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1. 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

   Publication

2. 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

3. 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

   Publication

4. Climate of the Greenland ice sheet using a high-resolution climate model - Part 2: Near-surface climate and energy balance
   J Ettema, MR van den Broeke, E van Meijgaard, WJ van de Berg | Status: published | Journal: The Cryosphere | Year: 2010 | First page: 529 | Last page: 544 | doi: 10.5194/tc-4-529-2010

   Publication

5. Quality information for radars and radar data

   The workplan of the second phase of the EUMETNET OPERA program (2004-2006) contains a work packag...

   I Holleman, D Michelson, G Galli, U Germann, M Peura | Year: 2005

   Publication