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Spaceborne Sun-Induced Vegetation Fluorescence Time Series from 2007 to 2015 Evaluated with Australian Flux Tower Measurements
A global, monthly averaged time series of Sun-induced Fluorescence (SiF), spanning January 2007 t...
AFJ Sanders, WW Verstraeten, ML Kooreman, TC van Leth, J Beringer, J Joiner | Status: published | Journal: Remote Sensing | Volume: 8 | Year: 2016 | First page: 895 | doi: 10.3390/rs8110895
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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 ...
S Eliasson, KG Karlsson, E van Meijgaard, JF Meirink, M Stengel, U Willen | Status: published | Journal: Geoscientific Model Development | Volume: 12 | Year: 2019 | First page: 829 | Last page: 847 | doi: 10.5194/gmd-12-829-2019
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The MSG-SEVIRI-based cloud property data record CLAAS-2
Clouds play a central role in the Earth's atmosphere, and satellite observations are crucial for ...
Benas N., Finkensieper S., Stengel M., Van Zadelhoff G.-J., Hanschmann T., Hollmann R., Meirink J. F. | Status: published | Journal: Earth System Science Data | Volume: 9 | Year: 2017 | First page: 415 | Last page: 434 | doi: 10.5194/essd-9-415-2017
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The generation of EarthCARE L1 test data sets using atmospheric model data sets
The Earth Cloud, Aerosol and Radiation Explorer mission (EarthCARE) is a multi-instrument cloud–a...
David P Donovan, Pavlos Kollias, Almudena Velázquez Blázquez, Gerd-Jan van Zadelhoff | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | First page: 5327 | Last page: 5356 | doi: 10.5194/amt-16-5327-2023
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Direct Retrieval of NO2 Vertical Columns from UV-Vis (390-495 nm) Spectral Radiances Using a Neural Network
Satellite retrievals of columnar nitrogen dioxide (NO2) are essential for the characterization of...
Li, C., Xu, X., Liu, X., Wang, J., Sun, K., van Geffen, J., Zhu, Q., Ma, J., Jin, J., Qin, K., He, Q., Xie, P., Ren, B. and Cohen, R. C. | Journal: JOURNAL OF REMOTE SENSING | Year: 2022 | doi: https://doi.org/10.34133/2022/9817134
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