Hi, I'm an error. x

Nicoleta Cristea

University of Washington | Research Associate

Subject Areas: Hydrology, snow hydrology, geospatial datasets

 Recent Activity

ABSTRACT:

Do water borehole failures, in Uganda, correlate with geographic details, population, or political reasons? Is there a trend based on which orgnization oversaw the installation or raised the capital? Can we create an ML model to determine if correlations exist?

Show More

ABSTRACT:

HydroShare data sharing instructions for Waterhackweek presenters.

Show More

ABSTRACT:

A study of landslide probability in Skagit Basin as a collaboration (MOA) between University of Washington and Seattle City Light (SCL). The project's objective is to better understand landslides in the watersheds containing the electrical transmission lines and facilities of SCL's Skagit Hydroelectric Project. A recently completed landslide model (Strauch et al. 2018) will be run using subsurface flow derived from a basin calibrated hydrologic model (Distributed Hydrology Soil and Vegetation Model - DHSVM) at 150-m grid resolution. The modeling will estimate contemporary and future probability of landslide initiation and create landslide hazard maps at a 30-m resolution. Future hydrology will be generated from running DHSVM with future climatology from two different Global Climate Models (GCMs) with two different representative concentration pathways (RCPs) emission scenarios for two future time periods. The analysis will also evaluate the sensitivity of the landslide model to subsurface flow and reduced cohesion simulating a fire.

Show More

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:

This is a subsetted WRF model output for the Tuolumne watershed in the Sierra Nevada Mountains, CA. WRF was run at NCAR by Mimi Hughes using the Morrison microphysics scheme and NARR boundary conditions.

Show More

 Contact

Mobile 2063560679
Mobile 2063560679
Email (Log in to send email)
Website http://nchydro.weebly.com/
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
Collection Resource Collection Resource
Freshwaterhack of UW Geohackweek
Created: Oct. 18, 2016, 7:14 p.m.
Authors: Christina Bandaragoda

ABSTRACT:

Geohackweek is a 5-day workshop (November 14-18, 2016) held at the University of Washington eScience Institute. Participants came to the program with experience with Python programming and analysis of geospatial data (e.g. remote sensing analysis, vector mapping, environmental modeling, etc,) and learn more about open source technologies used to analyze geospatial datasets. The Freshwaterhack includes a subset of the geohack projects that are related to hydrology, hydrologic modeling, and water resources in order to support open source tool development and data sharing and catalyze water research that can be translated to national and global scales. The Freshwaterhack is facilitated by a collaborative network of Freshwater Science and Engineering coordinated by the Mountain to Sea Strategic Research Initiative, supported by UW College of Engineering, UW College of the Environment, and UW Tacoma.

Visit the Github respoitory at https://github.com/geohackweek/geohackweek.github.io for more information.

Show More
Collection Resource Collection Resource
Freshwaterhack project: Comparing spatial datasets
Created: Oct. 21, 2016, 4:57 p.m.
Authors: Nicoleta Cristea

ABSTRACT:

In this project we propose to compare modeled and observed spatial fields of snow water equivalent over the Tuolumne watershed during UW Geohack week November 14-18 2016. Will update November 14.

Show More
Generic Generic

ABSTRACT:

These are sample datasets for the Freshwaterhack project "Comparing modeled and LiDAR-derived snow water equivalent spatial fields". Please see details in the Word document.

Show More
Generic Generic
WRF Dataset
Created: Oct. 25, 2016, 8:10 p.m.
Authors: Mimi Hughes · Nicoleta Cristea

ABSTRACT:

This is a subsetted WRF model output for the Tuolumne watershed in the Sierra Nevada Mountains, CA. WRF was run at NCAR by Mimi Hughes using the Morrison microphysics scheme and NARR boundary conditions.

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
Composite Resource Composite Resource

ABSTRACT:

A study of landslide probability in Skagit Basin as a collaboration (MOA) between University of Washington and Seattle City Light (SCL). The project's objective is to better understand landslides in the watersheds containing the electrical transmission lines and facilities of SCL's Skagit Hydroelectric Project. A recently completed landslide model (Strauch et al. 2018) will be run using subsurface flow derived from a basin calibrated hydrologic model (Distributed Hydrology Soil and Vegetation Model - DHSVM) at 150-m grid resolution. The modeling will estimate contemporary and future probability of landslide initiation and create landslide hazard maps at a 30-m resolution. Future hydrology will be generated from running DHSVM with future climatology from two different Global Climate Models (GCMs) with two different representative concentration pathways (RCPs) emission scenarios for two future time periods. The analysis will also evaluate the sensitivity of the landslide model to subsurface flow and reduced cohesion simulating a fire.

Show More
Composite Resource Composite Resource
Waterhackweek Instructor Info
Created: March 15, 2019, 5:56 p.m.
Authors: Anthony Michael Castronova

ABSTRACT:

HydroShare data sharing instructions for Waterhackweek presenters.

Show More
Composite Resource Composite Resource
Machine Learning Uganda Borehole Failure
Created: March 27, 2019, 11:15 p.m.
Authors: Shay Strong

ABSTRACT:

Do water borehole failures, in Uganda, correlate with geographic details, population, or political reasons? Is there a trend based on which orgnization oversaw the installation or raised the capital? Can we create an ML model to determine if correlations exist?

Show More