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First 1926 results for ” Valeria V. Krzhizhanovskaya”

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. The validation of cloud retrieval algorithms using synthetic datasets

   We have performed the inter-comparison study of cloud property retrievals using algorithms initia...

   A Kokhanovsky, J Fischer, R Lindstrot, JF Meirink, et al. | Conference: Advances in Atmospheric Science and Applications | Place: Bruges (Belgium) | Year: 2012 | First page: 0 | Last page: 0

   Publication

3. Wind gustiness and wave growth

   We have analysed the consequences of wind gustiness on the growth of wind waves. Two mechanisms ...

   L Cavaleri, G Burgers | Year: 1992 | Pages: 62

   Publication

4. The determination of a cloud altitude using SCIAMACHY on board ENVISAT
   AA Kokhanovsky, VV Rozanov, W von Hoyningen-Huene, H Bovensmann, JP Burrows, H Klein Baltink | Status: published | Journal: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | Volume: 1 | Year: 2004 | First page: 211 | Last page: 214

   Publication

5. Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: development and distribution in EARLINET

   This paper presents a detailed description of LIRIC (LIdar-Radiometer Inversion Code) algorithm f...

   A Chaikovsky, O Dubovik, B Holben, A Bril, P Goulob, D Tanre, G Pappalardo, U Wandinger, L Chaikovskaya, S Denisov, J Gurdo, A Lopatin, Y Karol, A Apituley, V Amiridis | Status: published | Journal: Atmospheric Measurement Techniques | Year: 2016 | doi: 10.5194/amt-9-1181-2016

   Publication