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Pan-European groundwater to atmosphere terrestrial systems climatology from a physically consistent simulation
Applying the Terrestrial Systems Modeling Platform, TSMP, this study provides the first simulated long-term (1996–2018), high-resolution (~12.5 km) terrestrial system climatology over Europe, which comprises variables from groundwater across the land surface to the top of the atmosphere (G2A). The d...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6914794/ https://www.ncbi.nlm.nih.gov/pubmed/31844064 http://dx.doi.org/10.1038/s41597-019-0328-7 |
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author | Furusho-Percot, Carina Goergen, Klaus Hartick, Carl Kulkarni, Ketan Keune, Jessica Kollet, Stefan |
author_facet | Furusho-Percot, Carina Goergen, Klaus Hartick, Carl Kulkarni, Ketan Keune, Jessica Kollet, Stefan |
author_sort | Furusho-Percot, Carina |
collection | PubMed |
description | Applying the Terrestrial Systems Modeling Platform, TSMP, this study provides the first simulated long-term (1996–2018), high-resolution (~12.5 km) terrestrial system climatology over Europe, which comprises variables from groundwater across the land surface to the top of the atmosphere (G2A). The data set offers an unprecedented opportunity to test hypotheses related to short- and long-range feedback processes in space and time between the different interacting compartments of the terrestrial system. The physical consistency of simulated states and fluxes in the terrestrial system constitutes the uniqueness of the data set: while most regional climate models (RCMs) have a tendency to simplify the soil moisture and groundwater representation, TSMP explicitly simulates a full 3D soil- and groundwater dynamics, closing the terrestrial water cycle from G2A. As anthopogenic impacts are excluded, the dataset may serve as a near-natural reference for global change simulations including human water use and climate change. The data set is available as netCDF files for the pan-European EURO-CORDEX domain. |
format | Online Article Text |
id | pubmed-6914794 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69147942019-12-23 Pan-European groundwater to atmosphere terrestrial systems climatology from a physically consistent simulation Furusho-Percot, Carina Goergen, Klaus Hartick, Carl Kulkarni, Ketan Keune, Jessica Kollet, Stefan Sci Data Data Descriptor Applying the Terrestrial Systems Modeling Platform, TSMP, this study provides the first simulated long-term (1996–2018), high-resolution (~12.5 km) terrestrial system climatology over Europe, which comprises variables from groundwater across the land surface to the top of the atmosphere (G2A). The data set offers an unprecedented opportunity to test hypotheses related to short- and long-range feedback processes in space and time between the different interacting compartments of the terrestrial system. The physical consistency of simulated states and fluxes in the terrestrial system constitutes the uniqueness of the data set: while most regional climate models (RCMs) have a tendency to simplify the soil moisture and groundwater representation, TSMP explicitly simulates a full 3D soil- and groundwater dynamics, closing the terrestrial water cycle from G2A. As anthopogenic impacts are excluded, the dataset may serve as a near-natural reference for global change simulations including human water use and climate change. The data set is available as netCDF files for the pan-European EURO-CORDEX domain. Nature Publishing Group UK 2019-12-16 /pmc/articles/PMC6914794/ /pubmed/31844064 http://dx.doi.org/10.1038/s41597-019-0328-7 Text en © The Author(s) 2019 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 Furusho-Percot, Carina Goergen, Klaus Hartick, Carl Kulkarni, Ketan Keune, Jessica Kollet, Stefan Pan-European groundwater to atmosphere terrestrial systems climatology from a physically consistent simulation |
title | Pan-European groundwater to atmosphere terrestrial systems climatology from a physically consistent simulation |
title_full | Pan-European groundwater to atmosphere terrestrial systems climatology from a physically consistent simulation |
title_fullStr | Pan-European groundwater to atmosphere terrestrial systems climatology from a physically consistent simulation |
title_full_unstemmed | Pan-European groundwater to atmosphere terrestrial systems climatology from a physically consistent simulation |
title_short | Pan-European groundwater to atmosphere terrestrial systems climatology from a physically consistent simulation |
title_sort | pan-european groundwater to atmosphere terrestrial systems climatology from a physically consistent simulation |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6914794/ https://www.ncbi.nlm.nih.gov/pubmed/31844064 http://dx.doi.org/10.1038/s41597-019-0328-7 |
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