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Restructuring and serving web-accessible streamflow data from the NOAA National Water Model historic simulations
In 2016, the National Oceanic and Atmospheric Administration deployed the first iteration of an operational National Water Model (NWM) to forecast the water cycle in the continental United States. With many versions, an hourly, multi-decadal historic simulation is made available to the public. In al...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589206/ https://www.ncbi.nlm.nih.gov/pubmed/37863923 http://dx.doi.org/10.1038/s41597-023-02316-7 |
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author | Johnson, J. Michael Blodgett, David L. Clarke, Keith C. Pollak, Jon |
author_facet | Johnson, J. Michael Blodgett, David L. Clarke, Keith C. Pollak, Jon |
author_sort | Johnson, J. Michael |
collection | PubMed |
description | In 2016, the National Oceanic and Atmospheric Administration deployed the first iteration of an operational National Water Model (NWM) to forecast the water cycle in the continental United States. With many versions, an hourly, multi-decadal historic simulation is made available to the public. In all released to date, the files containing simulated streamflow contain a snapshot of model conditions across the entire domain for a single timestep which makes accessing time series a technical and resource-intensive challenge. In the most recent release, extracting a complete streamflow time series for a single location requires managing 367,920 files (~16.2 TB). In this work we describe a reproducable process for restructuring a sequential set of NWM steamflow files for efficient time series access and provide restructured datasets for versions 1.2 (1993–2018), 2.0 (1993–2020), and 2.1 (1979–2022). These datasets have been made accessible via an OPeNDAP enabled THREDDS data server for public use and a brief analysis highlights the latest version of the model should not be assumed best for all locations. Laslty, we describe an R package that expedites data retrieval with examples for multiple use-cases. |
format | Online Article Text |
id | pubmed-10589206 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105892062023-10-22 Restructuring and serving web-accessible streamflow data from the NOAA National Water Model historic simulations Johnson, J. Michael Blodgett, David L. Clarke, Keith C. Pollak, Jon Sci Data Data Descriptor In 2016, the National Oceanic and Atmospheric Administration deployed the first iteration of an operational National Water Model (NWM) to forecast the water cycle in the continental United States. With many versions, an hourly, multi-decadal historic simulation is made available to the public. In all released to date, the files containing simulated streamflow contain a snapshot of model conditions across the entire domain for a single timestep which makes accessing time series a technical and resource-intensive challenge. In the most recent release, extracting a complete streamflow time series for a single location requires managing 367,920 files (~16.2 TB). In this work we describe a reproducable process for restructuring a sequential set of NWM steamflow files for efficient time series access and provide restructured datasets for versions 1.2 (1993–2018), 2.0 (1993–2020), and 2.1 (1979–2022). These datasets have been made accessible via an OPeNDAP enabled THREDDS data server for public use and a brief analysis highlights the latest version of the model should not be assumed best for all locations. Laslty, we describe an R package that expedites data retrieval with examples for multiple use-cases. Nature Publishing Group UK 2023-10-20 /pmc/articles/PMC10589206/ /pubmed/37863923 http://dx.doi.org/10.1038/s41597-023-02316-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Johnson, J. Michael Blodgett, David L. Clarke, Keith C. Pollak, Jon Restructuring and serving web-accessible streamflow data from the NOAA National Water Model historic simulations |
title | Restructuring and serving web-accessible streamflow data from the NOAA National Water Model historic simulations |
title_full | Restructuring and serving web-accessible streamflow data from the NOAA National Water Model historic simulations |
title_fullStr | Restructuring and serving web-accessible streamflow data from the NOAA National Water Model historic simulations |
title_full_unstemmed | Restructuring and serving web-accessible streamflow data from the NOAA National Water Model historic simulations |
title_short | Restructuring and serving web-accessible streamflow data from the NOAA National Water Model historic simulations |
title_sort | restructuring and serving web-accessible streamflow data from the noaa national water model historic simulations |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589206/ https://www.ncbi.nlm.nih.gov/pubmed/37863923 http://dx.doi.org/10.1038/s41597-023-02316-7 |
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