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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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Ocean signatures in the total flux and polarization spectra of Earth-like exoplanets
Context. Numerical simulations of starlight that is reflected by Earth-like exoplanets predict ha...
Trees, V.J.H. and Stam, D.M | Journal: Astronomy & Astrophysics | Year: 2022 | doi: https://doi.org/10.1051/0004-6361/202243591
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Spatiotemporal changes in aerosols over Bangladesh using 18 years of MODIS and Reanalyses data.
In this study, combined Dark Target and Deep Blue (DTB) aerosol optical depth at 550 nm (AOD550 n...
Ali, M.A. Bilal, M., Wang, Y., Qiu, Z., Nichol, J.E., Mhawish, A., de Leeuw, G., Zhang, Y., Shahid, S., Almazroui, M., Islam, M.N., Rahman, M.A., Mondol, S.K., Tiwari, P., Khedher, K.M. | Journal: Journal of Environmental Management | Volume: 35 | Year: 2022 | First page: 115097 | doi: https://doi.org/10.1016/j.jenvman.2022.115097
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Quantification of methane emissions from hotspots and during COVID-19 using a global atmospheric inversion
Concentrations of atmospheric methane (CH4), the second most important greenhouse gas, continue t...
McNorton J., Bousserez N., Agusti-Panareda A., Balsamo G., Cantarello L., Engelen R., Huijnen V., Inness A., Kipling Z., Parrington M., Ribas R. | Journal: Atmospheric Chemistry and Physics | Volume: 22 (9) | Year: 2022 | First page: 5961 | Last page: 5981 | doi: 10.5194/acp-22-5961-2022
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Analysis of Data-Derived SeaWinds Normalized Radar Cross-Section Noise
The normalized standard deviation (Kp) of the noise that affects scatterometer Normalized Radar C...
Giuseppe Grieco, Ad Stoffelen, Anton Verhoef, Jur Vogelzang, Marcos Portabella | Journal: Remote Sensing | Volume: 14 | Year: 2022 | doi: https://doi.org/10.3390/rs14215444
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