ICON NARVAL simulation over the tropical Atlantic for the ATL, BAR and AMA subdomains, the simulation day is 2013-12-01, extracted from NARVAL1 simulations

• Main Author: Rochetin, Nicolas
• Format: Dataset
• Language: English
• Published: World Data Center for Climate (WDCC) at DKRZ 2021
• Subjects: Climate; NARVAL; narval
• Online Access: https://dx.doi.org/10.26050/wdcc/narval1; http://cera-www.dkrz.de/WDCC/ui/Compact.jsp?acronym=Narval1

Project: Next-generation Aircraft Remote Sensing for Validation - The flight campaign has been performed in the Tropical Atlantic Ocean in August 2016 and the related simulations are performed with ICON model in CRM mode (2.375 km resolution), more details are provided in Klocke, D., Brueck, M., Hohenegger, C., & Stevens, B. (2017). Rediscovery of the doldrums in storm-resolving simulations over the tropical Atlantic. Nature Geoscience, 10 (12), 891 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.