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First 2073 results for ”J Beersma”

  1. Daedalus: a low-flying spacecraft for in situ exploration of the lower thermosphere-ionosphere

    The Daedalus mission has been proposed to the European Space Agency (ESA) in response to the call...

    T Sarris, E Talaat, M Palmroth, I Dandouras, E Armandillo, G Kervalishvili, S Buchert, S Tourgaidis, D Malaspina, AN Jaynes, N Paschalidis, J Sample, J Halekas, E Doornbos | Journal: Geoscientific Instrumentation Methods and Data Sys | Volume: 9 | Year: 2020 | doi: 10.5194/gi-9-153-2020

    Publication

  2. 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

    Publication

  3. 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

  4. 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

  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

    Publication