cc-by-4.0Stordal, Frode2025-04-292023-11-112023-11-11https://datakatalogi.helsinki.fi/handle/123456789/5472Spatial source contribution and interannual variation in deposition of dust aerosols over the Chinese Loess Plateau Description: The data.zip file contains processed FLEXPART/FLEXDUST and ERA5 data. ERA5 is used for meteorological analysis. FLEXDUST is the dust emission inventory used for calculating the source contribution. Combined source contribution is separated for each receptor site. The "clay" suffix in the file name refers the fine dust size-bin, the "silt" suffix refers to the super-coarse size-bin. For more information look at the published manuscript. The MERRA2.zip contain the data used in the FLEXPART MERRA2 intercomparison. The complete 3hourly FLEXPART source contribution and Emissions sensitivity are available from the Norwegian research data archive (DOI: 10.11582/2023.00135). The simulated FLEXDUST 3 hourly dust emission are also available from the Norwegian research data archive (DOI: 10.11582/2023.00134) Data Format: NetCDF4, CSV Usage Notes: The content of the zip file is used to generate the figures shown in Haugvaldstad et al 2023. To processes and recreate the figures in the manuscript there is a provided docker image that can be pulled with the following command: docker pull ovewh/thesisdocker:build1.1.8. More info here.  The following GitHub repositories are used to analyse and plot the data, if the docker image is used codes should be downloaded automatically.  Snakemake workflow: https://github.com/MasterOnDust/AGU_JGR_CLP_SOURCE_WORKFLOW/tree/AGU-Haugvaldstad-et-al-2023 Python library with plotting functionality and analysis utilities: https://github.com/MasterOnDust/Thesis_toolbox/tree/AGU-Haugvaldstad-et-al-2023 Python library for trajectory analysis: https://github.com/MasterOnDust/flexpart_cluster/tree/AGU-Haugvaldstad-et-al-2023 Python library for reading and post processing for FLEXPART and FLEXDUST raw output: https://github.com/MasterOnDust/DUST/tree/AGU-Haugvaldstad-et-al-2023FLEXPARTDust ModellingClimatedataset