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| Created: | Mar 13, 2026 at 9:49 p.m. (UTC) | |
| Last updated: | Nov 02, 2026 at 6:52 p.m. (UTC) (Metadata update) | |
| Published date: | Nov 02, 2026 at 6:51 p.m. (UTC) | |
| DOI: | 10.4211/hs.dfda06a251de4d95ac7076b85fd66be4 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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Abstract
CIROH research requires substantial and diverse computational capabilities, and need that requires research to
investigate the most effective computing infrastructure for a variety of research applications. To do so, CIROH’s
cyberinfrastructure team has established a consortium-wide Research Cloud including cloud resources, high-
performance computing (HPC) resources, and storage capabilities. Research from CIROH explores and identifies
the most useful Cloud and HPC resources, develops and documents them to support CIROH computing, and creates
materials and support processes for training the community on the effective use of the resources. To meet the size
and scope of NextGen, FIM and the importance of its purpose for NOAA, CIROH Cyberinfrastructure provides a
flexible, scalable and secure infrastructure for researchers, enabling research projects with a far-reaching impact
across all CIROH research activities.
The CIROH Cyberinfrastructure, also known as the Research to Operations Hybrid Cloud (R2OHC) Platform (https://hub.ciroh.org/docs/services/intro) is a
unified, multi-cloud hybrid ecosystem that integrates public clouds (AWS, Google Cloud, Azure), managed services
(via 2i2c JupyterHub deployed on Google Cloud), NSF ACCESS allocations, and on-premises high-performance
computing (HPC). It is designed to provide accessible, scalable, and secure computational resources for over 500+
researchers across 28+ academic institutions, transforming hydrological modeling through cloud-native approaches.
Modern DevOps practices and open-source technologies allow R2OHC to deliver speed, quality, and continuous
improvement. Key innovations such as automated Continuous Integration/Continuous Deployment (CI/CD) pipelines,
containerized workflows, pre-configured environments, and an ecosystem built on Infrastructure as Code (IaC) have
reduced model setup time, enabling researchers to focus on science rather than technical configuration challenges.
The infrastructure supports a community of 300+ users and 100+ CIROH IT tickets, which has enabled numerous peer-reviewed publications,
presentations, and trainings. The CIROH-UA GitHub organization currently hosts 60+ public repositories advancing
water resources research with 100+ contributors and 8,060+ commits.
CIROH’s standard of practice (SOP) document v1.1 https://hub.ciroh.org/docs/policies/CyberinfrastructurePolicy/
sop/ shared with members and partners provides standard operating procedures that governs the process of
administering CIROH Cyberinfrastructure’s cloud and on-premises resources.
More information from 2026 : https://alabama.app.box.com/v/2026CIROHReviewScienceBook - Appendix IX
Subject Keywords
Coverage
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Content
README.md
R2OHC Cloud Platform
Research to Operations Hybrid Cloud Platform
Computing infrastructure access for consortium members and partners! At CIROH, we provide a flexible computational platform to support collaborative hydrology research surrounding the NextGen framework.
Overview
The R2OHC Cloud Platform, also known as CIROH Cyberinfrastructure, empowers CIROH consortium members by providing a scalable, efficient, and user-friendly computing platform for hydrology research.
We understand the challenges researchers face in managing computational resources. The CIROH Cloud alleviates these burdens by offering a suite of pre-configured environments and resources. We deploy VMs, operating systems, applications, networks, and datasets as research workspaces across multiple clouds.
Our team of engineers and developers optimizes both:
- Cloud infrastructure: AWS and Google Cloud
- On-premise infrastructure: Pantarhei and Wukong HPC clusters (traditional SLURM HPC setup)
Together, these resources form a hybrid cloud that combines the most useful aspects of cloud providers and locally managed resources. The result is a powerful platform that offers:
- Simplified Access: Streamlined access to computational environments, eliminating time-consuming installation and maintenance.
- Flexibility: Multi-cloud and on-premise infrastructure with a diverse range of options to suit your research needs.
- Scalable Resources: Readily scales to accommodate growing data analysis and computational demands.
- Pre-Installed Software: Hydrological software packages ready to use, so you can jumpstart your research.
- Streamlined Development: Secure and rapid application development and deployment in the cloud.
R2OHC is designed to empower CIROH researchers and innovators to achieve groundbreaking results in hydrology.
Definition and Scope
R2OHC supports a broad ecosystem of research, development, and integration activities. Its primary scopes are to:
- Support community development, system integration, and research cyberinfrastructure for a large consortium of members and partners.
- Assist with integrating research products from consortium members into a unified presentation for our sponsor to evaluate for potential operational applications.
- Conduct independent research, particularly in data science, machine learning, computational and algorithmic optimization, and visualization.
Goals
- Promote reproducible hydrologic computing experiments with the NextGen Water Resources Modeling Framework.
- Provide support for, and lower the barrier to entry for, NextGen-related experiments at various scales.
- Accelerate the interconnection and integration of research products and hydroinformatics innovations from ongoing CIROH experiments.
- Provide a flexible, scalable, and secure infrastructure for researchers to perform computational tasks and to store and analyze data.
- Enable researchers to run simulations, analyze large datasets, and collaborate with colleagues across locations.
- Advance hydrological modeling through DevOps practices, Cloud–HPC integration, and open-source development of NextGen and related tools.
- Enhance research impact and community engagement for CIROH projects while addressing computational challenges across scales.
- Strengthen cyberinfrastructure to support R2O2R (Research to Operations to Research) activities in hydrology.
Importance and Benefits
R2OHC provides significant research infrastructure benefits to CIROH consortium members and partners:
| Benefit | Description |
|---|---|
| Accessibility | Easy access to infrastructure regardless of location or device. |
| Scalability | Scale up or down to meet researchers' changing demands. |
| Security | Measures that ensure the confidentiality, integrity, and availability of research data. |
| Performance | Capacity to handle demanding computational and data analysis workloads. |
| Collaboration | Secure, efficient data sharing with colleagues. |
Use Cases
- High-Performance Computing: An HPC environment for complex simulations and data analysis.
- Data Storage and Management: Secure, scalable storage for large datasets.
- Data Sharing and Collaboration: A platform for sharing and collaborating on research data.
- Virtual Computing Environments: Virtual environments for running custom software and tools.
Requesting Access
The attached NGIAB-CloudInfra-main.zip is a copy of the CIROH-UA/NGIAB-CloudInfra repository, which contains the IT forms for requesting access to the R2OHC Platform.
Additional Metadata
| Name | Value |
|---|---|
| CIROH IT Services | https://hub.ciroh.org/docs/services/intro |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Oceanic and Atmospheric Administration (NOAA), University of Alabama | None | NA22NWS4320003 to University of Alabama |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
|---|---|---|---|---|
| Trupesh Patel | The University of Alabama | |||
| Richard Adkins | The University of Alabama | |||
| James Halgren | University of Alabama | Alabama, US | 2052279611 | |
| Purushotham Bangalore |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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