Hi, I'm an error. x

Claire Beveridge

University of Washington | Graduate Student

Subject Areas: Hydrology, Civil Engineering

 Recent Activity

ABSTRACT:

Air temperature, ground temperature and relative humidity data was collected in a longitudinal transect of the Nooksack watershed at varying elevations from 500 - 1800 m above sea level. Data was collected by anchoring sensors from trees above winter snow levels and shaded from direct solar radiation. Paired sensors were also buried 3 cm under ground near each air temperature sensor to determine snow absence or presence. Selected sites included relative humidity sensors to indicate whether precipitation was occuring. Data was collected every 3-4 hours from May 2015 to Sept 2018 (with ongoing collection). Code for processing daily mean, minimum, maximum, and rates of temperature changes with elevation is available on Github (https://doi.org/10.5281/zenodo.3239539). The sensor download and intermediate data products are available on HydroShare with publicly accessible visualization available from the Nooksack Observatory at data.cuahsi.org.

Show More

ABSTRACT:

Shapefile of Elwha River Watershed, Washington State, USA.
Coordinate system: WGS84

Show More

ABSTRACT:

DHSVM input/output files that provide driving hydrology for Landlab sediment model. DHSVM run at 30m resolution using Livneh, 2003 meteorological forcing data.

Current model files are for time period Nov 4, 2006- Dec 31, 2006, which encompasses hydrograph for one large storm event. This is for proof-of-concept Landlab sediment supply and routing model.

Show More

ABSTRACT:

This a download of climate data and vizualization processing results from the Daily_MET_1950_2013 (Livneh et al., 2015); Livneh B., T.J. Bohn, D.S. Pierce, F. Munoz-Ariola, B. Nijssen, R. Vose, D. Cayan, and L.D. Brekke, 2015: A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and southern Canada 1950-2013, Nature Scientific Data, 5:150042, doi:10.1038/sdata.2015.42.

Show More

ABSTRACT:

This a download of climate data and vizualization processing results from the Daily_MET_1915_2011 (Livneh et al. 2013); Livneh B., E.A. Rosenberg, C. Lin, B. Nijssen, V. Mishra, K.M. Andreadis, E.P. Maurer, and D.P. Lettenmaier, 2013: A Long-Term Hydrologically Based Dataset of Land Surface Fluxes and States for the Conterminous United States: Update and Extensions, Journal of Climate, 26, 9384–9392.

Show More

 Contact

Resources
All 0
Collection 0
Composite Resource 0
Generic 0
Geographic Feature 0
Geographic Raster 0
HIS Referenced Time Series 0
Model Instance 0
Model Program 0
MODFLOW Model Instance Resource 0
Multidimensional (NetCDF) 0
Script Resource 0
SWAT Model Instance 0
Time Series 0
Web App 0
Generic Generic

ABSTRACT:

Testing
Testing

[Modified in JupyterHub on 2017-02-10 01:56:05.915793]
This is a demo of the HydroShare Landlab Watershed Dynamics Notebook

Show More
Generic Generic
Watershed Dynamics Model: Climate Data Pypeline
Created: Feb. 28, 2017, 7:38 p.m.
Authors: Christina Bandaragoda

ABSTRACT:

Watershed Dynamics Model Demo #1

Show More
Generic Generic
Elwha Observatory- Public
Created: March 19, 2017, 3:16 p.m.
Authors: Claire Beveridge · Christina Bandaragoda · Jimmy Phuong

ABSTRACT:

This is an observatory of climate data for the Elwha Watershed of Washington State. This script downloads forcing data (see sources below) and plots the data. The script also plots observed SNOTEL data, observed streamflow data, and modeled streamflow data.

observatory_gridded_meteorology.py and observatory_localimport_timeseries.py must be uploaded the the user's local utilities folder.

Sources of climate data include:

Livneh B., E.A. Rosenberg, C. Lin, B. Nijssen, V. Mishra, K.M. Andreadis, E.P. Maurer, and D.P. Lettenmaier, 2013: A Long-Term Hydrologically Based Dataset of Land Surface Fluxes and States for the Conterminous United States: Update and Extensions, Journal of Climate, 26, 9384–9392.

Livneh B., T.J. Bohn, D.S. Pierce, F. Munoz-Ariola, B. Nijssen, R. Vose, D. Cayan, and L.D. Brekke, 2015: A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and southern Canada 1950-2013, Nature Scientific Data, 5:150042, doi:10.1038/sdata.2015.42.

Show More
Generic Generic
Elwha Watershed Climate Grid Point List
Created: March 20, 2017, 6:23 p.m.
Authors: Claire Beveridge · Christina Bandaragoda

ABSTRACT:

Table of climate centroids for gridded 1/16 degree forcing datasets used in Elwha watershed models.

Show More
Generic Generic

ABSTRACT:

This a download of climate data and vizualization processing results from the Daily_MET_1915_2011 (Livneh et al. 2013); Livneh B., E.A. Rosenberg, C. Lin, B. Nijssen, V. Mishra, K.M. Andreadis, E.P. Maurer, and D.P. Lettenmaier, 2013: A Long-Term Hydrologically Based Dataset of Land Surface Fluxes and States for the Conterminous United States: Update and Extensions, Journal of Climate, 26, 9384–9392.

Show More
Generic Generic

ABSTRACT:

This a download of climate data and vizualization processing results from the Daily_MET_1950_2013 (Livneh et al., 2015); Livneh B., T.J. Bohn, D.S. Pierce, F. Munoz-Ariola, B. Nijssen, R. Vose, D. Cayan, and L.D. Brekke, 2015: A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and southern Canada 1950-2013, Nature Scientific Data, 5:150042, doi:10.1038/sdata.2015.42.

Show More
Generic Generic
Elwha GIS and DHSVM Files
Created: June 8, 2017, 5:37 p.m.
Authors: Claire Beveridge · Christina Bandaragoda

ABSTRACT:

DHSVM input/output files that provide driving hydrology for Landlab sediment model. DHSVM run at 30m resolution using Livneh, 2003 meteorological forcing data.

Current model files are for time period Nov 4, 2006- Dec 31, 2006, which encompasses hydrograph for one large storm event. This is for proof-of-concept Landlab sediment supply and routing model.

Show More
Geographic Feature (ESRI Shapefiles) Geographic Feature (ESRI Shapefiles)
Elwha River Watershed
Created: Aug. 29, 2017, 12:04 a.m.
Authors: Claire Beveridge

ABSTRACT:

Shapefile of Elwha River Watershed, Washington State, USA.
Coordinate system: WGS84

Show More
Composite Resource Composite Resource

ABSTRACT:

Air temperature, ground temperature and relative humidity data was collected in a longitudinal transect of the Nooksack watershed at varying elevations from 500 - 1800 m above sea level. Data was collected by anchoring sensors from trees above winter snow levels and shaded from direct solar radiation. Paired sensors were also buried 3 cm under ground near each air temperature sensor to determine snow absence or presence. Selected sites included relative humidity sensors to indicate whether precipitation was occuring. Data was collected every 3-4 hours from May 2015 to Sept 2018 (with ongoing collection). Code for processing daily mean, minimum, maximum, and rates of temperature changes with elevation is available on Github (https://doi.org/10.5281/zenodo.3239539). The sensor download and intermediate data products are available on HydroShare with publicly accessible visualization available from the Nooksack Observatory at data.cuahsi.org.

Show More