Pennsylvania State University (PSU) researchers have been leveraging CIROH Cyberinfrastructure to tackle complex hydrological modeling challenges. This post highlights their innovative approach using the Wukong computing platform in conjunction with Amazon S3 bucket storage to efficiently process and analyze large-scale environmental datasets. 🚀
Image Source: https://github.com/BYU-Hydroinformatics/api-nwm-gcp
Several important historical and ongoing National Water Model (NWM) datasets are now available on Google Cloud BigQuery, which makes them queryable through SQL using Google Cloud console. Some of these data sets are also accessible through an API (e.g. using Python). These datasets and their current status are as follows:
| Product | Cloud Console SQL | CIROH API | Historical | Daily Updates |
| Medium-range forecasts | X | X | X | X |
| Long-range forecasts | X | X | X | X |
| Analysis and Assimilation | X | X | X | X |
| Retrospective Data (NWM v3) | X | X | ||
| Return Periods | X | X |
This month, we are excited to showcase two case studies that utilized our cyberinfrastructure tools and services. These case studies demonstrate how CIROH's cyberinfrastructure is being utilized to support hydrological research and operational advancements.
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.
We've release NGIAB v1.1.0! This release fixes issues:
More info: https://github.com/CIROH-UA/NGIAB-CloudInfra/releases/tag/v1.1.0