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First 870 results for ” Remco Braak”

1. Validation of SCIAMACHY products
   AJM Piters, RJ van der A, MAF Allaart, H Eskes, N Fournier, M de Graaf, H Kelder, D Lolkema, A Segers, C Schrijvers, P Stammes, G Tilstra | Year: 2006

   Publication

2. Validation Report -- Atmospheric Chemistry Products from Satellites
   A Richter, A Heckel, S Noel, F Wittrock, AJM Piters, RJ van der A, E Brinksma, M Sneep, P Wang, M de Graaf, P Stammes, C Clerbaux, S Turquety, JL Attie | Year: 2006

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3. EARLINET instrument intercomparison campaigns: overview on strategy and results

   This paper introduces the recent European Aerosol Research Lidar Network (EARLINET) quality-assur...

   U Wandinger, V Freudenthaler, H Baars, A Amodeo, R Engelmann, I Mattis, S Groß, G Pappalardo, A Giunta, G D'Amico, A Chaikovsky, F Osipenko, A Apituley, KM Wilson, M de Graaf | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 9 | Year: 2016 | First page: 1001 | Last page: 1023 | doi: 10.5194/amt-9-1001-2016

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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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