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2022 early-summer heatwave in Southern South America: 60 times more likely due to climate change
A large area including the central-northern part of Argentina, southern Bolivia, central Chile, a...
Juan Antonio Rivera, Paola A. Arias, Anna A. Sörensson, Mariam Zachariah, Clair Barnes, Sjoukje Philip, Sarah Kew, Robert Vautard, Gerbrand Koren, Izidine Pinto, Maja Vahlberg, Roop Singh, Emmanuel Raju, Sihan Li, Wenchang Yang, Gabriel A. Vecchi, Luke J. Harrington & Friederike E. L. Otto | Journal: Climatic Change | Volume: 176 | Year: 2023 | doi: https://doi.org/10.1007/s10584-023-03576-3
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Aeolus Rayleigh-channel winds in cloudy conditions
Aeolus carried the first Doppler wind lidar to measure wind profiles from space. Aeolus was a Eur...
Gert-Jan Marseille, Jos de Kloe, Alain Dabas, Thomas Flament, Michael Rennie | Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 149 | Year: 2023 | First page: 3270 | Last page: 3289 | doi: https://doi.org/10.1002/qj.4555
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The Value-Add of Tailored Seasonal Forecast Information for Industry Decision Making
There is a growing need for more systematic, robust, and comprehensive information on the value-a...
Clare Mary Goodess , Alberto Troccoli , Nicholas Vasilakos, Stephen Dorling, Edward Steele, Jessica D. Amies, Hannah Brown, Katie Chowienczyk, Emma Dyer, Marco Formenton, Antonio M. Nicolosi, Elena Calcagni, Valentina Cavedon,
Victor Estella Perez, Gertie Geertsema, Folmer Krikken, Kristian Lautrup Nielsen, Marcello Petitta, José Vidal, Martijn De Ruiter, Ian Savage and Jon Upton | Journal: Climate | Volume: 10 | Year: 2022 | First page: 152 | doi: https://doi.org/10.3390/cli10100152
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Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks
Modeling dependencies between climate extremes is important for climate risk assessment, for inst...
Y Boulaguiem, J Zschleischler, E Vignotto, K van der Wiel, S Engelke | Journal: Environmental Data Science | Volume: 1 | Year: 2022 | First page: e5 | doi: 10.1017/eds.2022.4
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Spatiotemporal variation and provincial scale differences of the AOD across China during 2000–2021.
The spatiotemporal variation of the aerosol optical depth (AOD) over China was studied using MODI...
de Leeuw, G., Fan, C, Li, Z., Dong, J., Li, Y., Ou, Y., and Zhu, S. | Journal: Atmospheric Pollution Research | Volume: 13 | Year: 2022 | First page: 101359 | doi: https://doi.org/10.1016/j.apr.2022.101359
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