Civil Engineering ETDs

Publication Date

Summer 7-15-2020

Abstract

The Next Generation Radar (NEXRAD) was implemented as one of the first network-wide operational radar- estimated precipitation products in the United States in 1988. The algorithms within this system bring drastic advancements to operational flood forecasting when compared to prior radars and even rain gage systems. The objectives were; (1) to determine how radar plays a role in estimating precipitation by comparing rainfall accuracy to other sources such as calibrated radar data and gage data within Albuquerque, New Mexico and (2) to determine if distance from the radar affects estimation of rainfall. The sets of data compared were from: (1) National Oceanic and Atmospheric Administration (NOAA), (2) National Center for Environmental Information (NCEI), River Forecast Center (RFC), and (3) a bias correction method performed through ArcGIS. These data sets were evaluated based on gage data from Community Collaborative Rain, Hail and Snow Network (CoCoRaHS) and USGS (United States Geological Service).

Keywords

Radar, NEXRAD, Rain Gage, Mean Field Bias Factor, Hydology

Document Type

Thesis

Language

English

Degree Name

Civil Engineering

Level of Degree

Masters

Department Name

Civil Engineering

First Committee Member (Chair)

Dr. Mark Stone

Second Committee Member

Dr. John Stormont

Third Committee Member

Sarah Ganley

Fourth Committee Member

Patrick Chavez

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