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A global assessment of forest surface albedo and its relationships with climate and atmospheric nitrogen deposition
We present a global assessment of the relationships between the short-wave surface albedo of fore...
S Leonardi, F Magnani, A Nolè, TPC van Noije, M Borghetti | Status: published | Journal: Glob. Change Biol. | Volume: 21 | Year: 2015 | First page: 287 | Last page: 298 | doi: 10.1111/gcb.12681
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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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HETEAC – the Hybrid End-To-End Aerosol Classification model for EarthCARE
The Hybrid End-To-End Aerosol Classification (HETEAC) model for the Earth Clouds, Aerosols and Ra...
Wandinger, U., Floutsi, A. A., Baars, H., Haarig, M., Ansmann, A., Hünerbein, A., Docter, N., Donovan, D., van Zadelhoff, G.-J., Mason, S., and Cole, J | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | First page: 2485 | Last page: 2510 | doi: 10.5194/amt-16-2485-2023
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Seasonal Climate Extremes: Mechanisms, Predictability & Responses to Global Warming
Climate extremes are rarely occurring natural phenomena in the climate system. They often pose on...
ME Shongwe | University: Utrecht University | Year: 2010
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A global aerosol classification algorithm incorporating multiple satellite data sets of aerosol and trace gas abundances
Detecting the optical properties of aerosols using passive satellite-borne measurements alone is ...
MJM Penning de Vries, S Beirle, C Hörmann, JW Kaiser, P Stammes, LG Tilstra, ONE Tuinder, T Wagner | Status: published | Journal: Atm. Chem. Phys. | Volume: 15 | Year: 2015 | First page: 10597 | Last page: 10618 | doi: 10.5194/acp-15-10597-2015
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