375 results — topic: Snow & Ice

Dataset

Grand Mesa 2017-02-01 snow depth estimate

Elevation difference (snow depth estimate for exposed ground surfaces) between co-registered WorldView-3 optical stereo DSM products from 2016-09-25 (snow-off) and 2017-02-01 (snow-on). These are preliminary products from the Stereo2SWE workflow, used to derive snow depth estimates from time series

Shean, David2019DOI: 10.5281/zenodo.3381652
Dataset

snowmelt

Data on first day of bare ground (snowmelt date, shown as day of year; 1 Jan = 1) from a long-term snow monitoring plot monitored by billy barr, near the mid-elevation study population described in the paper (The Rocky Mountain Biological Laboratory). snowmeltT1 refers to the date of melt in year t+

Iler, Amy2019DOI: 10.5061/dryad.863c8sk/2
Dataset

Data from: Early snowmelt projected to cause population decline in a subalpine plant

How climate change influences the dynamics of plant populations is not well understood, as few plant studies have measured responses of vital rates to climatic variables and modeled the impact on population growth. I used 25 years of demographic data to analyze how survival, growth, and fecundity re

Campbell, Diane R.2019DOI: 10.5061/dryad.3mp7f6fCited 1 times
Dataset

Data from: Climate change shifts natural selection and the adaptive potential of the perennial forb Boechera stricta in the Rocky Mountains

Heritable genetic variation is necessary for populations to evolve in response to anthropogenic climate change. However, antagonistic genetic correlations among traits may constrain the rate of adaptation, even if substantial genetic variation exists. We examine potential genetic responses to select

Bemmels, Jordan B., Anderson, Jill Theresa2019DOI: 10.5061/dryad.0p67v8gCited 1 times
Dataset

Data from: Reproductive losses due to climate change-induced earlier flowering are not the primary threat to plant population viability in a perennial herb

1. Despite a global footprint of shifts in flowering phenology in response to climate change, the reproductive consequences of these shifts are poorly understood. Furthermore, it is unknown whether altered flowering times affect plant population viability. 2. We examine whether climate change-induce

Iler, Amy M., Compagnoni, Aldo, Inouye, David W.2019DOI: 10.5061/dryad.863c8skCited 1 times
Dataset

Data from: The individual and combined effects of snowmelt timing and frost exposure on the reproductive success of montane forbs

1. Changes from historic weather patterns have affected the phenology of many organisms worldwide. Altered phenology can introduce organisms to novel abiotic conditions during growth and modify species interactions, both of which could drive changes in reproduction. 2. We explored how climate change

Pardee, Gabriella L., Jensen, Isaac O., Inouye, David W.2019DOI: 10.5061/dryad.kd1r166Cited 1 times
Dataset

Discharge data collected within the East River for the Lawrence Berkeley National Laboratory Watershed Function Science Focus Area (water years 2015-2018)

Discharge data collected at the East River in the Upper Colorado River Basin for the Lawrence Berkeley National Laboratory's Watershed Function Scientific Focus Area. Files contain instantaneous observed discharge data, corrected 10 min and mean daily discharge. Several sites also contain temperatur

Rosemary Carroll, Kenneth Williams2019DOI: 10.21952/WTR/1495380Cited 6 times
Dataset

Discharge data collected within the East River for the Lawrence Berkeley National Laboratory Watershed Function Science Focus Area (water years 2015-2018)

Discharge data collected at the East River in the Upper Colorado River Basin for the Lawrence Berkeley National Laboratory's Watershed Function Scientific Focus Area. Files contain instantaneous observed discharge data, corrected 10 min and mean daily discharge. Several sites also contain temperatur

Rosemary Carroll, Kenneth Williams2019DOI: 10.21952/WTR/1495380Cited 6 times
Dataset

Discharge data collected within the East River for the Lawrence Berkeley National Laboratory Watershed Function Science Focus Area (water years 2015-2018)

Discharge data collected at the East River in the Upper Colorado River Basin for the Lawrence Berkeley National Laboratory's Watershed Function Scientific Focus Area. Files contain instantaneous observed discharge data, corrected 10 min and mean daily discharge. Several sites also contain temperatur

Rosemary Carroll, Kenneth Williams2019DOI: 10.21952/WTR/1495380Cited 6 times
Dataset

The East River, Colorado, Watershed: A Mountainous Community Testbed for Improving Predictive Understanding of Multiscale Hydrological-Biogeochemical Dynamics: Dataset

This dataset contains snow water, precipitation, and discharge data collected from the East River watershed. This provides insight as to how the watershed works as a system and responds to hydrological perturbations.

