2026-10-11T16:41:48Zhttps://www.radar-service.eu/oai/OAIHandler

10.35097/cMLguvOqjspbCtso2026-10-09T10:44:34ZIMKradar4kit

https://dx.doi.org/10.35097/cMLguvOqjspbCtso Kumar, Pankaj Vogel, Heike Muth, Lisa Janina Bruckert, Julia Hoshyaripour, Gholam Ali MieAI: A neural network for calculating optical properties of internally mixed aerosol in atmospheric models Karlsruhe Institute of Technology 2024 Environmental Science and Ecology dataset Model info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode Data used for training and validating MieAI model: - mie_x1.csv and mie_x2.csv are outputs from Mie calculation for size parameter<0.5 and size parameter>0.5, respectively. In both files, the columns are aerosol optical properties and physical characteristics of aerosol. The row represent different samples from Mie calculations. - icon-art-LAM_DOM01_ML_0023.nc is the ICON-ART output for Biomass case study - Soufriere-April-2021-fplume-aerodyn-forecast_mode_DOM03_ML_0162.nc is the ICON-ART output for volcano case study - icon-art-aging-aero_DOM01_ML_0022.nc is the ICON-ART output for dust case study Mie calculation optical properties of aerosols MieAI ICON-ART Neural Network application/x-tar