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First 1789 results for ” Tobias; Landgraf”

  1. Estimation of advective fluxes from CO2 flux profile observations at the Cabauw Tower

    The exchange of carbon dioxide (CO2) between the atmosphere and the terrestrial biosphere is an i...

    Kasper O. Gerritsen | Year: 2012 | Pages: 72

    Publication

  2. Global Dimming and Brightening Features during the First Decade of the 21st Century

    Downward surface solar radiation (SSR) trends for the first decade of the 2000s were computed usi...

    Hatzianastassiou, N.; Ioannidis, E.; Korras-Carraca, M.-B.; Gavrouzou, M.; Papadimas, C.D.; Matsoukas, C.; Benas, N.; Fotiadi, A.; Wild, M.; Vardavas, I. | Journal: Atmosphere | Volume: 11 | Year: 2020 | doi: 10.3390/atmos11030308

    Publication

  3. Global Methane Retrieval, Monitoring, and Quantification in Hotspot Regions Based on AHSI/ZY-1 Satellite

    Methane is the second largest greenhouse gas. The detection of methane superemitters and the qua...

    Lu, T., Z. Li, C. Fan, Z. He, X. Jiang, Y. Zhang, Y. Gao, Y. Xuan, G. de Leeuw | Journal: Atmosphere | Volume: 16 | Year: 2025 | First page: 1 | Last page: 18 | doi: https://doi.org/10.3390/atmos16050510

    Publication

  4. Evaluating impact-based forecasting models for tropical cyclone anticipatory action

    Impact‐based Forecast (IBF) is increasingly adopted for Anticipatory Action in disaster risk mana...

    Sahara Sedhain, Marc van den Homberg, Aklilu Teklesadik, Maarten van Aalst, Norman Kerle | Journal: International Journal of Disaster Risk Reduction | Volume: 129 | Year: 2025 | First page: 105782 | doi: https://doi.org/10.1016/j.ijdrr.2025.105782

    Publication

  5. Integration of Surface Reflectance and Aerosol Retrieval Algorithms for Multi‐Resolution Aerosol Optical Depth Retrievals over Urban Areas.

    The SEMARA approach, an integration of the Simplified and Robust Surface Reflectance Estimation (...

    Bilal, M.; Mhawish, A.; Ali, A.; Nichol, J.E.; de Leeuw, G.; Mazhar, U.; Qiu, Z.; Bleiweiss, M.P.; Nazeer, M. | Journal: Remote Sensing | Volume: 14 | Year: 2022 | First page: 373 | doi: https://doi.org/10.3390/rs14020373

    Publication