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Showing 1 to 3 of 3 for “"aerosol retrieval"”.

  1. ASSESSING PERFORMANCE OF NCEP RAPID REFRESH MODEL TO PREDICT BOUNDARY LAYER PROPERTIES

    … Layer (PBL) since relative humidity can affect aerosol retrieval. Satellite retrievals of Relative Humidity are extremely complicated since they need to resolve 1km vertical resolution for temperature and water vapor. The AIRS hyperspectral sensor may be able to retrieve relative humidity with …

    cuny Repository record for ASSESSING PERFORMANCE OF NCEP RAPID REFRESH MODEL TO PREDICT BOUNDARY LAYER PROPERTIES (opens in a new tab)

  2. Three-dimensional radiative transfer with machine learning: emulation and insights from aerosol observations

    … second part, we apply a machine learning–based aerosol retrieval method developed by Yang et al. (2022), which accounts for 3D cloud radiative effects to enable accurate near-cloud retrievals, to investigate aerosol–cloud–radiation interactions using passive satellite observations. Specifically, …

    colostate Repository record for Three-dimensional radiative transfer with machine learning: emulation and insights from aerosol observations (opens in a new tab)

  3. Applications of Deep Learning, Machine Learning, and Remote Sensing to Improving Air Quality and Solar Energy Production

    … urban heterogeneity of operating conditions and aerosol optical properties, and the stability of low-cost sensors can drift or degrade over time. This work presents a simultaneous Gaussian Process regression (GPR) and simple linear regression pipeline to calibrate and monitor dense WLPMSNs on the …

    duke Repository record for Applications of Deep Learning, Machine Learning, and Remote Sensing to Improving Air Quality and Solar Energy Production (opens in a new tab)