Data underlying the publication: Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations ...
This dataset comprises 10,000 years of synthetic tropical cyclone tracks, meticulously generated using the Tropical Cyclone Wind Statistical Estimation Tool (TCWiSE) algorithm, as detailed in Nederhoff et al., 2021. Focused on the North Atlantic Ocean Basin, these tracks are constructed based on his...
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2024
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Online Access: | https://dx.doi.org/10.4121/78192fcc-8702-4355-96e1-a33c40a16a49.v2 https://data.4tu.nl/datasets/78192fcc-8702-4355-96e1-a33c40a16a49/2 |
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ftdatacite:10.4121/78192fcc-8702-4355-96e1-a33c40a16a49.v2 |
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ftdatacite:10.4121/78192fcc-8702-4355-96e1-a33c40a16a49.v2 2024-09-09T19:55:06+00:00 Data underlying the publication: Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations ... Nederhoff, Kees Hoek, Jasper van Ormondt, Maarten Caires, Sofia Giardino, Alessio Leijnse, Tim 2024 netCDF https://dx.doi.org/10.4121/78192fcc-8702-4355-96e1-a33c40a16a49.v2 https://data.4tu.nl/datasets/78192fcc-8702-4355-96e1-a33c40a16a49/2 en eng 4TU.ResearchData https://doi.org/10.5194/nhess-21-861-2021 https://dx.doi.org/10.5194/nhess-21-861-2021 https://doi.org/10.5194/nhess-21-861-2021 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 Civil Engineering FOS Civil engineering Natural Hazards Atmospheric Sciences FOS Earth and related environmental sciences Earth Sciences Engineering Environment Tropical Cyclones Synthetic Tracks North Atlantic Ocean Climate Modeling TCWiSE dataset Dataset 2024 ftdatacite https://doi.org/10.4121/78192fcc-8702-4355-96e1-a33c40a16a49.v210.5194/nhess-21-861-2021 2024-06-17T09:43:59Z This dataset comprises 10,000 years of synthetic tropical cyclone tracks, meticulously generated using the Tropical Cyclone Wind Statistical Estimation Tool (TCWiSE) algorithm, as detailed in Nederhoff et al., 2021. Focused on the North Atlantic Ocean Basin, these tracks are constructed based on historical data and designed to mirror the present-day climate conditions. The dataset offers a comprehensive and detailed simulation of tropical cyclone activity, serving as a valuable resource for climate research and analysis in the context of current climate patterns. ... Dataset North Atlantic DataCite |
institution |
Open Polar |
collection |
DataCite |
op_collection_id |
ftdatacite |
language |
English |
topic |
Civil Engineering FOS Civil engineering Natural Hazards Atmospheric Sciences FOS Earth and related environmental sciences Earth Sciences Engineering Environment Tropical Cyclones Synthetic Tracks North Atlantic Ocean Climate Modeling TCWiSE |
spellingShingle |
Civil Engineering FOS Civil engineering Natural Hazards Atmospheric Sciences FOS Earth and related environmental sciences Earth Sciences Engineering Environment Tropical Cyclones Synthetic Tracks North Atlantic Ocean Climate Modeling TCWiSE Nederhoff, Kees Hoek, Jasper van Ormondt, Maarten Caires, Sofia Giardino, Alessio Leijnse, Tim Data underlying the publication: Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations ... |
topic_facet |
Civil Engineering FOS Civil engineering Natural Hazards Atmospheric Sciences FOS Earth and related environmental sciences Earth Sciences Engineering Environment Tropical Cyclones Synthetic Tracks North Atlantic Ocean Climate Modeling TCWiSE |
description |
This dataset comprises 10,000 years of synthetic tropical cyclone tracks, meticulously generated using the Tropical Cyclone Wind Statistical Estimation Tool (TCWiSE) algorithm, as detailed in Nederhoff et al., 2021. Focused on the North Atlantic Ocean Basin, these tracks are constructed based on historical data and designed to mirror the present-day climate conditions. The dataset offers a comprehensive and detailed simulation of tropical cyclone activity, serving as a valuable resource for climate research and analysis in the context of current climate patterns. ... |
format |
Dataset |
author |
Nederhoff, Kees Hoek, Jasper van Ormondt, Maarten Caires, Sofia Giardino, Alessio Leijnse, Tim |
author_facet |
Nederhoff, Kees Hoek, Jasper van Ormondt, Maarten Caires, Sofia Giardino, Alessio Leijnse, Tim |
author_sort |
Nederhoff, Kees |
title |
Data underlying the publication: Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations ... |
title_short |
Data underlying the publication: Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations ... |
title_full |
Data underlying the publication: Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations ... |
title_fullStr |
Data underlying the publication: Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations ... |
title_full_unstemmed |
Data underlying the publication: Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations ... |
title_sort |
data underlying the publication: simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations ... |
publisher |
4TU.ResearchData |
publishDate |
2024 |
url |
https://dx.doi.org/10.4121/78192fcc-8702-4355-96e1-a33c40a16a49.v2 https://data.4tu.nl/datasets/78192fcc-8702-4355-96e1-a33c40a16a49/2 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
https://doi.org/10.5194/nhess-21-861-2021 https://dx.doi.org/10.5194/nhess-21-861-2021 https://doi.org/10.5194/nhess-21-861-2021 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.4121/78192fcc-8702-4355-96e1-a33c40a16a49.v210.5194/nhess-21-861-2021 |
_version_ |
1809924607377932288 |