Numerical weather simulation using COSMOiso over the tropical North Atlantic in January and February 2020 in the context of EUREC4A ...
This dataset includes three nested two-month simulations performed with the isotope-enabled regional numerical weather prediction model COSMOiso. The three simulations differ in terms of their domain over the western tropical North Atlantic and their spatial resolutions. The first simulation has a s...
Published in: | ICES Journal of Marine Science |
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ETH Zurich
2023
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Online Access: | https://dx.doi.org/10.3929/ethz-b-000584213 http://hdl.handle.net/20.500.11850/584213 |
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ftdatacite:10.3929/ethz-b-000584213 2024-04-28T08:30:04+00:00 Numerical weather simulation using COSMOiso over the tropical North Atlantic in January and February 2020 in the context of EUREC4A ... Villiger, Leonie Aemisegger, Franziska 2023 application/netcdf 5.8 TB https://dx.doi.org/10.3929/ethz-b-000584213 http://hdl.handle.net/20.500.11850/584213 en eng ETH Zurich stable water isotopes COSMOiso atmospheric water cycle numerical weather prediction models infoeu-repo/classification/ddc/500 Natural sciences FOS Natural sciences article Collection Research Data 2023 ftdatacite https://doi.org/10.3929/ethz-b-000584213 2024-04-02T12:32:08Z This dataset includes three nested two-month simulations performed with the isotope-enabled regional numerical weather prediction model COSMOiso. The three simulations differ in terms of their domain over the western tropical North Atlantic and their spatial resolutions. The first simulation has a spatial resolution of 0.1° (roughly 10 km) and 40 hybrid levels in the vertical. The second simulation has a spatial resolution of 0.05° (roughly 5 km) and 60 hybrid levels in the vertical. The third simulation has a spatial resolution of 0.01° (roughly 1 km) and 60 hybrid levels in the vertical. The first simulation takes its initial and lateral boundary conditions every 6 hours from the isotope-enabled global climate model ECHAM6-wiso. The 1-hourly outputs of the COSMOiso simulations provide a variety of environmental parameters, including the isotopic composition of water vapour, rain water, and cloud water, which allows for a detailed description of the subtropical atmospheric water cycle. ... Article in Journal/Newspaper North Atlantic DataCite Metadata Store (German National Library of Science and Technology) ICES Journal of Marine Science 65 3 311 317 |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
stable water isotopes COSMOiso atmospheric water cycle numerical weather prediction models infoeu-repo/classification/ddc/500 Natural sciences FOS Natural sciences |
spellingShingle |
stable water isotopes COSMOiso atmospheric water cycle numerical weather prediction models infoeu-repo/classification/ddc/500 Natural sciences FOS Natural sciences Villiger, Leonie Aemisegger, Franziska Numerical weather simulation using COSMOiso over the tropical North Atlantic in January and February 2020 in the context of EUREC4A ... |
topic_facet |
stable water isotopes COSMOiso atmospheric water cycle numerical weather prediction models infoeu-repo/classification/ddc/500 Natural sciences FOS Natural sciences |
description |
This dataset includes three nested two-month simulations performed with the isotope-enabled regional numerical weather prediction model COSMOiso. The three simulations differ in terms of their domain over the western tropical North Atlantic and their spatial resolutions. The first simulation has a spatial resolution of 0.1° (roughly 10 km) and 40 hybrid levels in the vertical. The second simulation has a spatial resolution of 0.05° (roughly 5 km) and 60 hybrid levels in the vertical. The third simulation has a spatial resolution of 0.01° (roughly 1 km) and 60 hybrid levels in the vertical. The first simulation takes its initial and lateral boundary conditions every 6 hours from the isotope-enabled global climate model ECHAM6-wiso. The 1-hourly outputs of the COSMOiso simulations provide a variety of environmental parameters, including the isotopic composition of water vapour, rain water, and cloud water, which allows for a detailed description of the subtropical atmospheric water cycle. ... |
format |
Article in Journal/Newspaper |
author |
Villiger, Leonie Aemisegger, Franziska |
author_facet |
Villiger, Leonie Aemisegger, Franziska |
author_sort |
Villiger, Leonie |
title |
Numerical weather simulation using COSMOiso over the tropical North Atlantic in January and February 2020 in the context of EUREC4A ... |
title_short |
Numerical weather simulation using COSMOiso over the tropical North Atlantic in January and February 2020 in the context of EUREC4A ... |
title_full |
Numerical weather simulation using COSMOiso over the tropical North Atlantic in January and February 2020 in the context of EUREC4A ... |
title_fullStr |
Numerical weather simulation using COSMOiso over the tropical North Atlantic in January and February 2020 in the context of EUREC4A ... |
title_full_unstemmed |
Numerical weather simulation using COSMOiso over the tropical North Atlantic in January and February 2020 in the context of EUREC4A ... |
title_sort |
numerical weather simulation using cosmoiso over the tropical north atlantic in january and february 2020 in the context of eurec4a ... |
publisher |
ETH Zurich |
publishDate |
2023 |
url |
https://dx.doi.org/10.3929/ethz-b-000584213 http://hdl.handle.net/20.500.11850/584213 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_doi |
https://doi.org/10.3929/ethz-b-000584213 |
container_title |
ICES Journal of Marine Science |
container_volume |
65 |
container_issue |
3 |
container_start_page |
311 |
op_container_end_page |
317 |
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1797588068519116800 |