Published February 1, 2021
| Version 2.2.0
Dataset
Open
Data and scripts for the submission "A locally smoothed terrain-following vertical coordinate to improve the simulation of fog and low stratus in numerical weather prediction models"
Authors/Creators
- 1. ETH Zürich, MeteoSwiss
- 2. Vulcan Inc., MeteoSwiss
Description
Dataset and scripts used to generate Figures for "A locally smoothed terrain-following vertical coordinate to improve the simulation of fog and low stratus in numerical weather prediction models", submitted to the Journal of Advances in Modeling Earth Systems (JAMES).
Scripts: Python and NCL
Data: Netcdf, PNG, Python pickled objects
Notes
Files
2016122900_pay_sounding.txt
Files
(18.6 GB)
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md5:9f7ff877c71004a345b88b78b822b4d4
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9.0 GB | Download |
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md5:751250f317d2af4c3bcff01d42d8866f
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1.8 GB | Download |
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md5:8b53e8b7f95f9981b7e4563518cd294e
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1.8 GB | Download |
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md5:45934d06a8b38e3c714df52958390e7c
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1.8 GB | Download |
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md5:cbba0bb843e5fd7ced435ea0894a806c
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3.6 GB | Download |
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md5:a28d370f201de5b2a9e309a5533aadd1
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15.7 kB | Download |
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15.7 kB | Download |
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md5:831fcfa010e5fb10853451ea2dffe2d9
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169.4 MB | Download |
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md5:4b5275b6ad45e596dac20ba4260bcb42
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1.3 kB | Preview Download |
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md5:cbb9769140e06a609e50407cc4f3aeba
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18.3 kB | Download |
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md5:fd93c121a9e086a787193d3e24b704fe
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22.2 kB | Download |
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md5:19f57434c812ee8f23f75abe61d1126b
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43.2 kB | Download |