Hi, I'm an error. x

Leah Huling

University of Texas at Austin

 Recent Activity

ABSTRACT:

A synopsis of the progress made on the term project at the time of presentation Nov, 27 2017

Show More

ABSTRACT:

As global temperatures increase, the volatility of localized weather patterns increases. Precipitation distribution becomes more severe, leading to storm and flooding events with higher frequency and greater intensity (Armel et al, 2018). In order to adapt to this change, there is a need for the scientific community to advance our methods of predicting events of high precipitation and stream flows. The National Water Model (NWM) seeks to answer this call as a great step forwards in the precision and scope in which extreme weather events in the continental United States can be predicted. This study seeks to evaluate the accuracy of the NWM through comparison to observed stream flow data in a network of stream gages in the city of Austin, TX.

Show More

ABSTRACT:

The National Water Model is a recently developed hydrologic model that simulates observed and forecast streamflow over the entire continental United States. The model uses an advanced system of inputs to produce three ranges of water models: short-range (18-hour forecast), medium-range (10 day forecast), and long-range (30 day forecast). In this study, short-range streamflow data from the NWM was compared to independent stream gage data gathered from 32 points within the city of Austin. A visual representation of the statistical comparison was prepared in ArcGIS pro.

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
Composite Resource Composite Resource

ABSTRACT:

The National Water Model is a recently developed hydrologic model that simulates observed and forecast streamflow over the entire continental United States. The model uses an advanced system of inputs to produce three ranges of water models: short-range (18-hour forecast), medium-range (10 day forecast), and long-range (30 day forecast). In this study, short-range streamflow data from the NWM was compared to independent stream gage data gathered from 32 points within the city of Austin. A visual representation of the statistical comparison was prepared in ArcGIS pro.

Show More
Composite Resource Composite Resource

ABSTRACT:

As global temperatures increase, the volatility of localized weather patterns increases. Precipitation distribution becomes more severe, leading to storm and flooding events with higher frequency and greater intensity (Armel et al, 2018). In order to adapt to this change, there is a need for the scientific community to advance our methods of predicting events of high precipitation and stream flows. The National Water Model (NWM) seeks to answer this call as a great step forwards in the precision and scope in which extreme weather events in the continental United States can be predicted. This study seeks to evaluate the accuracy of the NWM through comparison to observed stream flow data in a network of stream gages in the city of Austin, TX.

Show More
Composite Resource Composite Resource

ABSTRACT:

A synopsis of the progress made on the term project at the time of presentation Nov, 27 2017

Show More