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The Regional Hydrologic Extremes Assessment System: A software framework for hydrologic modeling and data
Konstantinos M Andreadis1, Narendra Das1, Dimitrios Stampoulis1
1Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States of America.
Plos One
|May 26, 2017
Summary
The Regional Hydrologic Extremes Assessment System (RHEAS) automates water resource forecasting. This flexible framework integrates diverse data for improved hydrologic modeling and decision-making.
Area of Science:
- Hydrology
- Environmental Modeling
- Water Resource Management
Background:
- Accurate water resource assessment is crucial for managing hydrologic extremes.
- Existing systems often lack integrated data assimilation and flexible forecasting capabilities.
Purpose of the Study:
- To introduce the Regional Hydrologic Extremes Assessment System (RHEAS) as a prototype software framework.
- To demonstrate RHEAS's capability in automating water resource nowcasting and forecasting applications.
Main Methods:
- Development of a spatially-enabled database for ingesting satellite and model data.
- Object-oriented software design enabling modularity and extensibility, including coupling with crop growth models.
- Implementation of multi-threading for scalability and integration with Geographic Information System (GIS) platforms.
Main Results:
- RHEAS successfully ingests diverse water cycle datasets from various sensors.
- The system demonstrates modularity through the integration of hydrologic and crop growth models.
- Example implementations in the US and Kenya showcase real-world applicability and feature demonstration.
Conclusions:
- RHEAS provides a robust and scalable framework for hydrologic modeling and data assimilation.
- The system facilitates the delivery of data products and uncertainty information via GIS platforms.
- RHEAS offers a versatile solution for enhancing water resource management and forecasting capabilities.
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