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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| Main Authors: | , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
ETH Zurich
2023
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.3929/ethz-b-000584213 http://hdl.handle.net/20.500.11850/584213 |
| Summary: | 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. ... |
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