Search results

First 1789 results for ” Christian Retscher”

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. In-operation field-of-view retrieval (IFR) for satellite and ground-based DOAS-type instruments applying coincident high-resolution imager data

   This paper presents an independent, simple and robust method to retrieve the FOV of an instrument...

   H Sihler, P Lübcke, R Lang, S Beirle, M de Graaf, C Hörmann, J Lampel, M Penning de Vries, J Remmers, E Trollope, Y Wang | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 10 | Year: 2017 | First page: 881 | Last page: 903 | doi: 10.5194/amt-10-881-2017

   Publication

3. Total ozone column derived from GOME And SCIAMACHY using KNMI retrieval algorithms: validation against brewer measurements at the Iberian Peninsula
   M Anton, M Kroon, JM Vilaplana, M Banon, RJ van der A, JP Veefkind, P Stammes, L Alados-Arboledas | Status: published | Journal: J. Geophys. Res. | Volume: 116 | Year: 2011 | doi: 10.1029/2011JD016436

   Publication

4. Improving algorithms and uncertainty estimates for satellite NO2 retrievals: results from the quality assurance for the essential climate variables (QA4ECV) project

   Global observations of tropospheric nitrogen dioxide (NO2) columns have been shown to be feasible...

   KF Boersma, HJ Eskes, A Richter, I De Smedt, A Lorente, JHGM van Geffen, M Zara, RJ van der A | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 11 | Year: 2018 | First page: 6651 | Last page: 6678 | doi: https://doi.org/10.5194/amt-11-6651-2018

   Publication

5. Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method

   The Fine Mode Fraction (FMF) of atmospheric aerosol is very important for environment and climate...

   X Chen, G de Leeuw, A Arola, S Liu, Y Liu, K Zhang | Status: published | Journal: Remote Sens. Environ. | Volume: 247 | Year: 2020 | First page: 1 | Last page: 16 | doi: https://doi.org/10.1016/j.rse.2020.112006

   Publication