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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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A simple model for predicting the statistics of spatiotemporal extremes of sub-daily precipitation
For a single site (of a rain gauge, say), the statistics of extreme precipitation are convenientl...
Cees de Valk, Aart Overeem | Journal: Weather and Climate Extremes | Volume: 36 | Year: 2022 | First page: 1 | Last page: 12 | doi: 10.1016/j.wace.2022.100424
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Attributing and Projecting Heatwaves Is Hard: We Can Do Better
It sounds straightforward. As the Earth warms due to the increased concentration of greenhouse ga...
Geert Jan Van Oldenborgh, Michael F. Wehner, Robert Vautard, Friederike E. L. Otto, Sonia I. Seneviratne, Peter A. Stott, Gabriele C. Hegerl, Sjoukje Y. Philip, Sarah F. Kew | Journal: Earth's Future | Volume: 10 | Year: 2022 | First page: e2021EF002271 | doi: https://doi.org/10.1029/2021EF002271
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On the air-sea coupling in the WAM wave model
Wind generates waves on the surface of the ocean. Modifications of the sea state influence the wi...
DF Doortmont, VK Makin | Year: 2000 | Pages: 55
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Meteorological and anthropogenic contributions to changes in the Aerosol Optical Depth (AOD) over China during the last decade.
To reduce air pollution over China, a series of measures to decrease concentrations of aerosols a...
de Leeuw, G., Kang, H., Fan, C., Li, Z., Fang, C., Zhang, Y. | Journal: Atm. Env.. | Volume: 301 | Year: 2023 | First page: 119676 | doi: https://doi.org/10.1016/j.atmosenv.2023.119676
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