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First 1117 results for ”EJO Schrama”

1. Comparison of dust-layer heights from active and passive satellite sensors

   Aerosol-layer height is essential for understanding the impact of aerosols on the climate system....

   Kylling, A.; Vandenbussche, S.; Capelle, V.; Cuesta, J.; Klüser, L.; Lelli, L.; Popp, T.; Stebel, K.; Veefkind, P. | Journal: Atmospheric Measurement Techniques | Year: 2018 | doi: https://doi.org/10.5194/amt-11-2911-2018

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2. In-flight performance of the Ozone Monitoring Instrument

   The Dutch–Finnish Ozone Monitoring Instrument (OMI) is an imaging spectrograph flying on NASA's E...

   Schenkeveld, V. M. E.; Jaross, G.; Marchenko, S.; Haffner, D.; Kleipool, Q. L.; Rozemeijer, N. C.; Veefkind, J. P.; Levelt, P. F. | Journal: Atmospheric Measurement Techniques | Year: 2017 | doi: https://doi.org/10.5194/amt-10-1957-2017

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3. 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., and Meirink, J. F | Journal: Earth System Science Data | Year: 2017 | doi: https://doi.org/10.5194/essd-9-415-2017

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4. Rainfall generator for the Rhine basin: Description of simulations using gridded precipitation datasets and uncertainty analysis

   The rainfall generator has been used to generate long synthetic series of daily precipitation and...

   Maurice Schmeits, Erwin Wolters, Jules Beersma, Adri Buishand | Year: 2014 | Pages: 29

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5. Validation of the Sentinel-5 Precursor TROPOMI cloud data with Cloudnet, Aura OMI O₂–O₂ , MODIS, and Suomi-NPP VIIRS

   Accurate knowledge of cloud properties is essential to the measurement of atmospheric composition...

   Steven Compernolle, Athina Argyrouli, Ronny Lutz, Maarten Sneep, Jean-Christopher Lambert, Ann Mari Fjæraa, Daan Hubert, Arno Keppens, Diego Loyola, Ewan Ewan O'Connor, Fabian Romahn, Piet Stammes, Tijl Verhoelst and Ping Wang | Journal: Atmospheric Measurement Techniques | Volume: 14 | Year: 2021 | First page: 2451 | Last page: 2476 | doi: 10.5194/amt-14-2451-2021

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