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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
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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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Towards an integrated seasonal forecasting system for South America
This study proposes an integrated seasonal forecasting system for producing improved and well-cal...
CAS Coelho, DB Stephenson, MA Balmaseda, FJ Doblas-Reyes, GJ van Oldenborgh | Status: published | Journal: J. Climate | Volume: 19 | Year: 2006 | First page: 3704 | Last page: 3721 | doi: 10.1175/JCLI3801.1
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A Bayesian approach for multi-model downscaling: Seasonal forecasting of regional rainfall and river flows in South America
This study addresses three issues: spatial downscaling, calibration, and combination of seasonal ...
CAS Coelho, DB Stephenson, FJ Doblas-Reyes, M Balmaseda, GJ van Oldenborgh | Status: published | Journal: Meteorological Applications (Royal Met. Society) | Volume: 13 | Year: 2006 | First page: 73 | Last page: 82 | doi: 10.1017/S1350482705002045
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