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AGU 2018 Poster: Building Web Applications to Support the Execution of U.S. National Water Model at Watershed Scales


Authors: Zhiyu (Drew) Li
Owners: Zhiyu (Drew) Li
Resource type:Composite Resource
Created:Dec 07, 2018 at 3:27 p.m.
Last updated: Dec 11, 2018 at 7:23 p.m. by Zhiyu (Drew) Li

Abstract

The US National Water Model (NWM) is a mesoscale hydrologic model that provides streamflow forecasts and other valuable hydrologic information for the continental United States. Since its release at the National Water Center (NWC) in 2016, the NWM has garnered broad attention and great interest across the hydrology science community. Several projects are underway with the goal of delivering this advanced modeling technique and its data to researchers and end users in the community.
As one of the flagship projects, the CUAHSI HydroShare project is working toward providing a complete solution for storing, managing and sharing NWM data. So far, it has set up the largest open-access data archive for the NWM outputs and has developed several different open-source tools and web applications assisting users with data access.
However, there is a growing demand in the hydrologic sciences community for the capability to run a local instance of NWM at regional watersheds to support research applications such as cross-model comparison, historical data analysis and etc.
In this paper, we present ongoing work to develop web applications on top of HydroShare for collecting NWM input data to support model execution at smaller scale watersheds.

Subject Keywords

subset,WRFHydro,watershed,2018,NWM,AGU

How to cite

Li, Z. (. (2018). AGU 2018 Poster: Building Web Applications to Support the Execution of U.S. National Water Model at Watershed Scales, HydroShare, http://www.hydroshare.org/resource/68735bcd763b416085f5d8a4497c99a9

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
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  • Sharable Resource  Shareable

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Authors

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Name Organization Address Phone Author Identifiers
Zhiyu (Drew) Li Brigham Young University

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