A climate database with varying drought‐heat signatures for climate impact modelling
Abstract Extreme climate events, such as droughts and heatwaves, can have large impacts on the environment. Disentangling their individual and combined effects is a difficult task, due to the challenges associated with generating controlled environments to study differences in their impacts. One app...
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crwiley:10.1002/gdj3.129 2024-06-02T07:57:55+00:00 A climate database with varying drought‐heat signatures for climate impact modelling Tschumi, Elisabeth Lienert, Sebastian van der Wiel, Karin Joos, Fortunat Zscheischler, Jakob National Natural Science Foundation of China Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung Nederlandse Organisatie voor Wetenschappelijk Onderzoek 2021 http://dx.doi.org/10.1002/gdj3.129 https://onlinelibrary.wiley.com/doi/pdf/10.1002/gdj3.129 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/gdj3.129 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/gdj3.129 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Geoscience Data Journal volume 9, issue 1, page 154-166 ISSN 2049-6060 2049-6060 journal-article 2021 crwiley https://doi.org/10.1002/gdj3.129 2024-05-03T11:00:08Z Abstract Extreme climate events, such as droughts and heatwaves, can have large impacts on the environment. Disentangling their individual and combined effects is a difficult task, due to the challenges associated with generating controlled environments to study differences in their impacts. One approach to this problem is creating artificial climate forcing with varying magnitude of univariate and compound extremes, which can be applied to process‐based impact models. Here, we propose and describe a set of six 100‐year long climate scenarios with varying drought‐heat signatures that are derived from climate model simulations whose mean climate is comparable to present‐day climate conditions. The changes in extremes are most notable in the 3 months in which vegetation activity is highest and where arguably hot and dry extremes may have the largest impacts. Besides a control scenario representing natural variability (Control), one scenario has neither heat nor drought extremes (Noextremes), one has univariate extremes but no compound extremes (Nocompound), one has only heat extremes but few droughts (Hot), one has only droughts but few heatwaves (Dry), and one has many compound heat and drought extremes (Hotdry). These scenarios differ only moderately in their global mean climate (about 0.3°C in temperature and 6% in precipitation) and do not contain any long‐term trends. The data are provided on a daily timescale over land (except Antarctica and parts of Greenland) on a regular 1° × 1° grid. These scenarios were constructed primarily to investigate the impact of varying drought‐heat signatures on vegetation and the terrestrial carbon cycle. However, we believe that they may also prove useful to study the differential impacts of droughts and heatwaves in other areas, such as the occurrence of wildfires or crop failure. The data described here can be found on zenodo ( https://doi.org/10.5281/zenodo.4385445 , Tschumi et al., 2020). Article in Journal/Newspaper Antarc* Antarctica Greenland Wiley Online Library Greenland Geoscience Data Journal 9 1 154 166 |
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Wiley Online Library |
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English |
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Abstract Extreme climate events, such as droughts and heatwaves, can have large impacts on the environment. Disentangling their individual and combined effects is a difficult task, due to the challenges associated with generating controlled environments to study differences in their impacts. One approach to this problem is creating artificial climate forcing with varying magnitude of univariate and compound extremes, which can be applied to process‐based impact models. Here, we propose and describe a set of six 100‐year long climate scenarios with varying drought‐heat signatures that are derived from climate model simulations whose mean climate is comparable to present‐day climate conditions. The changes in extremes are most notable in the 3 months in which vegetation activity is highest and where arguably hot and dry extremes may have the largest impacts. Besides a control scenario representing natural variability (Control), one scenario has neither heat nor drought extremes (Noextremes), one has univariate extremes but no compound extremes (Nocompound), one has only heat extremes but few droughts (Hot), one has only droughts but few heatwaves (Dry), and one has many compound heat and drought extremes (Hotdry). These scenarios differ only moderately in their global mean climate (about 0.3°C in temperature and 6% in precipitation) and do not contain any long‐term trends. The data are provided on a daily timescale over land (except Antarctica and parts of Greenland) on a regular 1° × 1° grid. These scenarios were constructed primarily to investigate the impact of varying drought‐heat signatures on vegetation and the terrestrial carbon cycle. However, we believe that they may also prove useful to study the differential impacts of droughts and heatwaves in other areas, such as the occurrence of wildfires or crop failure. The data described here can be found on zenodo ( https://doi.org/10.5281/zenodo.4385445 , Tschumi et al., 2020). |
author2 |
National Natural Science Foundation of China Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung Nederlandse Organisatie voor Wetenschappelijk Onderzoek |
format |
Article in Journal/Newspaper |
author |
Tschumi, Elisabeth Lienert, Sebastian van der Wiel, Karin Joos, Fortunat Zscheischler, Jakob |
spellingShingle |
Tschumi, Elisabeth Lienert, Sebastian van der Wiel, Karin Joos, Fortunat Zscheischler, Jakob A climate database with varying drought‐heat signatures for climate impact modelling |
author_facet |
Tschumi, Elisabeth Lienert, Sebastian van der Wiel, Karin Joos, Fortunat Zscheischler, Jakob |
author_sort |
Tschumi, Elisabeth |
title |
A climate database with varying drought‐heat signatures for climate impact modelling |
title_short |
A climate database with varying drought‐heat signatures for climate impact modelling |
title_full |
A climate database with varying drought‐heat signatures for climate impact modelling |
title_fullStr |
A climate database with varying drought‐heat signatures for climate impact modelling |
title_full_unstemmed |
A climate database with varying drought‐heat signatures for climate impact modelling |
title_sort |
climate database with varying drought‐heat signatures for climate impact modelling |
publisher |
Wiley |
publishDate |
2021 |
url |
http://dx.doi.org/10.1002/gdj3.129 https://onlinelibrary.wiley.com/doi/pdf/10.1002/gdj3.129 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/gdj3.129 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/gdj3.129 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Antarc* Antarctica Greenland |
genre_facet |
Antarc* Antarctica Greenland |
op_source |
Geoscience Data Journal volume 9, issue 1, page 154-166 ISSN 2049-6060 2049-6060 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1002/gdj3.129 |
container_title |
Geoscience Data Journal |
container_volume |
9 |
container_issue |
1 |
container_start_page |
154 |
op_container_end_page |
166 |
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1800741143475912704 |