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First 1793 results for ” J Beringer”

1. Quantifying burning efficiency in megacities using the NO2∕CO ratio from the Tropospheric Monitoring Instrument (TROPOMI)

   This study investigates the use of co-located nitrogen dioxide (NO2) and carbon monoxide (CO) ret...

   Lama, S., Houweling, S., Boersma, K. F., Eskes, H., Aben, I., Denier van der Gon, H. A. C., Krol, M. C., Dolman, H., Borsdorff, T., and Lorente, A. | Journal: Atmos. Chem. Phys. | Volume: 20 | Year: 2020 | First page: 10295 | Last page: 10310 | doi: 10.5194/acp-20-10295-2020

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2. Performance assessment of geophysical instrumentation through the automated analysis of power spectral density estimates

   This study describes an automated data quality verification procedure supported by a database of ...

   Mathijs Koymans, Jordi Domingo-Ballesta, Elmer Ruigrok, Reinoud Sleeman, Luca Trani, Läslo Evers | Journal: Earth and Space Science | Volume: 8 | Year: 2021 | doi: https://doi.org/10.1029/2021EA001675

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3. Widespread frequent methane emissions from the oil and gas industry in the Permian basin

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   Veefkind, J. P., Serrano-Calvo, R., de Gouw, J., Dix, B., Schneising, O., Buchwitz, M., Barré, J., van der A, R.J., Liu, M., Levelt, P.F. | Journal: Journal of Geophysical Research: Atmospheres | Volume: 128 | Year: 2023 | doi: https://doi.org/10.1029/2022JD037479

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4. DARCLOS: a cloud shadow detection algorithm for TROPOMI

   Cloud shadows are observed by the TROPOMI satellite instrument as a result of its high spatial re...

   Victor J. H. Trees, Ping Wang, Piet Stammes, Lieuwe G. Tilstra, David P. Donovan, and A. Pier Siebesma | Journal: AMT | Volume: 15 | Year: 2022 | First page: 3121 | Last page: 3140 | doi: https://doi.org/10.5194/amt-15-3121-2022

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5. Air Quality over China

   The strong economic growth in China in recent decades, together with meteorological factors, has ...

   de Leeuw, G.; van der A, R.; Bai, J.; Xue, Y.; Varotsos, C.; Li, Z.; Fan, C.; Chen, X.; Christodoulakis, I.; Ding, J.; Hou, X.; Kouremadas, G.; Li, D.; Wang, J.; Zara, M.; Zhang, K.; Zhang, Y. | Journal: Remote Sensing | Volume: 13 | Year: 2021 | doi: 10.3390/rs13173542

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