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An empirical model for probabilistic decadal prediction: global attribution and regional hindcasts
Empirical models, designed to predict surface variables over seasons to decades ahead, provide us...
EB Suckling, GJ van Oldenborgh, JM Eden, E Hawkins | Status: published | Journal: Clim. Dyn. | Year: 2016 | doi: 10.1007/s00382-016-3255-8
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Time series transformation tool: development and use in CCsP projects
Parallel to the development of the KNMI’06 climate scenarios in 2006, a tool was developed to
gen...
J Bessembinder, A Bakker, R Leander, A Feijt | Year: 2011
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In Situ Aircraft Measurements of CO2 and CH4: Mapping Spatio-Temporal Variations over Western Korea in High-Resolutions
A cavity ring-down spectroscopy (CRDS) G-2401m analyzer onboard a Beechcraft King Air
350, a newK...
S Li, Y Kim, J Kim, ST Kenea, TY Goo, L Labzovskii, YH Byun | Status: published | Journal: Remote Sensing | Volume: 12 | Year: 2020 | doi: doi:10.3390/rs12183093
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Field calibration of electrochemical NO2 sensors in a citizen science context
In many urban areas the population is exposed to elevated levels of air pollution. However, real-...
B Mijling, Q Jiang, D de Jonge, S Bocconi | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 11 | Year: 2018 | First page: 1297 | Last page: 1312 | doi: 10.5194/amt-11-1297-2018
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Anthropogenic aerosol forcing – insights from multiple estimates from aerosol-climate models with reduced complexity
This study assesses the change in anthropogenic aerosol forcing from the mid-1970s to the mid-200...
S Fiedler, S Kinne, WTK Huang, P Räisänen, D O'Donnell, N Bellouin, P Stier, J Merikanto, T van Noije, R Makkonen, U Lohmann | Status: published | Journal: Atmos. Chem. Phys. | Volume: 19 | Year: 2019 | First page: 6821 | Last page: 6841 | doi: 10.5194/acp-19-6821-2019
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