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Make water sustainability research FAIR. Access high-performance computing and massive datasets directly via your browser.
OpenGHM removes technical barriers to storing, accessing, and running the data and code that enables large-scale hydrologic modeling. We provide a unified, cloud-native platform that integrates data, compute, and visualization.
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Everything you need to conduct state-of-the-art water research in one place, powered by NSF Anvil Cyberinfrastructure.
User-friendly web portal connecting directly to NSF Anvil supercomputer without command-line complexity.
Access vast repository of GHM-ready input data (ZARR format) hosted in high-availability cloud storage.
Run containerized, reproducible state-of-the-art hydrologic models instantly.
Powerful Python APIs for data processing, spatial resampling, and interactive visualization notebooks.
Now available in ZARR format. Includes hourly precipitation estimates derived from IMERG satellite products.
Access Data
Major performance improvements for spatial resampling and new authentication flows for the JupyterHub gateway.
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Join the OpenGHM team in San Francisco for a hands-on workshop on cloud-native hydrology.
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Bridging hydrology with economics and policy making to solve complex global water challenges.
Executing large-scale ensemble simulations with massive compute resources on NSF Anvil.
Lowering the barrier to entry for learning global hydrology through interactive, browser-based tools.
Join hundreds of hydrologists using OpenGHM to process data faster and simulate smarter. Get started for free today.