GEOGloWS - ECMWF Streamflow Model
- Creators
- European Centre for Medium-Range Weather Forecasts (ECMW)
- National Oceanic and Atmospheric Administration (NOAA)
- Centre national d'études spatiales (CNES)
- National Aeronautics and Space Administration (NASA)
- Environmental Systems Research Institute (ESRI)
- Brigham Young University (BYU)
- Work Bank (WB)
- United States Agency For International Development (USAID)
- International Centre for Integrated Mountain Development (ICIMOD)
- Copernicus
- Joint Research Centre (JRC)
- Aquaveo, LLC
Description
The GEOGloWS ECMWF Streamflow Model is a Hydrologic Model which provides forecasted and historically simulated river discharge. The model is built so that it can be accessed through web services, an approach we call Hydrologic Modeling as a Service (HMaaS). This approach centralizes the cyber-infrastructure, human capacity, and other components of hydrological modeling using the best meteorology and expertise from ECMWF, along with the latest advances in Information and Communication Technology (ICT). It is a reliable hydrological forecast information service, a disruptive technology that moves away from needing to replicate the modelling process, duplicate the underlying geographic and meteorology data, and provide computer, human, and financial resources locally.
The GEOGloWS global streamflow forecasting service allows local stakeholders to focus on solving water management problems such as flooding, drought, and water/food security issues by providing the water intelligence they need to make decisions. It also benefits the global economy by providing water intelligence to sectors that need to make high-risk investment decisions such as the insurance and reinsurance industries.
GEOGloWS helps to organize the international community engaged in the hydrologic sciences, observations, and forecasting. It provides a forum for government-to-government collaboration, and engagement with the academic and private sectors to achieve the delivery of actionable water information. Since the formal creation of the initiative in 2017, the most significant element of GEOGloWS has been the application of Earth Observations (EO) to create a system that forecasts flow on every river of the world while also providing a 40+ year simulated historical flow. This system is called the GEOGLoWS ECMWF Streamflow Services.
For more information about the GEOGloWS, please refer to the documentation: https://training.geoglows.org/en/latest/content/streamflow-model/model-components.html
A video describing the GEOGloWS Streamflow Model is also available on YouTube (https://youtu.be/j-RLPVJ_v_0).