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First 1703 results for ”Gao Quanduo”

1. Quantifying urban, industrial, and background changes in NO2 during the COVID-19 lockdown period based on TROPOMI satellite observations

   The COVID-19 lockdown had a large impact on anthropogenic emissions of air pollutants and particu...

   Vitali Fioletov, Chris A. McLinden, Debora Griffin, Nickolay Krotkov, Fei Liu, and Henk Eskes | Journal: Atmos | Year: 2022 | doi: https://doi.org/10.5194/acp-22-4201-2022

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2. Quantifying NOx Emissions from U.S. Oil and Gas Production Regions Using TROPOMI NO2

   The production of crude oil and natural gas is associated with emissions of air pollutants, such ...

   Dix, Barbara; Francoeur, Colby; Li, Meng; Serrano-Calvo, Raquel; Levelt, Pieternel F.; Veefkind, J. Pepijn; McDonald, Brian C.; de Gouw, Joost | Journal: ACS Earth and Space Chemistry | Year: 2022 | doi: https://doi.org/10.1021/acsearthspacechem.1c00387

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3. Quantifying daily NOx and CO2 emissions from Wuhan using satellite observations from TROPOMI and OCO-2

   Quantification and control of NOx and CO2 emissions are essential across the world to limit adver...

   Zhang, Q., Boersma, K. F., Zhao, B., Eskes, H., Chen, C., Zheng, H., and Zhang, X. | Journal: Atmos Chem Phys | Volume: 23 | Year: 2023 | First page: 551 | Last page: 563 | doi: https://doi.org/10.5194/acp-23-551-2023

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4. Quantitative precipitation estimation from weather radars, personal weather stations and commercial microwave links

   The focus of this book chapter is on quantitative precipitation estimation (QPE) by ground-based ...

   Aart Overeem, Remko Uijlenhoet, Hidde Leijnse | Year: 2023

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5. How Unusual was the Cold Winter of 2013/14 in the Upper Midwest?

   The frigid 2013/14 Midwestern winter was 20–100 times less likely than in the 1880s due to long-t...

   K Wolter, M Hoerling, JK Eischeid, GJ van Oldenborgh, XW Quan, JE Walsh, TN Chase, RM Dole | Status: published | Journal: Bull. Amer. Meteor. Soc. | Volume: 96 | Year: 2015 | First page: S10 | Last page: S40 | doi: 10.1175/BAMS-D-15-00126.1

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