Climate Model Evaluation
Climate
Process Teams (CPTs)
- 2010 CPT Awards
- CPT-1: Internal-Wave Driven Mixing in Global
Ocean Models
- CPT-2: Ocean Mixing Processes Associated with
High Spatial Heterogeneity in Sea Ice and the Implications
for Climate Models
- CPT-3: Cloud Parameterization and Aerosol
Indirect Effects
- CPT-4: Stratocumulus to Cumulus Transition
- CPT 2009 Announcement
- Review of the Climate Process Teams (pdf)
- CPT
Announcement (Feb 27, 2003) - Following
the announcement, three separate CPTS were established by U.S.
CLIVAR. These
CPTs are small groups of observationalists, theorecticians,
small-scale modelers, and scientists at modeling centers working
closely together to improve parameterizations of a particular
process in one or more IPCC-class models.
Analysis of Climate Model Simulations
for the IPCC Fifth Assessment Report (CMEP 2011) - To
promote diagnostic analysis of studies of late 19th - 20th century
simulations through intercomparisons and comparisons with observations.
The analysis of multiple models and ensembles is especially encouraged.
Examinations of physical climate features and processes such
as regional climate, climate variability and trends, modes of
natural variability, hydrological cycle behavior, and extreme
events are appropriate. In addition, we encourage analysis of
initialized decadal hindcasts and predictions for predictability
studies of the climate system on interannual to decadal time
scales.
Climate
Model Evaluation Project (CMEP) - The
objective of this project is to increase community-wide diagnostic
research into the quality of model simulations, leading to more
robust evaluations of model predictions and a better quantification
of uncertainty in projections of future climate. The results
of this research will be used for the subsequent evaluations
of the quality of U.S. model global and regional climate projections
of the 21st century and beyond in the context of an international
multi-model dataset.
Drought
in Coupled Models Project (DRICOMP) - Drought
in Coupled Models Project (DRICOMP), focuses on evaluation of
a variety of existing model products to address issues such as
the roles of the oceans and the seasonal cycle in drought, the
impacts of drought on water availability, and distinctions between
drought and drying.The objective of DRICOMP is to increase community-wide
diagnostic research into the physical mechanisms of drought and
to evaluate its simulation in current models. DRICOMP will lead
to more robust evaluations of model projections of drought risk
and severity, and thus to a better quantification of the uncertainty
in such projections.
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