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The Regional Hydrologic Extremes Assessment System: A software framework for hydrologic modeling and data assimilation

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 ca...

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Autores principales: Andreadis, Konstantinos M., Das, Narendra, Stampoulis, Dimitrios, Ines, Amor, Fisher, Joshua B., Granger, Stephanie, Kawata, Jessie, Han, Eunjin, Behrangi, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436646/
https://www.ncbi.nlm.nih.gov/pubmed/28545077
http://dx.doi.org/10.1371/journal.pone.0176506
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author Andreadis, Konstantinos M.
Das, Narendra
Stampoulis, Dimitrios
Ines, Amor
Fisher, Joshua B.
Granger, Stephanie
Kawata, Jessie
Han, Eunjin
Behrangi, Ali
author_facet Andreadis, Konstantinos M.
Das, Narendra
Stampoulis, Dimitrios
Ines, Amor
Fisher, Joshua B.
Granger, Stephanie
Kawata, Jessie
Han, Eunjin
Behrangi, Ali
author_sort Andreadis, Konstantinos M.
collection PubMed
description 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.
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spelling pubmed-54366462017-05-27 The Regional Hydrologic Extremes Assessment System: A software framework for hydrologic modeling and data assimilation Andreadis, Konstantinos M. Das, Narendra Stampoulis, Dimitrios Ines, Amor Fisher, Joshua B. Granger, Stephanie Kawata, Jessie Han, Eunjin Behrangi, Ali PLoS One Research Article 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. Public Library of Science 2017-05-18 /pmc/articles/PMC5436646/ /pubmed/28545077 http://dx.doi.org/10.1371/journal.pone.0176506 Text en © 2017 Andreadis et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Andreadis, Konstantinos M.
Das, Narendra
Stampoulis, Dimitrios
Ines, Amor
Fisher, Joshua B.
Granger, Stephanie
Kawata, Jessie
Han, Eunjin
Behrangi, Ali
The Regional Hydrologic Extremes Assessment System: A software framework for hydrologic modeling and data assimilation
title The Regional Hydrologic Extremes Assessment System: A software framework for hydrologic modeling and data assimilation
title_full The Regional Hydrologic Extremes Assessment System: A software framework for hydrologic modeling and data assimilation
title_fullStr The Regional Hydrologic Extremes Assessment System: A software framework for hydrologic modeling and data assimilation
title_full_unstemmed The Regional Hydrologic Extremes Assessment System: A software framework for hydrologic modeling and data assimilation
title_short The Regional Hydrologic Extremes Assessment System: A software framework for hydrologic modeling and data assimilation
title_sort regional hydrologic extremes assessment system: a software framework for hydrologic modeling and data assimilation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436646/
https://www.ncbi.nlm.nih.gov/pubmed/28545077
http://dx.doi.org/10.1371/journal.pone.0176506
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