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First 1841 results for ”j Bessembinder”

  1. The ASCAT 6.25-km wind product

    The advanced scatterometer (ASCAT) wind data processor (AWDP) produces ocean surface vector winds...

    J Vogelzang, A Stoffelen, RD Lindsley, A Verhoef, J Verspeek | Status: accepted | Journal: IEEE Journal of Selected Topics in Applied Earth O | Year: 2016 | doi: 10.1109/JSTARS.2016.2623862

    Publication

  2. ERAstar: A High-Resolution Ocean Forcing Product

    To address the growing demand for accurate high-resolution ocean wind forcing from the ocean mode...

    A Trindade, M Portabella, ACM Stoffelen, W Lin, AH Verhoef | Status: published | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 58 | Year: 2020 | First page: 1337 | Last page: 1347 | doi: 10.1109/TGRS.2019.2946019

    Publication

  3. Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index

    The absorbing aerosol index (AAI) is a qualitative parameter directly calculated from satellite-m...

    J Sun, JP Veefkind, PFJ van Velthoven, PF Levelt | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 11 | Year: 2018 | First page: 5261 | Last page: 5277 | doi: 10.5194/amt-11-5261-2018

    Publication

  4. Quantification of uncertainty in aerosol optical thickness retrieval arising from aerosol microphysical model and other sources, applied to Ozone Monitoring Instrument (OMI) measurements

    A Määttä, M Laine, J Tamminen, JP Veefkind | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 7 | Year: 2014 | First page: 1185 | Last page: 1199 | doi: 10.5194/amt-7-1185-2014

    Publication

  5. Aerosol Absorption over Land Derived from the Ultra-Violet Aerosol Index by Deep Learning.

    Quantitative measurements of aerosol absorptive properties, e.g., the absorbing aerosol optical d...

    J. Sun, P. Veefkind, P. Van Velthoven, P. Levelt | Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | Volume: 14 | Year: 2021 | First page: 9692 | Last page: 9710 | doi: 10.1109/JSTARS.2021.3108669

    Publication