WAM2layers preprocessed data from 01-01-1941 until 31-10-2024
DOI:10.4121/00f7fa45-899e-4573-ae23-234f6c5193d0.v2
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DOI: 10.4121/00f7fa45-899e-4573-ae23-234f6c5193d0
DOI: 10.4121/00f7fa45-899e-4573-ae23-234f6c5193d0
Datacite citation style
Bakels, Lucie; van der Ent, R.J. (Ruud); Wang-Erlandsson, Lan; Kalverla, Peter (2025): WAM2layers preprocessed data from 01-01-1941 until 31-10-2024. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/00f7fa45-899e-4573-ae23-234f6c5193d0.v2
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Dataset
Version 2 - 2025-09-08 (latest)
Version 1 - 2025-08-21
Categories
Geolocation
near global
lat (N): 75S - 75N
lon (E): 180W - 179.5E
Time coverage 01-01-1941 until 31-10-2024
Licence CC BY 4.0
Interoperability
This is modified atmospheric reanalysis data derived from ERA5 (ECMWF) at 0.5x0.5 degree resolution and hourly time steps.
The data is generated by the preprocessing step of the moisture tracking model WAM2layers v3. Using this dataset gives users the possibility skip this data-intensive and time-consuming first step and immediately proceed with actual moisture tracking with WAM2layers v3 to determine moisture transport in the atmosphere.
Besides the actual preprocessed data, the data also contains the scripts that were used to download and process the original data.
History
- 2025-08-21 first online
- 2025-09-08 published, posted
Publisher
4TU.ResearchDataFormat
netcdfAssociated peer-reviewed publication
WAM2layersReferences
Derived from
Funding
- 4TU.ResearchData FAIR Data Fund
- Formas ReForMit (grant code 2023-00321) Formas
Organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Water Management;Stockholm University;
Netherlands eScience Center
DATA
OPeNDAP data service
Files (7)
- 5,797 bytesMD5:
bf888fdb6aab1b6e3f721feecd89f3f1README.md - 1,228 bytesMD5:
61c3af2739ac9fd80a43905064d1b56bconfig_preprocessing.yaml - 8,867 bytesMD5:
c28c54efc2e0f702003df79c1fdb17c5download_arco.py - 8,101 bytesMD5:
9bf42cc6faa30ebf9dee757677cc6a37download_era5_sfc.py - 6,476 bytesMD5:
f701b26087642aba347bbabb6cbad852download_era5_sfc_inst.py - 833 bytesMD5:
df070a4b82e998aa76bac43e0012f65bsubmit_download_arco_all - 484 bytesMD5:
a87424ab37cba24117e8df6a9a87d260submit_download_sfc -
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