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First 4175 results for ” E. Fluck and C. Zehner and C. Retscher”

1. Aerosol Optical Depth and Cloud Parameters from Ascension Island retrieved with a UV-depolarisation Lidar : An outlook on the validation

   Aerosol-Cloud Interactions (ACIs) are one of the least understood climate feedbacks. Ground-based...

   M. Schenkels | Year: 2018 | Pages: 81

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2. Systematic recovery of instrumental timing and phase errors using interferometric surface-waves retrieved from large-N seismic arrays

   Instrumental timing and phase errors are a notorious problem in seismic data acquisition and proc...

   Cornelis Weemstra, Janneke I. de Laat, Arie Verdel, Pieter Smets | Journal: Geophysical Journal International | Volume: 224 | Year: 2021 | First page: 1028 | Last page: 1055 | doi: https://doi.org/10.1093/gji/ggaa504

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3. To new heights by flying low: Comparison of aircraft vertical NO2 profiles to model simulations and implications for TROPOMI NO2 retrievals

   The sensitivity of satellites to air pollution close to the sea surface is decreased by the scatt...

   T. Riess K.F. Boersma W. van Roy J. de Laat E. Dammers J. van Vliet | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | First page: 5287 | Last page: 5304 | doi: 10.5194/amt-16-5287-2023

   Publication

4. Introduction of the DISAMAR radiative transfer model: determining instrument specifications and analysing methods for atmospheric retrieval (version 4.1.5)

   DISAMAR (determining instrument specifications and analysing methods for atmospheric retrieval) i...

   de Haan, J. F., Wang, P., Sneep, M., Veefkind, J. P., and Stammes, P | Journal: Geoscientific Model Development | Year: 2022 | doi: https://doi.org/10.5194/gmd-15-7031-2022

   Publication

5. Neural Network AEROsol Retrieval for Geostationary Satellite (NNAeroG) Based on Temporal, Spatial and Spectral Measurements.

   Geostationary satellites observe the earth surface and atmosphere with a short repeat time, thus...

   Chen, X.; Zhao, L.; Zheng, F.; Li, J.; Li, L.; Ding, H.; Zhang, K.; Liu, S.; Li, D.; de Leeuw, G. | Journal: Remote Sensing | Volume: 14 | Year: 2022 | First page: 980 | doi: https://doi.org/10.3390/rs14040980

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