The regional hydrologic extremes assessment system: A software framework for hydrologic modeling and data assimilation

Konstantinos M. Andreadis, Narendra Das, Dimitrios Stampoulis, Amor Ines, Joshua B. Fisher, Stephanie Granger, Jessie Kawata, Eunjin Han, Ali Behrangi

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

The Regional Hydrologic Extremes Assessment System (RHEAS) is a prototype software framework for hydrologic modeling and data assimilation that automates the deployment of water resources nowcasting and forecasting applications. A spatially-enabled database is a key component of the software that can ingest a suite of satellite and model datasets while facilitating the interfacing with Geographic Information System (GIS) applications. The datasets ingested are obtained from numerous space-borne sensors and represent multiple components of the water cycle. The object-oriented design of the software allows for modularity and extensibility, showcased here with the coupling of the core hydrologic model with a crop growth model. RHEAS can exploit multi-threading to scale with increasing number of processors, while the database allows delivery of data products and associated uncertainty through a variety of GIS platforms. A set of three example implementations of RHEAS in the United States and Kenya are described to demonstrate the different features of the system in real-world applications.

Original languageEnglish (US)
Article numbere0176506
JournalPloS one
Volume12
Issue number5
DOIs
StatePublished - May 2017
Externally publishedYes

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General

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