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NGIAB Reaches 10,000 Docker Pulls: NextGen In A Box Makes Water Modeling More Accessible

· 4 min read
Arpita Patel
DevOps Manager and Enterprise Architect

NGIAB Banner

We're thrilled to announce that NextGen In A Box (NGIAB) has surpassed 10,000 Docker pulls — a significant milestone reflecting the growing adoption of water modeling tools that are accessible to all. This achievement creates opportunities for researchers, practitioners, and students worldwide to leverage advanced water prediction frameworks without infrastructure barriers, accelerating global water science innovation.

From Research Innovation to Community Tool

When we first containerized the NextGen Water Resources Modeling Framework into NGIAB, our goal was simple yet ambitious: remove the technical barriers that prevented many researchers from accessing NOAA's next-generation water modeling capabilities.

Today, with over 10,000 downloads, it's clear the community was ready for this transformation.

The University of Alabama recently highlighted NGIAB's impact in their news feature, "UA Software Makes Water Modeling More Accessible", recognizing how this tool is changing the landscape of hydrologic research and education. As the article notes, NGIAB turns what was once a complex, infrastructure-heavy process into something that researchers can run on their laptops in minutes.

What 10,000 Pulls Really Means

Behind this number are stories of:

🎓 Graduate students exploring advanced modeling techniques with no setup headaches

🏫 Educators bringing cutting-edge tools into the classroom

🏢 Researchers at smaller institutions gaining access to national-scale modeling

🌍 International collaborators contributing to water modeling advancement without infrastructure constraints

🚨 Emergency managers rapidly deploying models for flood prediction

Community Growth and Impact

The rapid adoption of NGIAB reflects a broader movement:

1. Democratization of Advanced Modeling
No longer do researchers need access to specialized HPC resources or deep DevOps knowledge to run sophisticated water models. NGIAB levels the playing field.

2. Reproducible Science
Every one of those 10,000 pulls represents the exact same computational environment, ensuring that research results can be replicated anywhere in the world.

3. Accelerated Innovation
By removing setup friction, researchers can focus on science rather than software configuration, leading to faster iterations and discoveries.

Looking Forward: The Next 10,000

As we celebrate this milestone, we're already working on what's next:

📦 Expanded model library: Adding more BMI-compliant models to the NGIAB ecosystem

☁️ Cloud integration: Seamless deployment on AWS, Google Cloud, and Azure

📊 Enhanced visualization: Built-in tools for analyzing and presenting model outputs

🤝 Community contributions: Making it easier for users to share their configurations and improvements

Join the NGIAB Community

Whether you're pull number 10,001 or have been with us since the beginning, you're part of a growing community that's transforming water resources modeling.

Here's how to get involved:

👉 Try NGIAB: Visit the NGIAB 101 tutorial to get started

✍️ Share your use case: Tell us how you're using NGIAB in your research or operations

🛠 Contribute: Submit bug reports, feature requests, or code contributions

📢 Spread the word: Help others discover how NGIAB can accelerate their water modeling work

Thank You to Our Community

This milestone belongs to everyone who downloaded, tested, provided feedback, contributed code, or helped spread the word about NGIAB. Your engagement drives our continuous improvement and motivates us to make water modeling even more accessible.

As we reflect on reaching 10,000 Docker pulls, we're reminded that each download represents a researcher, student, or practitioner working to better understand and predict our water resources. Together, we're building a more resilient future through accessible, advanced water modeling.

Here's to the next 10,000 pulls and the continued growth of our community!


NGIAB is developed and maintained by the Cooperative Institute for Research to Operations in Hydrology (CIROH) at the University of Alabama. Learn more about our work in making water modeling accessible at ciroh.org.

Assessing Streamflow Forecast Over the Hackensack River Watershed Using NGIAB

· 3 min read
Jorge Bravo
Graduate Research Assistant
Marouane Temini
Associate Professor

A poster, titled "Assessing streamflow forecast over the Hackensack River Watershed using physics- and AI-driven weather prediction models".

A poster presented by the I-SMART team at the CIROH Developers Conference, held at the University of Vermont in Burlington from May 28 to 30, 2025.

The densely populated Hackensack River watershed lies within the New York City Metropolitan Area, which spans northern New Jersey and southern New York. Accurate streamflow forecasting within this region is therefore essential to enable effective water resource management, flood prediction, and disaster preparedness.

Precipitation data is critical for effective hydrological modeling, making the identification of reliable data sources a key priority. This is why the Integrated Spatial Modeling and Remote Sensing Technologies Laboratory (I-SMART), an interdisciplinary research unit within the Davidson Laboratory at Stevens Institute of Technology in Hoboken, New Jersey, uses the latest developments in both atmospheric and hydrological modeling to address flood risks in the Hackensack Watershed with solutions that could be expanded to the entire New York City Metropolitan Area.

DevCon 2025: Hydroinformatics and Research CyberInfrastructure Keynote

· 5 min read
Arpita Patel
DevOps Manager and Enterprise Architect

Last week, I had the incredible opportunity to co-present a keynote at the CIROH Developers Conference (DevCon 2025), which attracted over 200 attendees. This presentation, which I presented alongside Dan Ames, focused on "CIROH HydroInformatics and Research Cyberinfrastructure." It was a fantastic experience to share insights into the powerful tools and technologies that CIROH engineers, students, researchers have been developing to advance hydrological research and operations.


