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First 4047 results for ” Roop and Heinrich”

1. The Aeolus Data Innovation and Science Cluster

   The Data Innovation and Science Cluster (DISC) is a core element of ESA's data quality strategy f...

   Isabell Krisch, Oliver Reitebuch, Jonas Von Bismarck, Tommaso Parrinello, Michael Rennie, Fabian Weiler, Dorit Huber, Jos De Kloe, Alain Dabas, Anne Grete Straume-Lindner, Saleh Abdalla, Stefano Aprile, Sebastian Bley, Fabio Bracci, Simone Bucci, Massimo Cardaci, Werner Damman, Dave Donovan, Frithjof Ehlers, Frederic Fabre, Peggy Fischer, Thomas Flament, Giacomo Gostinicchi, Lars Isaksen, Sebastian Jupin-Langlois, Thomas Kanitz, Adrien Lacour, Marta De Laurentis, Christian Lemmerz, Oliver Lux, Uwe Marksteiner, Gert-Jan Marseille, Nafiseh Masoumzadeh, Markus Meringer, Sander Niemeijer, Ines Nikolaus, Gaetan Perron, Bas Pijnacker-Hordijk, Katja Reissig, Matic Savli, Karsten Schmidt, Ad Stoffelen, Dimitri Trapon, Michael Vaughan, Marcella Veneziani, Cristiano De Vincenti, Benjamin Witschas | Journal: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS | Year: 2021 | doi: https://doi.org/10.1109/IGARSS47720.2021.9553634

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2. BoWa NL: visie bovenluchtwaarnemingen Nederland

   BoWa NL: visie bovenluchtwaarnemingen Nederland 

   S. Tijm, B. Wichers Schreur en H. Klein Baltink | Year: 2003 | Pages: 51

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3. Fifteen years of ocean observations with the global Argo array

   More than 90% of the heat energy accumulation in the climate system between 1971 and the present ...

   Stephen C. Riser, Howard J. Freeland, Dean Roemmich, Susan Wijffels, Ariel Troisi, Mathieu Belbeoch, Denis Gilbert, Jianping Xu, Sylvie Pouliquen, Ann Thresher, Pierre-Yves Le Traon, Guillaume Maze, Birgit Klein, M. Ravichandran, Fiona Grant, Pierre-Marie Poulain, Toshio Suga, Byunghwan Lim, Andreas Sterl, Philip Sutton, Kjell-Arne Mork, Pedro Joaquín Vélez-Belchí, Isabelle Ansorge, Brian King, Jon Turton, Molly Baringer, and Steve Jayne | Status: published | Journal: Nature Climate Change | Volume: 6 | Year: 2016 | First page: 145 | Last page: 153 | doi: 10.1038/nclimate2872

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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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