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First 3197 results for ” E van Beek”

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

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2. 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

   Publication

3. 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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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

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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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