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FutureStreams, a global dataset of future streamflow and water temperature
There is growing evidence that climate change impacts ecosystems and socio-economic activities in freshwater environments. Consistent global data of projected streamflow and water temperature are key to global impact assessments, but such a dataset is currently lacking. Here we present FutureStreams...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200746/ https://www.ncbi.nlm.nih.gov/pubmed/35705555 http://dx.doi.org/10.1038/s41597-022-01410-6 |
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author | Bosmans, Joyce Wanders, Niko Bierkens, Marc F. P. Huijbregts, Mark A. J. Schipper, Aafke M. Barbarossa, Valerio |
author_facet | Bosmans, Joyce Wanders, Niko Bierkens, Marc F. P. Huijbregts, Mark A. J. Schipper, Aafke M. Barbarossa, Valerio |
author_sort | Bosmans, Joyce |
collection | PubMed |
description | There is growing evidence that climate change impacts ecosystems and socio-economic activities in freshwater environments. Consistent global data of projected streamflow and water temperature are key to global impact assessments, but such a dataset is currently lacking. Here we present FutureStreams, the first global dataset of projected future streamflow and water temperature for multiple climate scenarios (up to 2099) gridded at a 5 arcminute spatial resolution (~10 km at the equator), including recent past data (1976–2005) for comparison. We generated the data using global hydrological and water temperature models (PCR-GLOBWB, DynWat) forced with climate data from five general circulation models. We included four representative concentration pathways to cover multiple future greenhouse gas emission trajectories and associated changes in climate. Our dataset includes weekly streamflow and water temperature for each year as well as a set of derived indicators that are particularly relevant from an ecological perspective. FutureStreams provides a crucial starting point for large-scale assessments of the implications of changes in streamflow and water temperature for society and freshwater ecosystems. |
format | Online Article Text |
id | pubmed-9200746 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92007462022-06-17 FutureStreams, a global dataset of future streamflow and water temperature Bosmans, Joyce Wanders, Niko Bierkens, Marc F. P. Huijbregts, Mark A. J. Schipper, Aafke M. Barbarossa, Valerio Sci Data Data Descriptor There is growing evidence that climate change impacts ecosystems and socio-economic activities in freshwater environments. Consistent global data of projected streamflow and water temperature are key to global impact assessments, but such a dataset is currently lacking. Here we present FutureStreams, the first global dataset of projected future streamflow and water temperature for multiple climate scenarios (up to 2099) gridded at a 5 arcminute spatial resolution (~10 km at the equator), including recent past data (1976–2005) for comparison. We generated the data using global hydrological and water temperature models (PCR-GLOBWB, DynWat) forced with climate data from five general circulation models. We included four representative concentration pathways to cover multiple future greenhouse gas emission trajectories and associated changes in climate. Our dataset includes weekly streamflow and water temperature for each year as well as a set of derived indicators that are particularly relevant from an ecological perspective. FutureStreams provides a crucial starting point for large-scale assessments of the implications of changes in streamflow and water temperature for society and freshwater ecosystems. Nature Publishing Group UK 2022-06-15 /pmc/articles/PMC9200746/ /pubmed/35705555 http://dx.doi.org/10.1038/s41597-022-01410-6 Text en © The Author(s) 2022 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 Bosmans, Joyce Wanders, Niko Bierkens, Marc F. P. Huijbregts, Mark A. J. Schipper, Aafke M. Barbarossa, Valerio FutureStreams, a global dataset of future streamflow and water temperature |
title | FutureStreams, a global dataset of future streamflow and water temperature |
title_full | FutureStreams, a global dataset of future streamflow and water temperature |
title_fullStr | FutureStreams, a global dataset of future streamflow and water temperature |
title_full_unstemmed | FutureStreams, a global dataset of future streamflow and water temperature |
title_short | FutureStreams, a global dataset of future streamflow and water temperature |
title_sort | futurestreams, a global dataset of future streamflow and water temperature |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200746/ https://www.ncbi.nlm.nih.gov/pubmed/35705555 http://dx.doi.org/10.1038/s41597-022-01410-6 |
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