English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Evaluating large-domain, hecto-meter, large-eddy simulations of trade-wind clouds using EUREC4A data

MPS-Authors
/persons/resource/persons224557

Schulz,  Hauke
Tropical Cloud Observations, The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society;
University of Washington;

/persons/resource/persons37347

Stevens,  Bjorn       
Director’s Research Group AES, The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Supplementary Material (public)
There is no public supplementary material available
Citation

Schulz, H., & Stevens, B. (2023). Evaluating large-domain, hecto-meter, large-eddy simulations of trade-wind clouds using EUREC4A data. Journal of Advances in Modeling Earth Systems, 15: e2023MS003648. doi:10.1029/2023MS003648.


Cite as: https://hdl.handle.net/21.11116/0000-000C-81AE-E
Abstract
The meso-scale variability in cloudiness of the marine trade-wind layer is explored with large-eddy simulations of regional extent and validated against observations of the EUREC4A field campaign. 41 days of realistically forced simulations present a representative, sta- tistical view on shallow convection in the winter North Atlantic trades that includes a wide range of meso-scale variability including the four recently identified patterns of spa- tial organization: Sugar , Gravel , Flowers and Fish . The results show that cloud cover is on average captured well but with discrepancies in its vertical and spatial distribution. Cloudiness at the lifting condensation level depends on the model resolution with the finer one producing on average a more realistic cloud profile. Independent of the reso- lution, the variability in cloudiness below the trade inversion is not captured, leading to a lack of stratiform cloudiness with implications on the detectability of meso-scale pat- terns whose cloud patches are characterized by stratiform clouds. The simulations tend to precipitate more frequently than observed, with a narrower distribution of echo in- tensities. The observed co-variability between cloudiness and environmental conditions is well captured.