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Approaching 80 years of snow water equivalent information by merging different data streams

Merging multiple data streams together can improve the overall length of record and achieve the number of observations required for robust statistical analysis. We merge complementary information from different data streams with a regression-based approach to estimate the 1 April snow water equivale...

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Autores principales: Huning, Laurie S., AghaKouchak, Amir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538932/
https://www.ncbi.nlm.nih.gov/pubmed/33024119
http://dx.doi.org/10.1038/s41597-020-00649-1
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author Huning, Laurie S.
AghaKouchak, Amir
author_facet Huning, Laurie S.
AghaKouchak, Amir
author_sort Huning, Laurie S.
collection PubMed
description Merging multiple data streams together can improve the overall length of record and achieve the number of observations required for robust statistical analysis. We merge complementary information from different data streams with a regression-based approach to estimate the 1 April snow water equivalent (SWE) volume over Sierra Nevada, USA. We more than double the length of available data-driven SWE volume records by leveraging in-situ snow depth observations from longer-length snow course records and SWE volumes from a shorter-length snow reanalysis. With the resulting data-driven merged time series (1940–2018), we conduct frequency analysis to estimate return periods and associated uncertainty, which can inform decisions about the water supply, drought response, and flood control. We show that the shorter (~30-year) reanalysis results in an underestimation of the 100-year return period by ~25 years (relative to the ~80-year merged dataset). Drought and flood risk and water resources planning can be substantially affected if return periods of SWE, which are closely related to potential flooding in spring and water availability in summer, are misrepresented.
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spelling pubmed-75389322020-10-19 Approaching 80 years of snow water equivalent information by merging different data streams Huning, Laurie S. AghaKouchak, Amir Sci Data Data Descriptor Merging multiple data streams together can improve the overall length of record and achieve the number of observations required for robust statistical analysis. We merge complementary information from different data streams with a regression-based approach to estimate the 1 April snow water equivalent (SWE) volume over Sierra Nevada, USA. We more than double the length of available data-driven SWE volume records by leveraging in-situ snow depth observations from longer-length snow course records and SWE volumes from a shorter-length snow reanalysis. With the resulting data-driven merged time series (1940–2018), we conduct frequency analysis to estimate return periods and associated uncertainty, which can inform decisions about the water supply, drought response, and flood control. We show that the shorter (~30-year) reanalysis results in an underestimation of the 100-year return period by ~25 years (relative to the ~80-year merged dataset). Drought and flood risk and water resources planning can be substantially affected if return periods of SWE, which are closely related to potential flooding in spring and water availability in summer, are misrepresented. Nature Publishing Group UK 2020-10-06 /pmc/articles/PMC7538932/ /pubmed/33024119 http://dx.doi.org/10.1038/s41597-020-00649-1 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Huning, Laurie S.
AghaKouchak, Amir
Approaching 80 years of snow water equivalent information by merging different data streams
title Approaching 80 years of snow water equivalent information by merging different data streams
title_full Approaching 80 years of snow water equivalent information by merging different data streams
title_fullStr Approaching 80 years of snow water equivalent information by merging different data streams
title_full_unstemmed Approaching 80 years of snow water equivalent information by merging different data streams
title_short Approaching 80 years of snow water equivalent information by merging different data streams
title_sort approaching 80 years of snow water equivalent information by merging different data streams
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538932/
https://www.ncbi.nlm.nih.gov/pubmed/33024119
http://dx.doi.org/10.1038/s41597-020-00649-1
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