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First 722 results for ” Peischl”

1. The global impacts of COVID-19 lockdowns on urban air pollution: A critical review and recommendations

   The coronavirus-19 (COVID-19) pandemic led to government interventions to limit the spread of the...

   Gkatzelis, Georgios I., Jessica B. Gilman, Steven S. Brown, Henk Eskes, A. Rita Gomes, Anne C. Lange, Brian C. McDonald, Jeff Peischl, Andreas Petzold, Chelsea R. Thompson, Astrid Kiendler-Scharr | Journal: Elementa: Science of the Anthropocene | Volume: 9 | Year: 2021 | First page: 00176 | doi: 10.1525/elementa.2021.00176

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2. Nitrogen oxides in the free troposphere: implications for tropospheric oxidants and the interpretation of satellite NO2 measurements

   Satellite-based retrievals of tropospheric NO2 columns are widely used to infer NOx (≡ NO + NO2) ...

   Shah, V., Jacob, D. J., Dang, R., Lamsal, L. N., Strode, S. A., Steenrod, S. D., Boersma, K. F., Eastham, S. D., Fritz, T. M., Thompson, C., Peischl, J., Bourgeois, I., Pollack, I. B., Nault, B. A., Cohen, R. C., Campuzano-Jost, P., Jimenez, J. L., Andersen, S. T., Carpenter, L. J., Sherwen, T., and Evans, M. J. | Journal: Atmos Chem Phys | Volume: 23 | Year: 2023 | First page: 1227 | Last page: 1257 | doi: https://doi.org/10.5194/acp-23-1227-2023

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3. A climate database with varying drought-heat signatures for climate impact modelling

   Extreme climate events, such as droughts and heatwaves, can have large impacts on the environment...

   E Tschumi, S Lienert, K van der Wiel, F Koos, J Zschleischler | Journal: Geoscience Data Journal | Volume: 9 | Year: 2022 | First page: 154 | Last page: 166 | doi: 10.1002/gdj3.129

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4. The effects of varying drought-heat signatures on terrestrial carbon dynamics and vegetation composition

   The frequency and severity of droughts and heatwaves are projected to increase under global warmi...

   E Tschumi, S Lienert, K van der Wiel, F Koos, J Zschleischler | Journal: Biogeosciences | Volume: 19 | Year: 2022 | First page: 1979 | Last page: 1993 | doi: 10.5194/bg-19-1979-2022

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5. Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks

   Modeling dependencies between climate extremes is important for climate risk assessment, for inst...

   Y Boulaguiem, J Zschleischler, E Vignotto, K van der Wiel, S Engelke | Journal: Environmental Data Science | Volume: 1 | Year: 2022 | First page: e5 | doi: 10.1017/eds.2022.4

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