2026-10-13T11:19:30Zhttps://www.radar-service.eu/oai/OAIHandler

10.35097/11172026-10-09T10:48:48Zradar4kit

https://dx.doi.org/10.35097/1117 Hoose, Corinna Karrer, Markus Barthlott, Christian Cloud top phase distributions of simulated deep convective clouds Karlsruhe Institute of Technology 2023 Geological Science dataset Dataset info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Cloud variables of the warm bubble and semi-idealized simulations at hourly resolution, plus eight sensitivity experiments for the semi-idealized setup. Variable descriptions and units are given in the headers of the netcdf files. The naming of the folders corresponding to the sensitivity runs is as follows: semi_ideal_noicemult, semi_ideal_N0_x_0p01, semi_ideal_N0_x_0p1, semi_ideal_N0_x_10,semi_ideal_N0_x_100, semi_ideal_N0_x_1000, semi_ideal_T_2K, semi_ideal_TD_2K contain model output of the sensitivity runs with switched off ice multiplication, scaled heterogeneous ice formation by 0.01, 0.1, 10, 100 and 1000 and an increase in the near-surface temperature or the dewpoint temperature in the boundary layer by 2 K each, respectively. For data with higher time resolution, please contact the authors. 10.5445/IR/1000082997 KITopen-DOI application/x-tar