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First 1466 results for ”KNMI EARS Team”

1. 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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2. SWIRRL. Managing Provenance-aware and Reproducible Workspaces

   Modern interactive tools for data analysis and visualisation are designed to expose their functio...

   Alessandro Spinuso, Mats Veldhuizen, Daniele Bailo, Valerio Vinciarelli, Tor Langeland | Journal: Data Intelligence | Year: 2022 | doi: https://doi.org/10.1162/dint_a_00129

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3. 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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4. COVID-19 Impact on the Oil and Gas Industry NO2 Emissions: A Case Study of the Permian Basin

   COVID-19 caused a historic collapse in fossil fuel demand, a general decline in economic activity...

   Raquel Serrano-Calvo, J. Pepijn Veefkind, Barbara Dix, Joost de Gouw, Pieternel F. Levelt | Journal: J. Geophys Res | Volume: 128 | Year: 2023 | doi: https://doi.org/10.1029/2023JD038566

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5. ASCAT coastal AWDP prototype

   The ASCAT scatterometer level 2 product includes direct estimates of the global sea surface wind ...

   M Portabella, A Verhoef, A Stoffelen | Year: 2008

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