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First 2496 results for ” ter Linden”

  1. Drivers of Interannual Sea-Level Variability on the Northwestern European Shelf

    Sea level on the northwestern European shelf (NWES) varies substantially from year to year. Remov...

    THJ Hermans, D Le Bars, CA Katsman, CML Camargo, T Gerkema, F Calafat, J Tinker, ABA Slangen | Status: published | Journal: J. Geophys. Res. | Volume: 125 | Year: 2020 | doi: https://doi.org/10.1029/2020JC016325

    Publication

  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. A deep stratosphere-to-troposphere ozone transport event over Europe simulated in CAMS global and regional forecast systems: analysis and evaluation

    Stratosphere-to-troposphere transport (STT) is an important natural source of tropospheric ozone,...

    D Akritidis, E Katragkou, P Zanis, I Pytharoulis, D Melas, J Flemming, A Inness, H Clark, M Plu, H Eskes | Status: published | Journal: Atm. Chem. Phys. | Volume: 18 | Year: 2018 | First page: 15515 | Last page: 15534 | doi: https://doi.org/10.5194/acp-18-15515-2018

    Publication

  4. Satellite Observations of PM2.5 Changes and Driving Factors based Forecasting over China 2000-2025

    In China, atmospheric fine particulate matter (PM2.5) pollution is a challenging environmental pr...

    Y Zhang, Z Li, W Chang, Y Zhang, G de Leeuw, JJ Schauer | Status: published | Journal: Remote Sensing | Volume: 12 | Year: 2020 | First page: 1 | Last page: 20 | doi: doi:10.3390/rs12162518

    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