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First 494 results for ” VK Semenov”

1. Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods

   This paper aims to improve short-term forecasting of clouds to accelerate the usability of solar ...

   Dennis Knol, Fons de Leeuw, Jan Fokke Meirink, Valeria V. Krzhizhanovskaya | Year: 2021

   Publication

2. Aerosol first indirect effect of African smoke at the cloud base of marine cumulus clouds over Ascension Island, southern Atlantic Ocean

   The interactions between aerosols and clouds are among the least understood climatic processes an...

   M. de Graaf, K. Sarna, J. Brown, E. V. Tenner, M. Schenkels and D. P. Donovan | Journal: ACP | Volume: 23 | Year: 2023 | First page: 5373 | Last page: 5391 | doi: 10.5194/acp-23-5373-2023

   Publication

3. Detection of aerosol and cloud features for the EarthCARE atmospheric lidar (ATLID): the ATLID FeatureMask (A-FM) product

   The EarthCARE satellite mission's objective is to retrieve profiles of aerosol and cloud physical...

   Gerd-Jan van Zadelhoff; David P. Donovan; Ping Wang | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | First page: 3631 | Last page: 3651 | doi: 10.5194/amt-16-3631-2023

   Publication

4. High sensitivity of Aeolus UV surface returns to surface reflectivity

   Global ultraviolet (UV) surface reflectivity climatologies are all composed from daylight passive...

   L. D. Labzovskii, G. J. van Zadelhoff, L. G. Tilstra, J. de Kloe, D. P. Donovan & A. Stoffelen | Journal: Nature scientific reports | Volume: 13 | Year: 2023 | First page: 17552 | doi: 10.1038/s41598-023-44525-5

   Publication

5. Application of Seismic Interferometry by Multidimensional Deconvolution to Earthquake Data Recorded in Malargüe, Argentina

   Seismic interferometry (SI) refers to the principle of generating new seismic responses using cro...

   Faezeh Shirmohammadi, Deyan Draganov, Mohammad RezaHatami and CornelisWeemstra | Journal: Remote Sensing | Volume: 13 | Year: 2021 | doi: https://doi.org/10.3390/rs13234818

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