Arpita Patel

and 16 more

The NextGen Water Resources Modeling Framework (NextGen), developed by NOAA's National Water Center, is an innovative and evolving model-agnostic framework designed to enhance flood and drought predictions, optimize water resource management, and protect lives, property, and the environment. This poster outlines the latest advancements in the NextGen framework, particularly focusing on the communityaccessible version known as "NextGen In A Box" (NGIAB) (https://docs.ciroh.org/docs/products/Community%20Hydrologic%20Modeling%20Framework/nextgeninaboxDocker/), which simplifies deployment and fosters collaboration among researchers. It also highlights the introduction of new tools that enhance data preparation, evaluation, visualization and continous datastream, thereby improving the overall efficiency and accessibility of the framework for hydrological research. Building on last year's updates, NGIAB now features integration with four major tools: the Data Preprocess, TEEHR, the Data Visualizer and DataStream. The Data Preprocessor, designed with a user-friendly interface simplifies data preparation for NextGen simulations, allowing users to select catchments and date ranges on an interactive map, making data preparation a simple process. TEEHR for evaluating hydrologic model. The Data Visualizer provides geospatial and time series visualization for catchments and nexus points, and empowers researchers with enhanced analysis of hydrological data. DataStream automates the process of collecting data, running NextGen and handling outputs. These new tools make NWM development and tool integration more efficient, enhancing accessibility and usability for researchers. The project maintains active engagement with the hydrology community through events like the CUAHSI Summer Institute and the CIROH Developers Conference. These platforms provide opportunities for the community to share their feedback and suggestions. By utilizing tools such as Git, GitHub, Docker, Singularity and Continuous Integration/Continuous Delivery (CI/CD), NGIAB and new tools supports open source research practices, fostering transparent and reproducible research outcomes. The addition of the Data Preprocessor, TEEHR, Data Visualizer and DataStream enhance the framework's utility and accessibility for the hydrological research community.