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First 1215 results for ” M Gysel-Beer”

1. CLEAN beamforming for the enhanced detection of multiple infrasonic sources

   The detection and characterization of signals of interest in the presence of (in)coherent ambient...

   OFC den Ouden, JD Assink, PSM Smets, G Averbuch, S Shani Kadmiel, LG Evers | Status: published | Journal: Geophys. J. Int. | Volume: 221 | Year: 2020 | First page: 305 | Last page: 317 | doi: 10.1093/gji/ggaa010

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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

   Publication

3. Probabilistic moment tensor inversion for hydrocarbon-induced seismicity in the groningen gas field, the netherlands, part 1: Testing

   Since 1991, induced earthquakes have been observed and linked to gas production in the Groningen ...

   D Kuehn, S Heimann, M Isken, E Ruigrok, B Dost | Status: published | Journal: Bulletin of the Seismological Society of America | Volume: 110 | Year: 2020 | First page: 2095 | Last page: 2111 | doi: 10.1785/0120200099

   Publication

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

   Publication

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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