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First 1101 results for ” J.; Moran”

  1. The generation of EarthCARE L1 test data sets using atmospheric model data sets

    The Earth Cloud, Aerosol and Radiation Explorer mission (EarthCARE) is a multi-instrument cloud–a...

    David P Donovan, Pavlos Kollias, Almudena Velázquez Blázquez, Gerd-Jan van Zadelhoff | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | First page: 5327 | Last page: 5356 | doi: 10.5194/amt-16-5327-2023

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  2. Systematic recovery of instrumental timing and phase errors using interferometric surface-waves retrieved from large-N seismic arrays

    Instrumental timing and phase errors are a notorious problem in seismic data acquisition and proc...

    Cornelis Weemstra, Janneke I. de Laat, Arie Verdel, Pieter Smets | Journal: Geophysical Journal International | Volume: 224 | Year: 2021 | First page: 1028 | Last page: 1055 | doi: https://doi.org/10.1093/gji/ggaa504

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  3. Ozone Monitoring Instrument (OMI) collection 4: establishing a 17-year-long series of detrended level-1b data

    The Ozone Monitoring Instrument (OMI) was launched on 15 July 2004, with an expected mission life...

    Quintus Kleipool, Nico Rozemeijer, Mirna van Hoek, Jonatan Leloux, Erwin Loots, Antje Ludewig, Emiel van der Plas, Daley Adrichem, Raoul Harel, Simon Spronk, Mark ter Linden, Glen Jaross, David Haffner, Pepijn Veefkind, and Pieternel F. Levelt | Journal: Atmospheric Measurement Techniques | Volume: 15 | Year: 2022 | First page: 3527 | Last page: 3553 | doi: https://doi.org/10.5194/amt-15-3527-2022

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  4. Seasonal Streamflow Forecasting for Fresh Water Reservoir Management in the Netherlands: An Assessment of Multiple Prediction Systems

    For efficient management of the Dutch surface water reservoir Lake IJssel, (sub)seasonal forecast...

    Hurkmans, R. T. W. L., B. van den Hurk, M. Schmeits, F. Wetterhall, and I. G. Pechlivanidis | Journal: J. Hydrometeor. | Volume: 24 | Year: 2023 | First page: 1275 | Last page: 1290 | doi: https://doi.org/10.1175/JHM-D-22-0107.1

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  5. Correcting Subseasonal Forecast Errors with an Explainable ANN to Understand Misrepresented Sources of Predictability of European Summer Temperatures

    Subseasonal forecasts are challenging for numerical weather prediction (NWP) and machine learning...

    Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Artif. Intell. Earth Syst. | Volume: 2 | Year: 2023 | doi: https://doi.org/10.1175/AIES-D-22-0047.1

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