Application of NOAA-OWP's NextGen Framework: DevCon 2025 and EWRI Congress 2025 Highlights

· 5 min read
Sifan A. Koriche
Research [Hydrologic] Scientist

AWI Science and Technology Team @ CIROH DevCon2025

CIROH-AWI Science and Technology Team.
Left to right: Sagy Cohen, Steven Burian, Manjila Singh, Saide Zand, Savalan N. Neisary, Arpita Patel, Nia Minor, Trupesh Patel, Sifan A. Koriche, Jonathan Frame, Reza S. Alipour, Hari T. Jajula, Chad Perry; Josh Cunningham.

May was a pivotal month for representing the Cooperative Institute for Research to Operations in Hydrology (CIROH) and our collective work in advancing water science. As one of CIROH's Ambassadors, I had the privilege of connecting with the broader scientific community at two key events: the Environmental and Water Resources Institute (EWRI) Congress in Anchorage, Alaska, and the 2025 CIROH Developers Conference in Burlington, Vermont.

δHBV2.0: How NGIAB and Wukong HPC Streamlined Advanced Hydrologic Modeling

· 2 min read
Yalan Song
Research Assistant Professor
Leo Lonzarich
Graduate Researcher
Arpita Patel
DevOps Manager and Enterprise Architect
James Halgren
Assistant Director of Science

Image of graphical outputs from the δHBV2.0 model

Predicting water flow with precision across the vast U.S. landscape is a complex challenge. That's why Song et al. 2024 developed δHBV2.0, a cutting-edge hydrologic model. It’s built with high-resolution modeling of physics to deliver seamless, highly accurate streamflow simulations, even down to individual sub-basins. It's already proven to be a major improvement, performing better than older tools at about 4,000 measurement sites. We also provide a comprehensive 40-year water dataset for ~180,000 river reaches to support this.

Penn State research group pushed δHBV2.0 further, training it with even more detailed river data and integrating other trusted models, aiming to make it a key part of the NextGen national water modeling system (as a potential NWM3.0 successor). But here’s a common hurdle: making powerful scientific tools like this easy and reliable for everyone to use within a larger framework can be tough. Setup issues, runtime errors, and inconsistent results can frustrate users.

NGIAB stepped in to solve exactly this problem. Team has taken the complexity out of using the operations-ready models within NextGen by creating one unified, reliable package. Thanks to NGIAB, users don't have to worry about tricky setups or whether the model will run correctly. NGIAB ensures that our models are compatible everywhere and, most importantly, that they run exactly as designed, consistently and faithfully, every single time, no babysitting required. This means users get the full power of our advanced modeling, without the headaches.

🌟 UA's Alabama Water Institute Showcases 30-Minute Hydrological Modeling Revolution🌟

· One min read
Arpita Patel
DevOps Manager and Enterprise Architect

🌍 AWI News

The Alabama Water Institute (AWI) at the University of Alabama (UA) recently published an article highlighting how NextGen In A Box (NGIAB) could transform hydrological modeling. This article provides great insight into NGIAB's real-world impact:

  • 🚀30-minute setup vs days/weeks of configuration
  • 📖 Provo River Basin Case Study demonstrating rapid deployment
ngiab image

➡️ Read the full press release here!

Community NextGen Updates

· 3 min read
Arpita Patel
DevOps Manager and Enterprise Architect

The Community NextGen framework has seen significant advancements in November 2024, with major updates across multiple components and exciting new resources for users. Let's dive into the key developments that are making hydrologic modeling more accessible and powerful than ever.

AWRA 2024 Spring Conference

· 2 min read
Arpita Patel
DevOps Manager and Enterprise Architect

AWRA 2024 Spring Conference

The CIROH CyberInfrastructure team recently participated in the AWRA 2024 Spring Conference, co-hosted by the Alabama Water Institute at the University of Alabama.

Themed "Water Risk and Resilience: Research and Sustainable Solutions," the conference brought together a diverse group of water professionals to exchange knowledge and explore cutting-edge research in the field.

Monthly News Update - February 2024

· 2 min read
Arpita Patel
DevOps Manager and Enterprise Architect

Welcome to the February edition of the CIROH DocuHub blog, where we bring you the latest updates and news about the Community NextGen project and CIROH's Cloud and on-premise Infrastructure.

Our team has been hard at work enhancing CIROH's Infrastructure and Community NextGen tools. Here are some highlights from February 2024:

  1. We successfully launched our new On-premises Infrastructure, which is now fully operational. You can find documentation for it here.

NextGen Monthly News Update - January 2024

· 2 min read
Arpita Patel
DevOps Manager and Enterprise Architect

Welcome to the January edition of the CIROH DocuHub blog, where we share the latest updates and news about the Community NextGen project monthly. NextGen is a cutting-edge hydrologic modeling framework that aims to advance the science and practice of hydrology and water resources management. In this month's blog, we will highlight some of the recent achievements and developments of the Community NextGen team.