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First 431 results for ”A-C Engvall”

1. Spatial and temporal changes of the ozone sensitivity in China based on satellite and ground-based observations

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   Wang, W., van der A, R., Ding, J., van Weele, M., and Cheng, T. | Journal: Atmos. Chem. Phys. | Year: 2021 | doi: 10.5194/acp-21-7253-2021

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2. MAX-DOAS measurements of tropospheric NO2 and HCHO in Munich and the comparison to OMI and TROPOMI satellite observations

   We present two-dimensional scanning Multi-AXis Differential Optical Absorption Spectroscopy (MAX-...

   Chan, K. L., Wiegner, M., van Geffen, J., De Smedt, I., Alberti, C., Cheng, Z., Ye, S. and Wenig, M. | Journal: Atmos. Meas. Tech. | Volume: 13 | Year: 2020 | First page: 4499 | Last page: 4520 | doi: 10.5194/amt-13-4499-2020

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3. 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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4. 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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5. Description and evaluation of the tropospheric aerosol scheme in the Integrated Forecasting System (IFS-AER, cycle 47R1) of ECMWF

   This article describes the Integrated Forecasting System aerosol scheme (IFS-AER) used operationa...

   Remy S., Kipling Z., Huijnen V., Flemming J., Nabat P., Michou M., Ades M., Engelen R., Peuch V.-H. | Journal: Geoscientific Model Development | Volume: 15 (12) | Year: 2022 | First page: 4881 | Last page: 4912 | doi: 10.5194/gmd-15-4881-2022

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