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First 710 results for ” J Attema”

1. Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method

   The Fine Mode Fraction (FMF) of atmospheric aerosol is very important for environment and climate...

   X Chen, G de Leeuw, A Arola, S Liu, Y Liu, K Zhang | Status: published | Journal: Remote Sens. Environ. | Volume: 247 | Year: 2020 | First page: 1 | Last page: 16 | doi: https://doi.org/10.1016/j.rse.2020.112006

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2. A global assessment of forest surface albedo and its relationships with climate and atmospheric nitrogen deposition

   We present a global assessment of the relationships between the short-wave surface albedo of fore...

   S Leonardi, F Magnani, A Nolè, TPC van Noije, M Borghetti | Status: published | Journal: Glob. Change Biol. | Volume: 21 | Year: 2015 | First page: 287 | Last page: 298 | doi: 10.1111/gcb.12681

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3. Support vector machine tropical wind speed retrieval in the presence of rain for Ku-band wind scatterometry

   Wind retrieval parameters, i.e. quality indicators and the two-dimensional variational ambiguity ...

   Xingou Xu, Ad Stoffelen | Journal: Atmospheric Measurement Techniques | Volume: 14 | Year: 2021 | doi: https://doi.org/10.5194/amt-14-7435-2021

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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

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5. Toward an Improved Wind Inversion Algorithm for RapidScat

   The sea-surface winds from the RapidScat scatterometer (RSCAT) onboard the International Space St...

   Wenming Lin, Marcos Portabella, Ad Stoffelen, Anton Verhoef | Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | Volume: 10 | Year: 2017 | doi: https://doi.org/10.1109/JSTARS.2016.2616889

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