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First 858 results for ” JC Calvet”

1. Constraining local ocean dynamic sea-level projections using observations

   The redistribution of ocean water volume under ocean–atmosphere dynamical processes results in se...

   Dewi Le Bars, Sybren Drijfhout, Iris Keizer | Journal: Ocean Science | Volume: 21 | Year: 2025 | First page: 1303 | Last page: 1314 | doi: https://doi.org/10.5194/os-21-1303-2025

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2. Improved consistency in solar-induced fluorescence retrievals from GOME-2A with the SIFTER v3 algorithm

   Space-based observations of solar-induced fluorescence (SIF) provide valuable insights into veget...

   Juliëtte C. S. Anema, K. Folkert Boersma, Lieuwe G. Tilstra, Olaf N. E. Tuinder, and Willem W. Verstraeten | Journal: Atmos. Meas. Tech. | Volume: 18 | Year: 2025 | doi: https://doi.org/10.5194/amt-18-1961-2025

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3. An algorithm for aerosol optical properties retrieval over the ocean accelerated by a neural network from single-view multispectral measurements of intensity and polarization

   Monitoring aerosols over the oceans is critical for understanding Earth’s climate and air quality...

   Zhe Ji, Zhengqiang Li; Cheng Fan; Cheng Chen; Zhenwei Qiu; Zhenhai Liu; Haoran Gu; Qian Yao; Gerrit de Leeuw | Journal: IEEE Transactions on Geoscience and Remote Sensing . | Volume: 63 | Year: 2025 | First page: 1 | Last page: 14 | doi: https://doi.org/10.1109/TGRS.2025.3630102

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4. 2Observation Representativeness Error

   NWP models simulate the atmospheric state on a given model grid, thereby principally limiting the...

   GJ Marseille, A Stoffelen | Year: 2012

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5. Aeolus lidar surface return (LSR) at 355 nm as a new Aeolus Level-2A product

   The Atmospheric Laser Doppler Instrument (ALADIN) aboard Aeolus was the first spaceborne high-reso...

   Lev D. Labzovskii, Gerd-Jan van Zadelhoff, David P. Donovan, Jos de Kloe, L. Gijsbert Tilstra, Ad Stoffelen, Damien Josset, and Piet Stammes | Journal: Atmos. Meas. Tech. | Volume: 17 | Year: 2024 | First page: 7183 | Last page: 7208 | doi: https://doi.org/10.5194/amt-17-7183-2024

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