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First 679 results for ” Wendy Broadgate”

1. The NEWTON-g Gravity Imager: Toward New Paradigms for Terrain Gravimetry

   Knowledge of the spatio-temporal changes in the characteristics and distribution of subsurface fl...

   Carbone D., Antoni-Micollier L., Hammond G., de Zeeuw - van Dalfsen E., Rivalta E., Bonadonna C., Messina A., Lautier-Gaud J., Toland K., Koymans M., Anastasiou K., Bramsiepe S., Cannavò F., Contrafatto D., Frischknecht C., Greco F., Marocco G., Middlemiss R., Ménoret V., Noack A., Passarelli L., Paul D., Prasad A., Siligato G., Vermeulen P. | Journal: Frontiers in Earth Science | Volume: 8 | Year: 2020 | First page: 573396 | doi: 10.3389/feart.2020.573396

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2. Advancements in decadal climate predictability: the role of non-oceanic drivers

   Progresses in understanding the role of sea-ice, land surface, stratosphere and aerosols in decad...

   A Bellucci, RJ Haarsma, N Bellouin, B Booth, C Cagnazzo, B van den Hurk, N Keenlyside, T Koenigk, F Massonnet, S Materia, M Weiss | Status: published | Journal: Reviews of Geophysics | Year: 2015 | doi: 10.1002/2014RG000473

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3. The benefits of global high resolution for climate simulation process understanding and the enabling of stakeholder decisions at the regional scale

   The time scales of the Paris Climate Agreement indicate urgent action is required on climate poli...

   MJ Roberts, PL Vidale, C Senior, HT Hewitt, C Bates, S Berthou, P Chang, HM Christensen, S Danilov, ME Demory, SM Griffies, RJ Haarsma, T Jung, G Martin, S Minobe | Status: published | Journal: Bull. Amer. Meteor. Soc. | Year: 2018 | doi: 10.1175/BAMS-D-15-00320.1

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4. SHEER “smart” database

   The SHEER database brings together a large amount of data of various types: interdisciplinary sit...

   S Cielesta, B Orlecka-Sikora, M Staszek, P Urban, D Olszewska, EN Ruigrok, S Toon, M Picozzi, G Kwiatek, S Cesca, JA Lopez Comino, I Isherwood, N Montcoudiol, J Jaroslawski | Status: published | Journal: Acta Geophysica | Volume: 67 | Year: 2019 | First page: 291 | Last page: 297 | doi: 10.1007/s11600-018-0205-3

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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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