37th NOAA CDPW Contributions
A comparison of skill of CFSv1 and CFSv2 hindcasts of Nino 3.4 SST
Anthony G. Barnston, and Michael K. Tippett
Improvement of grand multi-model ensemble prediction skills for the coupled models of APCC/ENSEMBLES using a climate filter
Doo Young Lee, and Co-authors
Homogeneous and heterogeneous predictability and forecast skill in MME
Huug van den Dool, Emily Becker, and Malaquias Peņa
Evaluation of the National Multi-Model Ensemble System for seasonal and monthly prediction
Emily Becker, and Co-authors
A comparison of skill between two versions of the NCAP Climate Forecast System (CFS) and CPC’s operational short-lead seasonal outlooks
Peitao Peng, Anthony G. Barnston, and Arun Kumar
Prediction skill of monthly SST in the North Atlantic Ocean in NCEP Climate Forecast System version 2
Zeng-Zhen Hu, and Co-authors
Characteristics of oceanic response to ENSO estimated from simulations with the NCEP Climate Forecast System
Hui Wang, Arun Kumar, and Wanqiu Wang
36th NOAA CDPW Contributions
Skill of real-time seasonal
ENSO model predictions during 2002-2011 — Is our
Anthony G. Barnston et al.
Preliminary evaluation of
multi-Model ensemble system for monthly and seasonal
Zhang et al.
Implementation of land
information system in the NCEP operational Climate
Forecast System CFSv2
Meng et al.
Seasonal prediction of
ecosystems, fire, carbon using NCEP/CFS and a
dynamic vegetation model
Zeng et al.
Low-frequency SST variability
in CMIP5 historical integrations
Stefanova and Timothy LaRow
Introduction to the KMA-Met
Office Joint Seasonal Forecasting System and
evaluation of its hindcast ensemble simulations
Kang et al.
Problem of cloud overlap in
radiation process in JMA global NWP model
CTB CFSv2 Evaluation Workshop
CTB CFSv2 Evaluation Workshop was held in
College Park, Maryland, 30 April - 1 May 2012. The purpose of this
workshop was to evaluate CFSv2 in terms of its utility for climate
modeling research and as a climate forecasting tool. The objectives
of this workshop were to bring NCEP and the broader climate
community together to:
document progress in model
performance from CFSv1 to CFSv2,
including the impacts of reanalysis,
initializing atmosphere/ocean/ land,
and the change in the model itself;
identify key model biases and
deficiencies in the CFSv2;
help identify most promising
research directions for the
development of CFSv3, for example,
to design experiments to understand
how to incrementally improve upon
CFSv2, and to test coupling of the
latest GFS with state-of-the-art
Climate Dynamics Topical Collection on Climate Forecast System Version 2 (CFSv2), ISSN: 0930-7575 (Print) 1432-0894 (Online).
CFS v2 Documentations
Saha, S. and Co-authors, 2012: The NCEP Climate Forecast System
version 2. J. Climate,
Saha, S. and Coauthors, 2010:
The NCEP Climate Forecast System reanalysis.
Bull. Amer. Meteor.Soc.,91, 1015-1057.
Saha, S. and Coauthors, 2006:
The NCEP Climate Forecast System.
J. Climate,19, 3483-3517.
Behringer, D., 2007:
The Global Ocean Data Assimilation System (GODAS) at NCEP. Preprints,
11th Symp. on Integrated Observing and Assimilation Systems for Atmosphere,
Oceans, and Land Surface, AMS 87th Annual Meeting, San Antonio, TX.