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First 4322 results for ” and Läslo Evers”

  1. Combined wind lidar and cloud radar for high-resolution wind profiling

    This paper introduces an experimental setup for retrieving horizontal wind speed and direction pr...

    José Dias Neto, Louise Nuijens, Christine Unal, and Steven Knoop | Journal: Earth Syst. Sci. Data | Volume: 15 | Year: 2023 | First page: 769 | Last page: 789 | doi: https://doi.org/10.5194/essd-15-769-2023

    Publication

  2. Self-supervision, remote sensing and abstraction: representation learning across 3 million locations

    Self-supervision based deep learning classification approaches have received considerable attenti...

    Sachith Seneviratne, Kerry A. Nice, Jasper S. Wijnands, Mark Stevenson, Jason Thompson | Journal: Digital Image Computing: Techniques and Applications (DICTA) | Year: 2022 | doi: https://doi.org/10.1109/DICTA52665.2021.9647061

    Publication

  3. The impact of the COVID-19 pandemic on air pollution: A global assessment using machine learning techniques

    In response to the COVID-19 pandemic, most countries implemented public health ordinances that re...

    Jasper S. Wijnands, Kerry A. Nice, Sachith Seneviratne, Jason Thompson, Mark Stevenson | Journal: Atmospheric Pollution Research | Volume: 13 | Year: 2022 | doi: https://doi.org/10.1016/j.apr.2022.101438

    Publication

  4. Defining aerosol layer height for UVAI interpretation using aerosol vertical distributions characterized by MERRA-2

    Aerosol vertical distributions are important for aerosol radiative forcing assessments and atmosp...

    J. Sun, J.P. Veefkind, P. van Velthoven, L.G. Tilstra, J. Chimot, S. Nanda, P.F. Levelt | Journal: Atmospheric Chemistry and Physics | Year: 2020 | doi: https://doi.org/10.5194/acp-2020-39

    Publication

  5. Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks

    This paper reports on consolidated ground-based validation results of the atmospheric NO2 data pr...

    Verhoelst, T., Compernolle, S., Pinardi, G., Lambert, J.-C., Eskes, H. J., Eichmann, K.-U., Fjæraa, A. M., Granville, J., Niemeijer, S., Cede, A., Tiefengraber, M., Hendrick, F., Pazmiño, A., Bais, A., Bazureau, A., Boersma, K. F., Bognar, K., Dehn, A., Donner, S., Elokhov, A., Gebetsberger, M., Goutail, F., Grutter de la Mora, M., Gruzdev, A., Gratsea, M., Hansen, G. H., Irie, H., Jepsen, N., Kanaya, Y., Karagkiozidis, D., Kivi, R., Kreher, K., Levelt, P. F., Liu, C., Müller, M., Navarro Comas, M., Piters, A. J. M., Pommereau, J.-P., Portafaix, T., Prados-Roman, C., Puentedura, O., Querel, R., Remmers, J., Richter, A., Rimmer, J., Rivera Cárdenas, C., Saavedra de Miguel, L., Sinyakov, V. P., Stremme, W., Strong, K., Van Roozendael, M., Veefkind, J. P., Wagner, T., Wittrock, F., Yela González, M., and Zehner, C. | Status: accepted | Journal: Atmos. Meas. Tech. | Volume: 14 | Year: 2021 | First page: 481 | Last page: 510 | doi: 10.5194/amt-14-481-2021

    Publication