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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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Comment on Ashraf et al. Worsening situation of smog in Pakistan: A tale of three cities. Ann Med Surg (Lond) 2022, 79, 103947
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Bilal M., de Leeuw G., Nichol J.E., Bleiweiss M.P., Yang L., Chai H., Mhawish A., Ali M.A., | Journal: Annals of Medicine and Surgery | Volume: 79 | Year: 2022 | First page: 103947 | doi: https://doi.org/10.1016/j.amsu.2022.104966
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Relating rainfall retrieval parameters to network and environmental features to improve rainfall estimates from commercial microwave links in the tropics
Potentially the greatest benefit of Commercial Microwave Links (CMLs) as opportunistic rainfall s...
Walraven, B., A. Overeem, M. Coenders, R. Hut, L. v. d. Valk, R. Uijlenhoet | Journal: J. Hydrometeor. | Volume: 25 | Year: 2024 | First page: 1769 | Last page: 1791 | doi: 10.1175/JHM-D-24-0023.1
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Quantitative precipitation estimation from weather radars, personal weather stations and commercial microwave links
The focus of this book chapter is on quantitative precipitation estimation (QPE) by ground-based ...
Aart Overeem, Remko Uijlenhoet, Hidde Leijnse | Year: 2024
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An improved meteorological variables-based aerosol optical depth estimation method by combining a physical mechanism model with a two-stage model
A two-stage model integrating a spatiotemporal linear mixed effect (STLME) and a geographic
weigh...
Li, F., Shi, X., Wang, S., Wang, Z., de Leeuw, G., Li, Z., Li, L., Wang, W., Zhang, Y., Zhang, L. | Journal: Chemosphere | Volume: 363 | Year: 2024 | First page: 142820 | doi: https://doi.org/10.1016/j.chemosphere.2024.142820
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