Statistical downscaling of general
circulation model outputs to precipitation, evaporation and temperature using a key station approach
Previous versions of the RSS dataset have used a diurnal climatology derived from general
circulation model output to remove the effects of drifting local measurement time.
This record has previously been analyzed to study interannual and interdecadal variability up to the 25 - y period (4); interannual winter variability and its association with solar forcing (5); and its variance at interannual, interdecadal timescales compared with a general
circulation model output (6).
Not exact matches
CMIP was established as a resource for climate modelers, providing a standard protocol for studying the
output of coupled atmosphere - ocean general
circulation models so that these
models can be compared and validated.
This year we received 14 June SIO submissions from dynamical
models, of which 3 were from ice - ocean
models forced by atmospheric reanalysis or other atmospheric
model output and 12 were from fully - coupled general
circulation models.
Possible reasons include increased oceanic
circulation leading to increased subduction of heat into the ocean, higher than normal levels of stratospheric aerosols due to volcanoes during the past decade, incorrect ozone levels used as input to the
models, lower than expected solar
output during the last few years, or poorly
modeled cloud feedback effects.
The
output from all the atmosphere - ice - ocean - land coupled general
circulation models (GCMs) is hosted in the Lawrence Livermore National Laboratory database.
The question is «evidence of what» a... ***** Since it is putatively a General
Circulation Model of climate, one would expect it's
output to deal with climate.
Output from global
circulation models indicates that climate variability will continue to be an important characteristic of the region in the future [52], but that climate change may increase the risk of extreme climatic events such as multi-decade droughts and extreme winter precipitation [53], [54].
This study evaluates the forecast skill of the fourth version of the Canadian coupled ocean — atmosphere general
circulation model (CanCM4) and its
model output statistics (MOS) to forecast the seasonal rainfall in Malaysia, particularly during early (October — November — December) and late (January — February — March) winter monsoon periods.
Thus, while there are physical laws in existing
models, their
outputs (including apparent
circulation power) reflect an empirical process of calibration and fitting.
For the July report, we received 14 June SIO submissions from dynamical
models: 5 from ice - ocean
models forced by atmospheric reanalysis or other atmospheric
model output (in green in Figure 3) and 9 from fully coupled general
circulation models (in blue in Figure 3).
13.2.1 Incremental Scenarios for Sensitivity Studies 13.2.2 Analogue Scenarios 13.2.2.1 Spatial analogues 13.2.2.2 Temporal analogues 13.2.3 Scenarios Based on
Outputs from Climate
Models 13.2.3.1 Scenarios from General Circulation Models 13.2.3.2 Scenarios from simple climate models 13.2.4 Other Types of Sce
Models 13.2.3.1 Scenarios from General
Circulation Models 13.2.3.2 Scenarios from simple climate models 13.2.4 Other Types of Sce
Models 13.2.3.2 Scenarios from simple climate
models 13.2.4 Other Types of Sce
models 13.2.4 Other Types of Scenarios
CMIP was established as a resource for climate modelers, providing a standard protocol for studying the
output of coupled atmosphere - ocean general
circulation models so that these
models can be compared and validated.
Climate change was assessed by means of two Long Ashton Research Station - Weather Generator (LARS - WG) weather generators and all
outputs from the available general
circulation models in the
Model for the Assessment of Greenhouse - gas Induced Climate Change - SCENario GENerator (MAGICC - SCENGEN) software, in combination with different emission scenarios at the regional scale, while the Providing Regional Climates for Impacts Studies (PRECIS) model has been used for projections at the local s
Model for the Assessment of Greenhouse - gas Induced Climate Change - SCENario GENerator (MAGICC - SCENGEN) software, in combination with different emission scenarios at the regional scale, while the Providing Regional Climates for Impacts Studies (PRECIS)
model has been used for projections at the local s
model has been used for projections at the local scale.
For this and other reasons, it is not possible to obtain climate sensitivity numerically using general -
circulation models: for, as Akasofu (2008) has pointed out, climate sensitivity must be an input to any such
model, not an
output from it.
Numerous regionalisation techniques [8] have been employed to obtain high - resolution, SRES - based climate scenarios, nearly always using low - resolution General
Circulation Model (GCM)
outputs as a starting point.