ABSTRACT:

The U.S. National Water Model (NWM) provides continental-scale hydrological forecasts, but its complexity makes deployment and customization on researchers' computing resources challenging for local and regional studies. The Next Generation Water Resources Modeling Framework (NextGen) enhances model flexibility and interoperability, yet deploying it independently remains demanding. To address this, we developed the NextGen In A Box (NGIAB) to provide a containerized solution for simplified NextGen deployment on local machines, high-performance computing (HPC) clusters, and cloud environments. NGIAB leverages Docker and Singularity containers, pre-configured with core components expected in forthcoming NWM version 4.0. This integrates input datasets, forcing engines, and necessary libraries, enabling seamless execution. Developed by CIROH and Lynker, NGIAB’s cyberinfrastructure features cloud-based data access, a robust CI/CD pipeline, and streamlined Basic Model Interface (BMI) coupling. By lowering technical barriers, NGIAB enables researchers to efficiently run localized models, promoting community engagement in hydrologic modeling and facilitating research-to-applications pathways.

ABSTRACT:

This resource provides a training and test module for applying FLDPLN to flood inundation mapping in Tuscaloosa, Alabama.
The resource is intended to support model training, workflow testing, and reproducible evaluation of FLDPLN-based flood mapping procedures in a local study area.
Users can use the materials provided in this resource to become familiar with the FLDPLN workflow, test model execution, and examine flood inundation mapping outputs for the Tuscaloosa application.

ABSTRACT:

Duplicate of file stored in the public domain here:
https://www.nco.ncep.noaa.gov/pmb/codes/nwprod/nwm.v2.2.0/parm/DOMAIN_WCOSS_Names/RouteLink_CONUS.nc

For more information, please see discussion here:
https://github.com/AlabamaWaterInstitute/data_access_examples/pull/9#issuecomment-1258666790