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First 4891 results for ” S. F. and van Oldenborgh”

1. NOx emission trends over Chinese cities estimated from OMI observations during 2005 to 2015

   Satellite nitrogen dioxide (NO2) observations have been widely used to evaluate emission changes....

   Fei Liu, Steffen Beirle, Qiang Zhang1 Ronald J. van der A, Bo Zheng, Dan Tong, Kebin He | Status: published | Journal: Atmospheric Chemistry and Physics | Volume: 17 | Year: 2017 | doi: https://doi.org/10.5194/acp-17-9261-2017

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2. NOx emissions in India derived from OMI satellite observations,

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   Jieying Ding, Ronald van der A, Bas Mijling, Jos de Laat, Henk Eskes, K. Folkert Boersma | Journal: Atmospheric Environment: X | Volume: 14 | Year: 2022 | doi: 10.1016/j.aeaoa.2022.100174

   Publication

3. A globally consistent local-scale assessment of future tropical cyclone risk

   There is considerable uncertainty surrounding future changes in tropical cyclone (TC) frequency a...

   N Bloemendaal, H de Moel, AB Martinez, S Muis, ID Haigh, K van der Wiel, RJ Haarsma, PJ Ward, MJ Roberts, JCM Dullaart, JCJH Aerts. | Journal: Science advances | Volume: 8 | Year: 2022 | First page: eabm8438 | doi: 10.1126/sciadv.abm8438

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4. Intercomparison of Sentinel-5P TROPOMI cloud products for tropospheric trace gas retrievals

   Clouds have a strong impact on satellite measurements of tropospheric trace gases in the ultravio...

   Latsch, M.; Richter, A.; Eskes, H.; Sneep, M.; Wang, P.; Veefkind, P.; Lutz, R.; Loyola, D.; Argyrouli, A.; Valks, P.; Wagner, T.; Sihler, H.; van Roozendael, M.; Theys, N.; Yu, H.; Siddans, R.; Burrows, J. P. | Journal: Atmospheric Measurement Techniques | Year: 2022 | doi: https://doi.org/10.5194/amt-15-6257-2022

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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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