes a time-series of field measurements from May to October 2020 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 th

Pierce, Samuel, Bargar, John2021DOI: 10.15485/1813302Cited 1 times
Dataset

Sea surface temperature (SST) and surface current data collected from the Mar Mostro during the around-the-world Volvo Ocean Race (VOR) from 2011-11-05 to 2012-07-12 (NCEI Accession 0130694)

Navigation, surface current, sea surface temperature, wind, and atmospheric pressure data collected by the Mar Mostro during the around-the-world Volvo Ocean Race (VOR) 2011-2012 (http://www.volvooceanrace.com/en/home.html). The Mar Mostro is a 21.5m sail-powered racing yacht that was manned by the

NCEI2021
Dataset

Oceanographic temperature profiles from the HMS CHALLENGER in the Antarctic, North Atlantic and other locations from 1873-02-15 to 1876-05-06 (NCEI Accession 0126754)

From 1872 to 1876, the HMS Challenger sailed around the world studying ocean features such as ocean temperature and chemistry, wildlife, and sounding the ocean, discovering undersea features like seamounts and ocean trenches. This expedition marked the beginning of the modern study of oceanography.

NCEI2021
Dataset

Partial pressure of carbon dioxide, sea surface salinity, temperature and barometric pressure collected from surface underway observations during the racing sailing vessel Seaexplorer (Malizia II) cruises in the Atlantic Ocean, Indian Ocean and Pacific Ocean from 2020-07-03 to 2021-01-05 (NCEI Accession 0235681)

This dataset includes surface underway data collected during the racing sailing vessel Seaexplorer (Malizia II) cruises in the Atlantic Ocean, Indian Ocean and Pacific Ocean from 2020-07-03 to 2021-01-05. These data include partial pressure of carbon dioxide in the water, sea surface salinity, sea s

NCEI2021DOI: 10.25921/3f59-1405
Dataset

Biological, chemical, and physical data from the Phytoplankton Monitoring Network from 2001-09-13 to 2013-03-07 (NCEI Accession 0117942)

The Phytoplankton Monitoring Network (PMN) is a part of the National Centers for Coastal Ocean Science (NCCOS). The PMN was created as an outreach program to connect volunteers and professional scientists in the monitoring of marine phytoplankton and harmful algal blooms (HABs). NOAA staff train vol

NCEI2021
Dataset

Long-term changes in flowering synchrony reflect climatic changes across an elevational gradient

These are the data with the accompanying R code used in the article Long-term changes in flowering synchrony reflect climatic changes across an elevational gradient , by Fisogni A, de Manincor N, Bertelsen CD, and Rafferty NE. We provide the raw data on flowering phenology, temperature and precipita

Fisogni Alessandro, de Manincor Natasha, Bertelsen C. David2021DOI: 10.5281/zenodo.5586297Cited 1 times
Dataset

Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020

The timing of snowmelt is a critical cue for the initiation of growth in mountain meadow ecosystems and can also impact the duration and magnitude of plant production. High frequency observations of species-level phenology are time consuming and require a high degree of expertise, and publicly avail

Heidi Steltzer, Amanda Henderson, Chelsea Wilmer2021DOI: 10.15485/1842910
Dataset

Surface soil temperature and water content from warming experiment located at the Rocky Mountain Biological Laboratory, Colorado, 2015 to 2019

This data package consists of soil temperature and soil water content sensor data from the warming experiment near the Rocky Mountain Biological Laboratory. Data range is from summer 2015 to summer 2019, when the warming manipulation was terminated. The location of the warming experiment is in the u

Heidi Steltzer, Amanda Henderson, Chelsea Wilmer2021DOI: 10.15485/1842908
Dataset

Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020

The timing of snowmelt in mountain systems is a main driver of vegetation phenology and production, as well as recharge of soil moisture and ground water. Decreases in maximum snowpack and warmer spring temperatures have led to a higher frequency of early snowmelt. This study combines a natural elev

Heidi Steltzer, Chelsea Wilmer, Amanda Henderson2021DOI: 10.15485/1842907
Dataset

Quality Assurance and Quality Control (QA/QC) of Meteorological Time Series Data for Billy Barr, East River, Colorado USA

A comprehensive Quality Assurance (QA) and Quality Control (QC) statistical framework consists of three major phases: Phase 1—Preliminary raw data sets exploration, including time formatting and combining datasets of different lengths and different time intervals; Phase 2—QA of the datasets, includi

Boris Faybishenko, Roelof Versteeg, Gilberto Pastorello2021DOI: 10.15485/1823516
Dataset

East River Watershed Stable Water Isotope Data in Precipitation, Snowpack and Snowmelt 2016-2020

Stable water isotopes (d18O, d2H and d-excess) are important tracers in hydrologic research to understand water partitioning between vegetation, groundwater, and runoff but are rarely applied to large watersheds with persistent snowpack and complex topopgraphy. Data were collected for the Lawrence B

Rosemary Carroll, Wendy Brown, Alexander Newman2021DOI: 10.15485/1824223Cited 1 times
Dataset

Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020

The timing of snowmelt is a critical cue for the initiation of growth in mountain meadow ecosystems and can also impact the duration and magnitude of plant production. High frequency observations of species-level phenology are time consuming and require a high degree of expertise, and publicly avail

Heidi Steltzer, Amanda Henderson, Chelsea Wilmer2021DOI: 10.15485/1842910
Thesis

Patterns of natural avalanche activity associated with new snow water equivalance and upper atmospheric wind direction and speed in the mountains surrounding Gothic, Colorado

Snowfall, temperature and wind are three factors that quickly change avalanche conditions. Ridge-top winds have been used to assess avalanche conditions with mixed success due to high variability. Few analyses have tested the effect upper atmospheric winds have on avalanche conditions. This study at

Chesley-Preston Tara Lea.2013Montana State University ScholarWorks (Montana State University)
Student Paper

Plasticity and changes in selection in response to changing precipitation regimes

Altered precipitation patterns are a major prediction of climate change models and a recent reality. Changes in climatic variables may affect the evolution of species by affecting the magnitude and direction of natural selection on various traits. Winter precipitation can affect summer-flowering pla

Powers J. M.2013
Student Paper

Effects of experimental warming on plant traits of subalpine wildflower species of Gothic, CO

Over the next century the increasing concentration of carbon dioxide (CO2) and other contributing greenhouse gases is predicted to generate an average increase in temperature 1-6˚C (Saavedra et al., 2003; Cleland et al., 2012). The proposed warming climate suggests a common myth of global warming th

Palmer B. A.2013
Article

Flowering date of taxonomic families predicts phenological sensitivity to temperature: Implications for forecasting the effects of climate change on unstudied taxa

• Premise of the study: Numerous long‐term studies in seasonal habitats have tracked interannual variation in first flowering date (FFD) in relation to climate, documenting the effect of warming on the FFD of many species. Despite these efforts, long‐term phenological observations are still lacking

Mazer S. J., Travers S. E., Cook B. I.2013American Journal of BotanyDOI: 10.3732/ajb.1200455Cited 66 times
Document

Concentrating Solar Systems

Technical report (FY03). Covers Kramer Junction, California, Mammoth Hot Springs. Topics: parabolic trough solar power, concentrating solar systems, thermal energy storage, steam Rankine cycle. Agencies: National Renewable Energy Laboratory, NREL, Sandia National Laboratories. Cites 13 external work