Published June 26, 2024
| Version v1
Dataset
Open
Ozone 3D field from IRS assimilation run - June 2019
Authors/Creators
-
1.
Centre National de Recherches Météorologiques
Description
In the frame of Vittorioso's PhD, an Observing System Simulation Experiment has bee set up to evaluate the future benefit of the geostationary IRS sounder on ozone field over Europe. The full set-up is composed of a Nature Run (reality), a Control Run (no assimilation) and an Assimilation Run (assimilation or IRS) over the months June to August 2019.
This dataset is Ozone 3D field from the assimilation run for June 2019. One file per day including hourly fields.
Files
Files
(34.6 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:4bf6f6ac4459ecebcd0be6f6d106db17
|
1.1 GB | Download |
|
md5:b560b3f9877460d486fb6f7d6c8954f2
|
1.1 GB | Download |
|
md5:0bb2b6dbe57594eee7575c87fd7dc0f9
|
1.1 GB | Download |
|
md5:6e85dda0561c4f0123c29889bf5fd02d
|
1.2 GB | Download |
|
md5:f6cabe075706545f4a1c753bd34b1bc2
|
1.2 GB | Download |
|
md5:377fb275a23aebbbeb6f2d32905ac7b1
|
1.2 GB | Download |
|
md5:1d5aea6edb64e0f1770440f546593520
|
1.2 GB | Download |
|
md5:ec7dc43b8ba78aad50aa0e81f1859de1
|
1.2 GB | Download |
|
md5:d4fcfb63f6ecb73e84a918abb6d5474d
|
1.2 GB | Download |
|
md5:ac0683d2ace45af104499d5080a7189d
|
1.2 GB | Download |
|
md5:7fc0740baa9626de518f88381936405e
|
1.2 GB | Download |
|
md5:d00d033019c52d1cb97ab2c625c7d9aa
|
1.2 GB | Download |
|
md5:7a25ea30c82be03c62d4e5ad0755afce
|
1.2 GB | Download |
|
md5:08ec89b5a78f9a7cced90613bc4d1839
|
1.2 GB | Download |
|
md5:0f29e1701d42e3d65c8adce36f2ad881
|
1.2 GB | Download |
|
md5:58cf41065bc8ece92006425f28121301
|
1.1 GB | Download |
|
md5:bb7ed05b82b0a8901006d04c149152e0
|
1.1 GB | Download |
|
md5:04c30c713092aa56d58dbf3e45bb91cc
|
1.2 GB | Download |
|
md5:411894826371b9c01a3ce71323683529
|
1.2 GB | Download |
|
md5:8b5c70ee8be4ef59c36dafa250787bfe
|
1.2 GB | Download |
|
md5:2ee5c8c8961430feb7ef96d29fdbb287
|
1.2 GB | Download |
|
md5:953c7a6aaa308bec9ee02722795bfe23
|
1.1 GB | Download |
|
md5:51794a53f93e7b35c1bfdb12dc668248
|
1.1 GB | Download |
|
md5:50a7c9a49f65c176212e2bde8b3c38b5
|
1.2 GB | Download |
|
md5:83db948ee84dcadc754f38bc56094595
|
1.2 GB | Download |
|
md5:4b9a4c49085282c06ac7e55033246ea5
|
1.2 GB | Download |
|
md5:8dea575b03ac76de2f0d37f48efb1d7e
|
1.1 GB | Download |
|
md5:6a33c79140a5a95c4bd0cfe44d6dd38d
|
1.1 GB | Download |
|
md5:bb15aa790d4e9c568aa57c5b0eb6779a
|
1.1 GB | Download |
|
md5:7325e3a4d2d6f3c6c4cc4d399b28d989
|
1.1 GB | Download |
Additional details
Related works
- Is part of
- Thesis: https://theses.fr/2023TOU30095 (URL)
Funding
- Thales (France)
- Doctoral Grant 2019-2023
- Météo-France
- Doctoral grant 2019-2023