2026-04-30T02:20:17Zhttps://www.radar-service.eu/oai/OAIHandler10.35097/cMLguvOqjspbCtso2025-10-21T06:06:34ZIMKradar4kit
10.35097/cMLguvOqjspbCtso
Kumar, Pankaj
Pankaj
Kumar
0000-0003-0301-1357
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
Vogel, Heike
Heike
Vogel
0000-0003-0347-9347
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
Muth, Lisa Janina
Lisa Janina
Muth
0000-0003-3323-1553
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
Bruckert, Julia
Julia
Bruckert
0000-0003-2302-8383
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
Hoshyaripour, Gholam Ali
Gholam Ali
Hoshyaripour
0000-0001-7770-7838
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
MieAI: A neural network for calculating optical properties of internally mixed aerosol in atmospheric models
Karlsruhe Institute of Technology
2023-2024
2024
Environmental Science and Ecology
Mie calculation
optical properties of aerosols
MieAI
ICON-ART
Neural Network
Open Access
Creative Commons Attribution Non Commercial No Derivatives 4.0 International
Karlsruhe Institute of Technology
https://ror.org/04t3en479
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
12,8 GB
application/x-tar