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First 537 results for ” S Ferrachat”

1. Towards Quantifying the Uncertainty in Estimating Observed Scaling Rates

   Short-duration precipitation extremes (PE) increase at a rate of around 7%/K explained by the Cla...

   Haider Ali  , Hayley J. Fowler , David Pritchard, Geert Lenderink , Stephen Blenkinsop, and Elizabeth Lewis | Journal: Geophysical Research Letters | Year: 2022 | doi: 10.1029/2022GL099138

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2. On High and Extreme Wind Calibration Using ASCAT

   Accurate high and extreme sea surface wind observations are essential for the meteorological, oce...

   Federica Polverari, Marcos Portabella, Wenming Lin, Joseph W Sapp, Ad Stoffelen, Zorana Jelenak, Paul S Chang | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 60 | Year: 2021 | doi: https://doi.org/10.1109/TGRS.2021.3079898

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3. Future Space-Based Doppler Wind Lidar Winds

   The unique European Space Agency (ESA) Earth Explorer Aeolus Doppler Wind Lidar (DWL) is a succes...

   Ad Stoffelen, Gert-Jan Marseille, Tommaso Parinello, Oliver Reitebuch, Michael Rennie, Anne Grete Straume | Journal: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS | Year: 2021 | doi: https://doi.org/10.1109/IGARSS47720.2021.9554250

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4. An SST‐dependent K u‐band geophysical model function for R apid S cat

   A new Ku-band geophysical model function (GMF), which includes sea surface temperature (SST) depe...

   Zhixiong Wang, Ad Stoffelen, Chaofang Zhao, Jur Vogelzang, Anton Verhoef, Jeroen Verspeek, Mingsen Lin, Ge Chen | Journal: Journal of Geophysical Research: Oceans | Volume: 122 | Year: 2017 | doi: https://doi.org/10.1002/2016JC012619

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5. Improving precipitation nowcasting for high-intensity events using deep generative models with balanced loss and temperature data: A case study in the Netherlands

   Precipitation nowcasting is essential for weather-dependent decision-making, but it remains a cha...

   Charlotte Cambier van Nooten, Koert Schreurs, Jasper S. Wijnands, Hidde Leijnse, Maurice Schmeits, Kirien Whan, Yuliya Shapovalova | Journal: Artificial Intelligence for the Earth Systems | Volume: 2 | Year: 2023 | First page: 1 | Last page: 16 | doi: https://doi.org/10.1175/AIES-D-23-0017.1

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