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Cloud detection and classification based on MAX-DOAS observations
Multi-axis differential optical absorption spec- troscopy (MAX-DOAS) observations of aerosols and...
T Wagner, A Apituley, S Beierle, S Dörner, U Friess, J Remmers, R Shaiganfar | Status: published | Journal: Atmospheric Measurement Techniques | Year: 2014 | First page: 1289 | Last page: 1320 | doi: 10.5194/amt-7-1289-2014
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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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A global empirical system for probabilistic seasonal climate prediction
Preparing for episodes with risks of anomalous weather a month to a year ahead is an important ch...
JM Eden, GJ van Oldenborgh, E Hawkins, EB Suckling | Status: published | Journal: Geoscientific Model Development | Volume: 8 | Year: 2015 | First page: 3947 | Last page: 3973 | doi: doi:10.5194/gmd-8-3947-2015
Publication
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A global empirical system for probabilistic seasonal climate prediction
Preparing for episodes with risks of anomalous weather a month to a year ahead is an important ch...
JM Eden, GJ van Oldenborgh, E Hawkins, EB Suckling | Status: published | Journal: Geoscientific Model Development | Volume: 8 | Year: 2015 | First page: 3947 | Last page: 3971 | doi: doi:10.5194/gmd-8-3947-2015
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Supermodeling Dynamics and Learning Mechanisms.
At a dozen or so institutes around the world, comprehensive climate models are being developed an...
W Wiegerinck, M Mirchev, W Burgers, FM Selten | Year: 2014
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