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First 515 results for ”H.A.F.M. Otten”

1. LOFAR lightning imaging: Mapping lightning with nanosecond precision

   Lightning mapping technology has proven instrumental in understanding lightning. In this work we ...

   BM Hare, O Scholten, A Bonardi, S Buitink, A Corstanje, U Ebert, H Falcke, JR Hörandel, H Leijnse, P Mitra, K Mulrey, A Nelles, JP Rachen, L Rossetto, C Rutjes | Status: published | Journal: J. Geophys. Res. | Volume: 123 | Year: 2018 | First page: 2861 | Last page: 2876 | doi: 10.1002/2017JD028132

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2. BioRad: biological analysis and visualization of weather radar data

   Weather surveillance radars are increasingly used for monitoring the movements and abundances of ...

   AM Dokter, P Desmet, JH Spaaks, S van Hoey, L Veen, L Verlinden, C Nilsson, G Haase, H Leijnse, A Farnsworth, W Bouten, J Shamoun-Baranes | Status: published | Journal: Ecography | Volume: 42 | Year: 2019 | First page: 852 | Last page: 860 | doi: 10.1111/ecog.04028

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3. KNMI Specials - wat gebeurt er nu het ijs in het noordpoolgebied smelt?

   Online KNMI special/ magazine over klimaatverandering in het noordpoolgebied.   https://magazi...

   KNMI in samenwerking met het Ministerie van Buitenlandse Zaken, Rijksuniversiteit Groningen, Wageningen Economic Research en Wageningen Marine Research. | Year: 2020 | Pages: nvt

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4. Using Explainable Machine Learning Forecasts to Discover Subseasonal Drivers of High Summer Temperatures in Western and Central Europe

   Reliable subseasonal forecasts of high summer temperatures would be very valuable for society. Al...

   Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Monthly Weather Review | Volume: 150 | Year: 2022 | First page: 1115 | Last page: 1134 | doi: https://doi.org/10.1175/MWR-D-21-0201.1

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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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