Susan Hubbard, Boris Faybishenko, Carroll Rosemary2019DOI: 10.21952/WTR/1506942
Dataset

Discharge data collected within the East River for the Lawrence Berkeley National Laboratory Watershed Function Science Focus Area (water years 2015-2018)

Discharge data collected at the East River in the Upper Colorado River Basin for the Lawrence Berkeley National Laboratory's Watershed Function Scientific Focus Area. Files contain instantaneous observed discharge data, corrected 10 min and mean daily discharge. Several sites also contain temperatur

Rosemary Carroll, Kenneth Williams2019DOI: 10.21952/WTR/1495380Cited 6 times
Dataset

The East River, Colorado, Watershed: A Mountainous Community Testbed for Improving Predictive Understanding of Multiscale Hydrological-Biogeochemical Dynamics: Dataset

This dataset contains snow water, precipitation, and discharge data collected from the East River watershed. This provides insight as to how the watershed works as a system and responds to hydrological perturbations.

Susan Hubbard, Boris Faybishenko, Carroll Rosemary2019DOI: 10.21952/WTR/1506942
Dataset

The East River, Colorado, Watershed: A Mountainous Community Testbed for Improving Predictive Understanding of Multiscale Hydrological-Biogeochemical Dynamics: Dataset

This dataset contains snow water, precipitation, and discharge data collected from the East River watershed. This provides insight as to how the watershed works as a system and responds to hydrological perturbations.

Susan Hubbard, Boris Faybishenko, Carroll Rosemary2019DOI: 10.21952/WTR/1506942
Dataset

The East River, Colorado, Watershed: A Mountainous Community Testbed for Improving Predictive Understanding of Multiscale Hydrological-Biogeochemical Dynamics: Dataset

This dataset contains snow water, precipitation, and discharge data collected from the East River watershed. This provides insight as to how the watershed works as a system and responds to hydrological perturbations.

Susan Hubbard, Boris Faybishenko, Carroll Rosemary2019DOI: 10.21952/WTR/1506942
Dataset

Discharge data collected within the East River for the Lawrence Berkeley National Laboratory Watershed Function Science Focus Area (water years 2015-2018)

Discharge data collected at the East River in the Upper Colorado River Basin for the Lawrence Berkeley National Laboratory's Watershed Function Scientific Focus Area. Files contain instantaneous observed discharge data, corrected 10 min and mean daily discharge. Several sites also contain temperatur

Rosemary Carroll, Kenneth Williams2019DOI: 10.21952/WTR/1495380Cited 6 times
Dataset

Discharge data collected within the East River for the Lawrence Berkeley National Laboratory Watershed Function Science Focus Area (water years 2015-2018)

Discharge data collected at the East River in the Upper Colorado River Basin for the Lawrence Berkeley National Laboratory's Watershed Function Scientific Focus Area. Files contain instantaneous observed discharge data, corrected 10 min and mean daily discharge. Several sites also contain temperatur

Rosemary Carroll, Kenneth Williams2019DOI: 10.21952/WTR/1495380Cited 6 times
Dataset

Grand Mesa Study Plot

Cleaned (quality checked) and continuous hourly records of snow energy and mass balance variables from Grand Mesa Study Plot (GMSP). GMSP is located in an opening in a pine forest on the northern rim of the Grand Mesa (39.050802, -108.061435) in west central Colorado at 3239 m. The site was funded b

S. McKenzie Skiles2018DOI: 10.5281/zenodo.1479859
Dataset

Iron_Soil_Moisture_Uncalibrated_2013_2017

These data are the complete data set from installation through Dec 31, 2017 for AGCI's interactive Roaring Fork Observation Network (iRON). The network consists of 9 stations in the Southern Rockies (Colorado, USA). Descriptions of soil type and site locations can be found at: www.agci.org/iron/stat

Osenga, E2018DOI: 10.5281/zenodo.1228346
Dataset

Iron_Soil_Moisture_Uncalibrated_2013_2017

These data are the complete data set from installation through Dec 31, 2017 for AGCI's interactive Roaring Fork Observation Network (iRON). The network consists of 9 stations in the Southern Rockies (Colorado, USA). Descriptions of soil type and site locations can be found at: www.agci.org/iron/stat

Osenga, E2018DOI: 10.5281/zenodo.1250549
Dataset

Iron_Soil Moisture_Calibrated_2013 To 2018

*** An error has been caught in time codes. The time codes currently read GMT-5:00. The CORRECT time code is GMT-7:00 for all datasets .*** These data are the complete data set from installation through March 15, 2018 for AGCI's interactive Roaring Fork Observation Network (iRON). The network consis

Osenga, E.C.2018DOI: 10.5281/zenodo.1250551