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First 138 results for ” R Abida”

1. Validation of the TROPOMI/S5P Aerosol Layer Height using EARLINET lidars

   The purpose of this study is to investigate the ability of the Sentinel-5P TROPOspheric Monitorin...

   Michailidis, K., Koukouli, M.-E., Balis, D., Veefkind, P., de Graaf, M., Mona, L., Papagianopoulos, N., Pappalardo, G., Tsikoudi, I., Amiridis, V., Marinou, E., Gialitaki, A., Mamouri, R.-E., Nisantzi, A., Bortoli, D., João Costa, M., Salgueiro, V., Papayannis, A., Mylonaki, M., Alados-Arboledas, L., Romano, S., Perrone, M. R., and Baars | Journal: Atm. Chem. Phys. | Volume: acp-2022-412 | Year: 2022 | doi: https://doi.org/10.5194/acp-2022-412

   Publication

2. Evaluating Climate Models: The ARM Data-Oriented Metrics and Diagnostics Toolkit

   By exploiting molecular scattering in clear air, Aeolus addresses the increasing demand for ver...

   Ad Stoffelen, Angela Benedetti, Régis Borde, Alain Dabas, Pierre Flamant, Mary Forsythe, R Michael Hardesty, Lars Isaksen, Erland Källén, Heiner Körnich, Tsengdar Lee, Oliver Reitebuch, Michael Rennie, Lars-Peter Riishøjgaard, Harald Schyberg, Anne Grete Straume, Michael Vaughan | Journal: Bulletin of the American Meteorological Society | Volume: 102 | Year: 2021 | doi: https://doi.org/10.1175/BAMS-D-18-0202.A

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3. Improved Rain Screening for Ku-Band Wind Scatterometry

   Spaceborne scatterometers for ocean surface winds usually operate in Ku- or C-band. Rather strict...

   Xingou Xu, Ad Stoffelen | Journal: IEEE Transactions on Geoscience and Remote sensing | Volume: 58 | Year: 2019 | doi: https://doi.org/10.1109/TGRS.2019.2951726

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4. Bayesian Algorithm for Rain Detection in Ku-Band Scatterometer Data

   Ku-band scatterometers are sensitive to rain effects due to their centimeter-scale radar waveleng...

   Zhao, K., A. Stoffelen, J. Verspeek, A. Verhoef and C. Zhao | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 61 | Year: 2023 | doi: 10.1109/TGRS.2023.3264245

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5. Evaluation of global simulations of aerosol particle number and cloud condensation nuclei, and implications for cloud droplet formation

   A total of 16 global chemistry transport models and general circulation models have participated ...

   G Fanourgakis, M Kanakidou, A Nenes, SE Bauer, T Bergman, KS Carslaw, A Grini, DS Hamilton, JS Johnson, VA Karydis, A Kirkevåg, JK Kodros, U Lohmann, G Luo, R Makkonen, H Matsui, D Neubauer, JR Pierce, J Schmale, P Stier, K Tsigaridis, T van Noije, H Wang, D Watson-Parris, DM Westervelt, Y Yang, M Yoshioka, N Daskalakis, S Decesari, M Gysel-Beer, N Kalivitis, X Liu, NM Mahowald, S Myriokefalitakis, R Schrödner, M Sfakianaki, AP Tsimpidi, M Wu, M., F Yu | Status: published | Journal: Atmos. Chem. Phys. | Volume: 19 | Year: 2019 | First page: 8591 | Last page: 8617 | doi: 10.5194/acp-19-8591-2019

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