Data from the study on the influence of parameterised shallow convection on trade-wind clouds and circulations in the HARMONIE-AROME mesoscale model

doi:10.4121/d61e2238-b969-45e1-8649-62197f30025a.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/d61e2238-b969-45e1-8649-62197f30025a
Datacite citation style:
Savazzi, Alessandro; de Rooy, Wim (2024): Data from the study on the influence of parameterised shallow convection on trade-wind clouds and circulations in the HARMONIE-AROME mesoscale model. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/d61e2238-b969-45e1-8649-62197f30025a.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Delft University of Technology logo
geolocation
EUREC4A campaign (East of Barbados)
lat (N): +13.28
lon (E): -57.76
view on openstreetmap
time coverage
Jan-1st to Feb-29th 2020
licence
cc-by-sa.png logo CC BY-SA 4.0

Simulations of the EUREC4A campaign with three setups of the regional numerical weather prediction model HARMONIE-HAROME (version cy43).

i) an experiment with fully parameterised transport of heat, moisture and momentum by shallow convection (noHGTQS),

ii) an experiment without momentum transport by shallow convection (noHGTQS_noUVmis),

iii) an experiment without any transport by shallow convection, turning off the SCP altogether (noHGTQS_noSHAL).

All experiments have a horizontal grid spacing of 2.5 km, in an area of 3200 km x 2025 km centred at 13.28 N and 57.76 W, and run in a free (climate) mode from Jan-1st to Feb-29th 2020. The dataset covers 2 months. The model receives lateral boundary fields from ERA5 every hour and the SST is updated every 24 hours.

This dataset includes separate files for January and February.

For each month bot 2d fields and 3d fields are available over a study region of 200km x 200km .

history
  • 2024-10-31 first online, published, posted
publisher
4TU.ResearchData
format
.nc
funding
  • CMTRACE (grant code VI.Vidi.192.050) NWO
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing;
Royal Netherlands Meteorological Institute (KNMI)

DATA

files (1)