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First 2202 results for ” M Garcia-Comas”

1. 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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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. Characterizing Buoy Wind Speed Error in High Winds and Varying Sea State with ASCAT and ERA5

   Buoys provide key observations of wind speed over the ocean and are routinely used as a source of...

   Ethan E Wright, Mark A Bourassa, Ad Stoffelen, Jean-Raymond Bidlot | Journal: Remote Sensing | Volume: 13 | Year: 2021 | doi: https://doi.org/10.3390/rs13224558

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4. Evaluation of CLARA-A2 and ISCCP-H Cloud Cover Climate Data Records over Europe with ECA&D Ground-Based Measurements

   Clouds are of high importance for the climate system but they still remain one of its principal u...

   Tzallas, V., Hatzianastassiou, N., Benas, N., Meirink, J. F., Matsoukas, C., Stackhouse, P., and Vardavas, I | Journal: Remote Sensing | Volume: 11 | Year: 2019 | doi: https://doi.org/10.3390/rs11020212

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5. Bayesian Algorithm for Rain Detection in Ku-Band Scatterometer Data

   Ku-band scatterometers are sensitive to rain effects due to their centimeter-scale radar waveleng...

   Zhao, K., A. Stoffelen, J. Verspeek, A. Verhoef and C. Zhao | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 61 | Year: 2023 | doi: 10.1109/TGRS.2023.3264245

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