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First 836 results for ”B Maronga”

1. Interpreting extreme climate impacts from large ensemble simulations—are they unseen or unrealistic?

   Large-ensemble climate model simulations can provide deeper understanding of the characteristics ...

   T Kelder, N Wanders, K van der Wiel, TI Marjoribanks, LJ Slater, RI Wilby, C Prudhomme | Journal: Environmental Research Letters | Volume: 17 | Year: 2022 | First page: 044052 | doi: 10.1088/1748-9326/ac5cf4

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2. Correlating Extremes in Wind Divergence with Extremes in Rain over the Tropical Atlantic

   Air–sea fluxes are greatly enhanced by the winds and vertical exchanges generated by mesoscale co...

   Gregory P King, Marcos Portabella, Wenming Lin, Ad Stoffelen | Journal: Remote Sensing | Volume: 14 | Year: 2022 | doi: https://doi.org/10.3390/rs14051147

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3. Analysis of Data-Derived SeaWinds Normalized Radar Cross-Section Noise

   The normalized standard deviation (Kp) of the noise that affects scatterometer Normalized Radar C...

   Giuseppe Grieco, Ad Stoffelen, Anton Verhoef, Jur Vogelzang, Marcos Portabella | Journal: Remote Sensing | Volume: 14 | Year: 2022 | doi: https://doi.org/10.3390/rs14215444

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4. Towards Quikscat-Derived Coastal Winds

   This paper presents the implementation of the Land Contribution Ratio (LCR) methodology for the p...

   Giuseppe Grieco, Marcos Portabella, Ad Stoffelen, Jur Vogelzang, Anton Verhoef | Journal: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS | Year: 2021 | doi: https://doi.org/10.1109/IGARSS47720.2021.9554946

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5. Characterizing Buoy Wind Speed Error in High Winds and Varying Sea State with ASCAT and ERA5

   Buoys provide key observations of wind speed over the ocean and are routinely used as a source of...

   Ethan E Wright, Mark A Bourassa, Ad Stoffelen, Jean-Raymond Bidlot | Journal: Remote Sensing | Volume: 13 | Year: 2021 | doi: https://doi.org/10.3390/rs13224558

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