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

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    Creator/Author:
    Kumar, Pankaj https://orcid.org/0000-0003-0301-1357 [Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany]

    Vogel, Heike https://orcid.org/0000-0003-0347-9347 [Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany]

    Muth, Lisa Janina https://orcid.org/0000-0003-3323-1553 [Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany]

    Bruckert, Julia https://orcid.org/0000-0003-2302-8383 [Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany]

    Hoshyaripour, Gholam Ali https://orcid.org/0000-0001-7770-7838 [Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany]
    Contributors:
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    Title:
    MieAI: A neural network for calculating optical properties of internally mixed aerosol in atmospheric models
    Additional titles:
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    Description:
    (Technical Info) Data used for training and validating MieAI model:
    (Other) - 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.
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    (Other) - icon-art-LAM_DOM01_ML_0023.nc is the ICON-ART output for Biomass case study
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    (Other) - Soufriere-April-2021-fplume-aerodyn-forecast_mode_DOM03_ML_0162.nc is the ICON-ART output for volcano case study
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    (Other) - icon-art-aging-aero_DOM01_ML_0022.nc is the ICON-ART output for dust case study
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    Keywords:
    Mie calculation
    optical properties of aerosols
    MieAI
    ICON-ART
    Neural Network
    Related information:
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    Language:
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    Publishers:
    Karlsruhe Institute of Technology
    Production year:
    Subject areas:
    Environmental Science and Ecology
    Resource type:
    Model
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    Name Storage Metadata Upload Action
    Status:
    Published
    Uploaded by:
    3cfe129fec2983739ba8a6da99ee126c
    Created on:
    Archiving date:
    2024-04-17
    Archive size:
    12.8 GB
    Archive creator:
    438cf144429e04bcd4395d892295bb1a
    Archive checksum:
    d9da679f785680c77a3dd73209f0becc (MD5)
    Embargo period:
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