TY - JOUR
T1 - The North American multimodel ensemble
T2 - Phase-1 seasonal-to-interannual prediction; phase-2 toward developing intraseasonal prediction
AU - Kirtman, Ben P.
AU - Min, Dughong
AU - Infanti, Johnna M.
AU - Kinter, James L.
AU - Paolino, Daniel A.
AU - Zhang, Qin
AU - Van Den Dool, Huug
AU - Saha, Suranjana
AU - Mendez, Malaquias Pena
AU - Becker, Emily
AU - Peng, Peitao
AU - Tripp, Patrick
AU - Huang, Jin
AU - Dewitt, David G.
AU - Tippett, Michael K.
AU - Barnston, Anthony G.
AU - Li, Shuhua
AU - Rosati, Anthony
AU - Schubert, Siegfried D.
AU - Rienecker, Michele
AU - Suarez, Max
AU - Li, Zhao E.
AU - Marshak, Jelena
AU - Lim, Young Kwon
AU - Tribbia, Joseph
AU - Pegion, Kathleen
AU - Merryfield, William J.
AU - Denis, Bertrand
AU - Wood, Eric F.
PY - 2014/4
Y1 - 2014/4
N2 - The first change in prediction strategy naturally follows from the fact that climate variability includes a chaotic or irregular component, and, because of this, forecasts must include a quantitative assessment of this uncertainty. More importantly, the climate prediction community now understands that the potential utility of climate forecasts is based on end-user decision support. The forecasts are provided to the NOAA CPC on an experimental basis for evaluation and consolidation as a multimodel ensemble ISI prediction system. The experimental prediction system developed by this NMME team is as an 'NMME of opportunity' in that the seasonal-to-interannual prediction systems are readily available and each team member has independently developed the initialization and prediction protocol. In the months before August 2011, the hindcast data were collected and climatologies and skill assessments for each model to be applied to subsequent real-time predictions were calculated.
AB - The first change in prediction strategy naturally follows from the fact that climate variability includes a chaotic or irregular component, and, because of this, forecasts must include a quantitative assessment of this uncertainty. More importantly, the climate prediction community now understands that the potential utility of climate forecasts is based on end-user decision support. The forecasts are provided to the NOAA CPC on an experimental basis for evaluation and consolidation as a multimodel ensemble ISI prediction system. The experimental prediction system developed by this NMME team is as an 'NMME of opportunity' in that the seasonal-to-interannual prediction systems are readily available and each team member has independently developed the initialization and prediction protocol. In the months before August 2011, the hindcast data were collected and climatologies and skill assessments for each model to be applied to subsequent real-time predictions were calculated.
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U2 - 10.1175/BAMS-D-12-00050.1
DO - 10.1175/BAMS-D-12-00050.1
M3 - Article
AN - SCOPUS:84885653293
SN - 0003-0007
VL - 95
SP - 585
EP - 601
JO - Bulletin of the American Meteorological Society
JF - Bulletin of the American Meteorological Society
IS - 4
ER -