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First 4099 results for ”The DRAKKAR Group”

1. Crowdsourcing urban air temperatures through smartphone battery temperatures in São Paulo, Brazil

   Crowdsourcing as a method to obtain and apply vast datasets is rapidly becoming prominent in mete...

   Droste, Pape, Overeem, Leijnse, Steeneveld, Delden, Uijlenhoet | Status: published | Journal: J. Atm. Oceanic Technol. | Volume: 34 | Year: 2017 | First page: 1853 | Last page: 1866 | doi: 10.1175/JTECH-D-16-0150.1

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2. ESMValTool (v1.0) - a community diagnostic and performance metrics tool for routine evaluation of Earth System Models in CMIP

   A community diagnostics and performance metrics tool for the evaluation of Earth System Models (E...

   V. Eyring, M. Righi, M. Evaldsson, A. Lauer, S. Wenzel, C. Jones, A. Anav, O. Andrews, I. Cionni, E.L. Davin, C. Deser, C. Ehbrecht, P. Friedlingstein, P. Gleckler, K.-D. Gottschaldt, S. Hagemann, M. Juckes, S. Kindermann, J. Krasting, D. Kunert, R. Levine, A. Loew, J. Mäkelä, G. Martin, E. Mason, A. Phillips, S. Read, C. Rio, R. Roehrig, D. Senftleben, A. Sterl, L.H. van Ulft, J. Walton, S. Wang, and K.D. Williams. | Journal: Geosci. Mod. Dev. Discussions | Volume: 8 | Year: 2015 | First page: 7541 | Last page: 7661 | doi: 10.5194/gmdd-8-7541-2015

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3. Global impacts of surface ozone changes on crop yields and land use

   Exposure to surface ozone has detrimental impacts on vegetation and crop yields. In this study, w...

   C Chuwah, T van Noije, DP van Vuuren, E Stehfest, W Hazeleger | Status: published | Journal: Atmos. Environ. | Volume: 106 | Year: 2015 | First page: 11 | Last page: 23 | doi: 10.1016/j.atmosenv.2015.01.062

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4. OpenIFS/AC: atmospheric chemistry and aerosol in OpenIFS 43r3

   In this paper, we report on the first implementation of atmospheric chemistry and aerosol as part...

   V Huijnen, P Le Sager, MO Köhler, G Carver, S Rémy, J Flemming, S Chabrillat, Q Errera, T van Noije | Journal: Geosci. Model Dev. | Volume: 15 | Year: 2022 | First page: 6221 | Last page: 6241 | doi: 10.5194/gmd-15-6221-2022

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5. 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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