ABSTRACT:

NextGen In A Box (NGIAB) - Advanced Hydrologic Modeling Platform
NextGen In A Box (NGIAB) is a cutting-edge, containerized hydrologic modeling framework that brings the power of NOAA's Next Generation Water Resources Modeling Framework to researchers and practitioners worldwide. This innovative platform simplifies the deployment and execution of complex water prediction models through a user-friendly, portable environment. NGIAB enables users to run sophisticated hydrologic simulations without extensive infrastructure setup, making advanced water modeling accessible to organizations of all sizes.
Key features include modular architecture for customizable modeling workflows, seamless integration with various data sources, built-in visualization tools for result analysis, and support for both local and cloud-based deployments. The platform supports multiple modeling engines and frameworks, allowing users to select the most appropriate tools for their specific applications. Whether for flood forecasting, water resource management, or research applications, NGIAB provides a comprehensive solution for modern hydrologic modeling needs. The system's containerized approach ensures consistency, reproducibility, and scalability across different computing environments.

ABSTRACT:

The NGIAB 101 training module, developed by the Cooperative Institute for Research to Operations in Hydrology (CIROH) and Lynker, offers an introductory, hands-on learning experience with NextGen In A Box (NGIAB)—a modular, open-source hydrologic modeling framework designed to advance water prediction capabilities. This comprehensive module guides users through the complete modeling workflow, including system installation, data preparation, model execution, evaluation, and visualization of results.
The training is structured to accommodate users of varying technical backgrounds, from beginners to advanced practitioners. It provides step-by-step instructions and practical exercises that ensure participants gain real-world experience with the framework. Additionally, the module includes optional advanced topics for those interested in deploying NGIAB in high-performance computing (HPC) environments, enabling scalable applications for large-scale hydrologic modeling projects. By completing this training, users will develop the foundational skills necessary to implement NGIAB for their own hydrologic research and operational forecasting needs, contributing to improved water resource management and flood prediction capabilities.

ABSTRACT:

CIROH 2i2c JupyterHub used for Workshops

- https://workshop.ciroh.awi.2i2c.cloud

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:

CIROH 2i2c JupyterHub - Production Server

CIROH 2i2c Production environment - https://ciroh.awi.2i2c.cloud/

To gain access to this environment please reach out to ciroh-it-admin@ua.edu