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First 1717 results for ” Guido Colangeli”

1. 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

2. EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product

   We present the evaluation activity of the European Aerosol Research Lidar Network (EARLINET) for ...

   E Proestakis, V Amiridis, I Binietoglou, E Marinoe, A Ansmann, U Wandinger, J Hofer, J Yorks, E Nowottnick, A Makhmudov, A Papayannis, A Pietruczuk, A Galitaki, A Apituley | Status: published | Journal: Atm. Chem. Phys. | Year: 2019 | doi: https://doi.org/10.5194/acp-19-11743-2019

   Publication

3. A climatological benchmark for operational radar rainfall bias reduction

   The presence of significant biases in real-time radar quantitative precipitation estimations (QPE...

   Ruben Imhoff, Claudia Brauer, Klaas-Jan van Heeringen, Hidde Leijnse, Aart Overeem, Albrecht Weerts, Remko Uijlenhoet | Journal: Hydrology and Earth System Sciences | Volume: 25 | Year: 2021 | doi: 10.5194/hess-25-4061-2021

   Publication

4. Validation of SO2 retrievals from the Ozone Monitoring Instrument over NE China
   NA Krotkov, B McClure, RR Dickerson, SA Carn, C Li, PK Bhartia, K Yang, AJ Krueger, Z Li, PF Levelt, H Chen, P Wang, D Lu | Status: published | Journal: J. Geophys. Res. | Volume: 113 | Year: 2008 | doi: 10.1029/2007JD008818

   Publication

5. FY-4A/AGRI Aerosol Optical Depth Retrieval Capability Test and Validation Based on NNAeroG

   The Advanced Geostationary Radiation Imager (AGRI) is one of the main imaging sensors on the Feng...

   Ding, H., L. Zhao, S. Liu, X. Chen, G. de Leeuw, F. Wang, F. Zheng, Y. Zhang, J. Liu, J. Li, L. She, Y. Si, X. Gu. | Journal: Remote Sensing | Volume: 14 | Year: 2022 | First page: 5591 | doi: https://doi.org/10.3390/rs14215591

   Publication