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First 1638 results for ” Engwell Samantha”

1. 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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2. 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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3. Observed Increase of Urban Extreme Rainfall as Surface Temperature Rise: The Jakarta Case

   Sub-daily extreme precipitation in Jakarta exhibits trends related to local temperature, seasonal...

   Siswanto, Gerard van der Schrier, Bart van den Hurk | Journal: J. Meteorological Society of Japan | Volume: 100 | Year: 2022 | doi: https://doi.org/10.2151/jmsj.2022-023

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4. The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model

   The Cloud Climate Change Initiative (Cloud_cci) satellite simulator has been developed to enable ...

   Eliasson, S., Karlsson, K. G., van Meijgaard, E., Meirink, J. F., Stengel, M., andWill´en, U | Journal: Geoscientific Model Development | Year: 2019 | doi: https://doi.org/10.5194/gmd-12-829-2019

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5. 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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