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First 2971 results for ” N Proksch”

  1. Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies on field data from the CINDI-2 campaign

    JL Tirpitz, U Friess, F Hendrick, C Alberti, M Allaart, A Apituley, ......, M den Hoed, ......, A Piters, ......, D Stein Zweers, ......, T Vlemmix, Et al | Status: accepted | Journal: Atmospheric Measurement Techniques | Year: 2020 | doi: 10.5194/amt-2019-456

    Publication

  2. Evaluation of SCIAMACHY Level-1 data versions using nadir ozone profile retrievals in the period 2003–2011

    Ozone profile retrieval from nadir-viewing satellite instruments operating in the ultraviolet–vis...

    S Shah, ONE Tuinder, JCA van Peet, ATJ de Laat, P Stammes | Status: published | Journal: Atmospheric Measurement Techniques | Year: 2018 | First page: 2345 | Last page: 2360 | doi: https://doi.org/10.5194/amt-11-2345-2018

    Publication

  3. Vertical Profiles of Tropospheric Ozone From MAX‐DOAS Measurements During the CINDI‐2 Campaign: Part 1—Development of a New Retrieval Algorithm

    Y Wang, J Pukite, T Wagner, S Donner, S Beirle, A Hilboll, M Vrekoussis, A Richter, A Apituley, A Piters, M Allaart, H Eskes, A Frumau, M Van Roozendael, Et al | Status: published | Journal: J. Geophys. Res. | Volume: 123 | Year: 2018 | First page: 10637 | Last page: 10670 | doi: 10.1029/2018JD028647

    Publication

  4. Meteorological conditions leading to extreme low variable renewable energy production and extreme high energy shortfall

    To mitigate climate change a renewable energy transition is needed. Existing power systems will n...

    K van der Wiel, LP Stoop, BRH van Zuijlen, R Blackport, MA van den Broeke, FM Selten | Status: published | Journal: Renewable and Sustainable Energy Reviews | Volume: 111 | Year: 2019 | First page: 261 | Last page: 275 | doi: 10.1016/j.rser.2019.04.065

    Publication

  5. Comparing Area Probability Forecasts of (Extreme) Local Precipitation Using Parametric and Machine Learning Statistical Postprocessing Methods

    Probabilistic forecasts, which communicate forecast uncertainties, enable users to make better we...

    KRP Whan, MJ Schmeits | Status: published | Journal: Mon. Wea. Rev. | Volume: 146 | Year: 2018 | First page: 3651 | Last page: 3673 | doi: 10.1175/MWR-D-17-0290.1

    Publication