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First 1596 results for ” M Beekmann”

1. Toward a Unified Terminology of Processing Levels for Low-Cost Air-Quality Sensors

   Low-cost sensor systems for measuring air quality have received widespread scientific and media a...

   P Schneider, A Bartonova, N Castell, FR Dauge, M Gerboles, GSW Hagler, C Hüglin, RL Jones, S Khan, AC Lewis, B Mijling, M Müller, M Penza, L Spinelle, J Wesseling | Status: published | Journal: Environmental Science & Technology | Year: 2019 | First page: 8485 | Last page: 8487 | doi: 10.1021/acs.est.9b03950

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2. Future evolution of surface solar radiation and photovoltaic potential in Europe: investigating the role of aerosols

   In recent decades, trends in photovoltaic (PV) technology deployment have shown an overall increa...

   C Gutiérrez, S Somot, P Nabat, M Mallet, L Corre, E van Meijgaard, O Perpiñán, M&Aac Gaertner | Status: published | Journal: Environmental Research Letters | Volume: 15 | Year: 2020 | doi: 10.1088/1748-9326/ab6666

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3. The southeastern tropical atlantic sst bias investigated with a coupled atmosphere-ocean single-column model at a pirata mooring site

   Warm sea surface temperature (SST) biases in the tropical Atlantic Ocean form a longstanding prob...

   AL Deppenmeier, RJ Haarsma, C van Heerwaarden, W Hazeleger | Status: published | Journal: J. Climate | Year: 2020 | doi: 10.1175/JCLI-D-19-0608.1

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4. Improving algorithms and uncertainty estimates for satellite NO2 retrievals: results from the quality assurance for the essential climate variables (QA4ECV) project

   Global observations of tropospheric nitrogen dioxide (NO2) columns have been shown to be feasible...

   KF Boersma, HJ Eskes, A Richter, I De Smedt, A Lorente, JHGM van Geffen, M Zara, RJ van der A | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 11 | Year: 2018 | First page: 6651 | Last page: 6678 | doi: https://doi.org/10.5194/amt-11-6651-2018

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5. Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method

   The Fine Mode Fraction (FMF) of atmospheric aerosol is very important for environment and climate...

   X Chen, G de Leeuw, A Arola, S Liu, Y Liu, K Zhang | Status: published | Journal: Remote Sens. Environ. | Volume: 247 | Year: 2020 | First page: 1 | Last page: 16 | doi: https://doi.org/10.1016/j.rse.2020.112006

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