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First 494 results for ” JJ Barnett”

1. The CAMS reanalysis of atmospheric composition

   The Copernicus Atmosphere Monitoring Service (CAMS) reanalysis is the latest global reanalysis da...

   A Inness, M Ades, A Agusti-Panareda, J Barré, A Benedictow, AM Blechschmidt, JJ Dominguez, R Engelen, H Eskes, J Flemming, V Huijnen, L Jones, Z Kipling, S Massart, M Parrington | Status: published | Journal: Atm. Chem. Phys. | Volume: 19 | Year: 2019 | First page: 3515 | Last page: 3556 | doi: https://doi.org/10.5194/acp-19-3515-2019

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2. 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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3. 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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4. The Dutch Offshore Wind Atlas (DOWA): description of the dataset

   The Dutch Offshore Wind Atlas (DOWA) is a wind atlas covering a period of 11 years, from 2008 unt...

   I.L. Wijnant, B. van Ulft, B. van Stratum, J. Barkmeijer, J. Onvlee, C. de Valk, S. Knoop, S. Kok, G.J. Marseille, H. Klein Baltink, A. Stepek | Year: 2019 | Pages: 60

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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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