ICON NARVAL simulation over the tropical Atlantic for the AFR subdomain, the simulation day is 2016-08-01, extracted from NARVAL2 simulations

doi:10.26050/WDCC/Narval2

Rochetin, Nicolas

ExperimentDOI
Summary
ICON 2.5 km simulations over the tropical Atlantic ([65W:15E],[10S:20N] for the months of December 2013 (NARVAL1 : 30 days) and August 2016 (NARVAL2 : 30 days).
The grid spacing, computed as the square root of the triangular grid cells, amounts to 2.5 km. In the vertical, a stretched vertical coordinate is used with 75 layers, whereby 12 layers are located in the first kilometer. The simulations are conducted for the months of December 2013 and July 2016. They are started every day at 00 UTC from the analysis of the European Centre for Medium-Range Weather Forecasts (ECMWF) and integrated for 36 hours. Boundary data are taken from the ECMWF forecasts and updated every 3 hours. At the bottom boundary, the Sea Surface Temperature (SST) is taken from the ECMWF analysis. It is kept fixed at its initial value during the 36-h integration period. The simulations were conducted using the ICOsahedral Non-hydrostatic (ICON) model (Zängl et al., 2015). Given the horizontal grid spacing, no convective parameterization is employed and convection is explicitly resolved by the bulk microphysics scheme that predicts cloud water, rain, snow, ice and graupel (Baldauf et al., 2011). The parameterizations for gravity wave drag and subgrid-scale orography are also switched off, otherwise the model employs the same parameterizations as the operational model version in use at the German Weather Service (DWD), see Zängl et al. (2015) and Klocke et al. (2017) for further details.
Project
NARVAL (Next-generation Aircraft Remote Sensing for Validation)
Contact
Teacher-Researcher Nicolas Rochetin (
 nicolas.rochetin@nulllmd.ipsl.fr
)
Spatial Coverage
Longitude -15 to 10 Latitude 10 to 15
Temporal Coverage
2016-08-01 to 2016-08-01 (calendrical)
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
18.54 GiB (19910132600 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2030-09-27
Cite as
Rochetin, Nicolas (2021). ICON NARVAL simulation over the tropical Atlantic for the AFR subdomain, the simulation day is 2016-08-01, extracted from NARVAL2 simulations. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/Narval2

BibTeX RIS
Description
To emphasize, the cloud cover scheme takes into account the subgrid variability of water and therefore the associated distribution in water vapor, cloud liquid water and cloud ice (optional 3D diagnostic output variables totqvdia,totqcdia,totqidia and their vertically integrated counterparts tqvdia, tqcdia,tqidia). They are not equal to their prognostic grid-scale equivalents (standard output variables qv,qc,qi), yet the sum of all three water quantities is kept the same. This cloud information is then passed to the radiation, where additional assumptions are made on the vertical overlap of clouds.
Model: ICON
Simulated times: Simulations were performed starting at 00 UTC for each day of December 2013 and of August 2016, corresponding to the period of field operations of NARVAL-1 and NARVAL-2. The simulations are initialized from the atmospheric analysis of the European Centre for Medium-Range Weather Forecasts (ECMWF), which is provided at a resolution of 13 km in 2013 and of 9.5 km in 2016. Each simulation is run for 36 h with boundary data interpolated from the coarser-resolution three-hourly ECMWF forecasts.
Resolution: Triangular grid with linear dimension of each grid cell of about 2.4km. The model top is at 30km and 75 vertical levels are used. Output-Intervalle: 1hr some 2D fields 30min.
Input data: atmospheric analysis of the European Centre for Medium-Range Weather Forecasts (ECMWF), which is provided at a resolution of 13 km in 2013 and of 9.5 km in 2016.
Description
Summary:
Findable: 6 of 7 level;
Accessible: 2 of 3 level;
Interoperable: 3 of 4 level;
Reusable: 5 of 10 level
Method
F-UJI online v2.2.1 automated
Method Description
Checks performed by WDCC. Metrics documentation: https://doi.org/10.5281/zenodo.4081213 Metric Version: metrics_v0.5
Method Url
Result Date
2022-12-06
Result Date
2021-01-14
Description
1. Number of data sets is correct and > 0: passed;
2. Size of every data set is > 0: passed;
3. The data sets and corresponding metadata are accessible: passed;
4. The data sizes are controlled and correct: passed;
5. The temporal coverage description (metadata) is consistent to the data: passed;
6. The format is correct: passed;
7. Variable description and data are consistent: passed
Method
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
Method Url
Result Date
2021-01-14
Contact typePersonORCIDOrganization
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Is documented by

[1] DOI Zängl, Günther; Reinert, Daniel; Rípodas, Pilar; Baldauf, Michael. (2014). The ICON (ICOsahedral Non-hydrostatic) modelling framework of DWD and MPI-M: Description of the non-hydrostatic dynamical core. doi:10.1002/qj.2378
[2] DOI Klocke, Daniel; Brueck, Matthias; Hohenegger, Cathy; Stevens, Bjorn. (2017). Rediscovery of the doldrums in storm-resolving simulations over the tropical Atlantic. doi:10.1038/s41561-017-0005-4

Attached Datasets ( 1 )

Details for selected entry
[Entry acronym: Narval2] [Entry id: 3880928]