MieAI: A neural network for calculating optical properties of internally mixed aerosol in atmospheric models

DOI

Data used for training and validating MieAI model:

  • mie_x1.csv and mie_x2.csv are outputs from Mie calculation for size parameter0.5, 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

Identifier
DOI https://doi.org/10.35097/cMLguvOqjspbCtso
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.35097/cMLguvOqjspbCtso
Provenance
Creator Kumar, Pankaj ORCID logo; Vogel, Heike ORCID logo; Muth, Lisa Janina ORCID logo; Bruckert, Julia ORCID logo; Hoshyaripour, Gholam Ali ORCID logo
Publisher Karlsruhe Institute of Technology
Contributor RADAR
Publication Year 2024
Rights Open Access; Creative Commons Attribution Non Commercial No Derivatives 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
OpenAccess true
Representation
Resource Type Model
Format application/x-tar
Discipline Biospheric Sciences; Ecology; Geosciences; Natural Sciences
Temporal Coverage 2023-2024