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First 248 results for ” R Cecchini”

1. Balance of Emission and Dynamical Controls on Ozone During the Korea-United States Air Quality Campaign From Multiconstituent Satellite Data Assimilation

   Global multiconstituent concentration and emission fields obtained from the assimilation of the s...

   K Miyazaki, T Sekiya, D Fu, KW Bowman, SS Kulawik, K Sudo, T Walker, Y Kanaya, M Takigawa, K Ogochi, H Eskes, KF Boersma, AM Thompson, B Gaubert, J Barre | Status: published | Journal: Journal of Geophysical Research: Atmospheres | Volume: 124 | Year: 2019 | doi: 10.1029/2018JD028912

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2. 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

   Publication

3. Short- and Long-Term Variations in the Reykjanes Geothermal Reservoir From Seismic Noise Interferometry

   The Reykjanes Geothermal System (RGS) is a high-temperature geothermal system located on the Reyk...

   Pilar Sánchez-Pastor, Anne Obermann, Martin Schimmel, Cornelis Weemstra, Arie Verdel, Philippe Jousset | Journal: Geophysical Research Letters | Volume: 46 | Year: 2019 | First page: 5788 | Last page: 5798 | doi: https://doi.org/10.1029/2019GL082352

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4. Forecasting day-ahead 1-minute irradiance variability from numerical weather predictions

   Accurate forecasts of solar irradiance are required for the large-scale integration of solar phot...

   Frank P.M. Kreuwel, Wouter Knap, Maurice Schmeits, Jordi Vilà-Guerau de Arellano, Chiel C. van Heerwaarden | Journal: Solar Energy | Volume: 258 | Year: 2023 | First page: 57 | Last page: 71 | doi: https://doi.org/10.1016/j.solener.2023.04.050

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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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