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First 2034 results for ” M Chatziparaschos”

1. Generalization of Ku-Band False-Alarm Reduction Method and Application to Cscat

   Space-borne scatterometer observations are well-known ocean surface wind remote sensing instrumen...

   Xingou Xu, Ad Stoffelen, Wenming Lin, Xiaolong Dong | Journal: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium | Year: 2020 | doi: https://doi.org/10.1109/IGARSS39084.2020.9323921

   Publication

2. Sensitivity of liquid cloud optical thickness and effective radius retrievals to cloud bow and glory conditions using two SEVIRI imagers

   Retrievals of cloud properties from geostationary satellite sensors offer extensive spatial and t...

   Benas, N., Meirink, J. F., Stengel, M., and Stammes, P | Journal: Atmospheric Measurement Techniques | Year: 2019 | doi: https://doi.org/10.5194/amt-12-2863-2019

   Publication

3. The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model

   The Cloud Climate Change Initiative (Cloud_cci) satellite simulator has been developed to enable ...

   Eliasson, S., Karlsson, K. G., van Meijgaard, E., Meirink, J. F., Stengel, M., andWill´en, U | Journal: Geoscientific Model Development | Year: 2019 | doi: https://doi.org/10.5194/gmd-12-829-2019

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4. Quantifying daily NOx and CO2 emissions from Wuhan using satellite observations from TROPOMI and OCO-2

   Quantification and control of NOx and CO2 emissions are essential across the world to limit adver...

   Zhang, Q., Boersma, K. F., Zhao, B., Eskes, H., Chen, C., Zheng, H., and Zhang, X. | Journal: Atmos Chem Phys | Volume: 23 | Year: 2023 | First page: 551 | Last page: 563 | doi: https://doi.org/10.5194/acp-23-551-2023

   Publication

5. Bayesian Algorithm for Rain Detection in Ku-Band Scatterometer Data

   Ku-band scatterometers are sensitive to rain effects due to their centimeter-scale radar waveleng...

   Zhao, K., A. Stoffelen, J. Verspeek, A. Verhoef and C. Zhao | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 61 | Year: 2023 | doi: 10.1109/TGRS.2023.3264245

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