Restricted Research - Award List, Note/Discussion Page

Fiscal Year: 2018

1349  The University of Texas at Arlington  (74854)

Principal Investigator: Dong-Jun Seo

Total Amount of Contract, Award, or Gift (Annual before 2011): $ 281,790

Exceeds $250,000 (Is it flagged?): Yes

Start and End Dates: 8/1/17 - 7/31/19

Restricted Research: YES

Academic Discipline: Department of Civil Engineering

Department, Center, School, or Institute: College of Engineering

Title of Contract, Award, or Gift: Implementation of Nested Hyper-Resolution Modeling with Data Assimilation for the National Water Model

Name of Granting or Contracting Agency/Entity: National Oceanic and Atmospheric Administration (NOAA)
CFDA Link: DOC
11.459

Program Title: N/A
CFDA Linked: Weather and Air Quality Research

Note:

With the development of the National Water Model (NWM), the NWS has made a step-change advance in operational water forecasting by enabling high-resolution hydrologic modeling across the Nation. As a part of the NWM initiative, the NWS has been mandated to provide forecasts at even finer spatiotemporal resolutions when and where such information is demanded. In this project, we propose to implement the NWM at a street-resolving resolution over a nested domain as part of the NWM operation. The hyper-resolution NWM, or the Hyper- Resolution Model (HRM) in short, can be nested anywhere within the current NWM domain. As with the NWM, we will use WRF-Hydro as the core model but at significantly higher resolutions with scale-commensurate model parameters, and prescribe the initial and boundary conditions by assimilating the NWM states and all available observations within the nested domain. For data assimilation (DA), we will use the smoother formulation of ensemble Kalman filter via Open DA. Building on the NWS’s prior investment, we will use the Community Hydrologic Prediction System (CHPS) to control the model runs and to display model output. The Open DA framework has already been linked to the CHPS infrastructure.  The operation of the HRM will be demonstrated for a 144.6 km2 domain within the Cities of Arlington and Grand Prairie in the heart of the Dallas-Fort Worth Metroplex where an array of high-resolution observations are available: hyper-resolution LiDAR-based digital elevation model, very high-resolution quantitative precipitation information, water level observations from the ALERT gauges and UTA-deployed sensors, GIS-based land cover information for the built environment, and in-situ soil moisture observations.  An important aspect of our project is that the HRM will be operable on local computers to provide the forecasters, whether at the OWP or other offices, with the operational flexibility necessary to produce forecasts on demand when and where the conditions warrant. The proposed implementation path will also permit the rapid deployment of the HRM around the country and accelerate the quantitative use of the NWM output in operational water forecasting.  The proposed project is a collaboration among UTA, Deltares USA and OWP, and synergistically leverages the collective resources, experience and expertise available in each organization with a clear path to operationalization at the OWP and, if desired, other offices. The OWP collaborators are federal employees and will contribute to the project at no additional cost to NOAA.

Discussion: No discussion notes

 

Close Window