Sentences with phrase «atmosphere model version»

The model physics is largely based on the Community Climate System Model version 4 (Gent et al. 2011), which includes atmospheric physics of the Community Atmosphere Model version 4 (CAM4)(Neale et al. 2013).

The PNNL research team transferred a set of Community Atmosphere Model version 5.1 (CAM5) physical parameters into the regional model Weather Research and Forecasting with Chemistry (WRF - Chem).

«Abstract: The Community Atmosphere Model Version 5 is run at horizontal grid spacing of 2, 1, 0.5, and 0.25 °, with the meteorology nudged toward the Year Of Tropical Convection analysis, and cloud simulators and the collocated A-Train satellite observations are used to explore the resolution dependence of aerosol - cloud interactions.

Essentially, the team «dyed» 16 sources of soot in a well - known climate model called the Community Atmosphere Model version 5, also known as CAM5.

In a study supported by the Office of Biological and Environmental Research's Atmospheric System Research program, scientists used the Community Atmosphere Model version 4 to examine the relative importance of heating at different altitudes to the MJO.

The study also suggests that the standard Community Atmosphere Model version 4 has difficulty simulating the MJO because it produces sufficient upper level heating but not enough lower level heating.

Not exact matches

NASA's Goddard Earth Observing System Version 5 (GEOS - 5) model simulates the atmosphere in 3 - D, which allows the research team to follow atmospheric gases from their sources on the ground through their journey to the upper atmosphere.

In his career - long support of CESM, Rasch was formerly co-chair of the Atmospheric Model Working Group and team lead for the version five development of CESM's atmospheric component, called the Community Atmosphere Model (CAM5).

The Met Office Hadley Centre (Hadley Centre for Climate Prediction and Research) climate change model, Hadley Centre Coupled Model, version 3 (HadCM3)[53], a coupled atmosphere - ocean general circulation model, was used for the time intervals 2020, 2050 and 2080 (note these date represent a time windows of ten years either side of the time interval date, i.e. 2020 is an average of the years 2010 — 2029, 2050 for 2040 — 2059 and 2080 for 2070 — 2089), under three emission scenarios of the IPCC Special Report on Emissions Scenarios (SRES)[54]: scenario A1B (maximum energy requirements; emissions differentiated dependent on fuel sources; balance across sources), A2A (high energy requirements; emissions less than A1 / Fl) and B2A (lower energy requirements; emissions greater thanmodel, Hadley Centre Coupled Model, version 3 (HadCM3)[53], a coupled atmosphere - ocean general circulation model, was used for the time intervals 2020, 2050 and 2080 (note these date represent a time windows of ten years either side of the time interval date, i.e. 2020 is an average of the years 2010 — 2029, 2050 for 2040 — 2059 and 2080 for 2070 — 2089), under three emission scenarios of the IPCC Special Report on Emissions Scenarios (SRES)[54]: scenario A1B (maximum energy requirements; emissions differentiated dependent on fuel sources; balance across sources), A2A (high energy requirements; emissions less than A1 / Fl) and B2A (lower energy requirements; emissions greater thanModel, version 3 (HadCM3)[53], a coupled atmosphere - ocean general circulation model, was used for the time intervals 2020, 2050 and 2080 (note these date represent a time windows of ten years either side of the time interval date, i.e. 2020 is an average of the years 2010 — 2029, 2050 for 2040 — 2059 and 2080 for 2070 — 2089), under three emission scenarios of the IPCC Special Report on Emissions Scenarios (SRES)[54]: scenario A1B (maximum energy requirements; emissions differentiated dependent on fuel sources; balance across sources), A2A (high energy requirements; emissions less than A1 / Fl) and B2A (lower energy requirements; emissions greater thanmodel, was used for the time intervals 2020, 2050 and 2080 (note these date represent a time windows of ten years either side of the time interval date, i.e. 2020 is an average of the years 2010 — 2029, 2050 for 2040 — 2059 and 2080 for 2070 — 2089), under three emission scenarios of the IPCC Special Report on Emissions Scenarios (SRES)[54]: scenario A1B (maximum energy requirements; emissions differentiated dependent on fuel sources; balance across sources), A2A (high energy requirements; emissions less than A1 / Fl) and B2A (lower energy requirements; emissions greater than B1).

In the 1960s, versions of these weather prediction models were developed to study the general circulation of the atmosphere, i.e., the physical statistics of weather systems satisfying requirements of conservation of mass, momentum, and energy.

Constraining the influence of natural variability to improve estimates of global aerosol indirect effects in a nudged version of the Community Atmosphere Model 5.

The response of US summer rainfall to quadrupled CO2 climate change in conventional and superparameterized versions of the NCAR Community Atmosphere Model, Journal of Advances in Modeling Earth Systems, 06, doi: 10.1002 / 2014MS000306.

The experiments were performed with ModelE2, a new version of the NASA Goddard Institute for Space Sciences (GISS) coupled general circulation model that includes three different versions for the atmospheric composition components: a noninteractive version (NINT) with prescribed composition and a tuned aerosol indirect effect (AIE), the TCAD version with fully interactive aerosols, whole - atmosphere chemistry, and the tuned AIE, and the TCADI version which further includes a parameterized first indirect aerosol effect on clouds.

The figure at the top from Golaz et al, 2013 shows simulations from three versions of the CM3 coupled atmosphere - ocean model developed at GFDL (Donner, et al 2011).

We use an atmospheric general circulation model (AGCM) with a well - resolved stratosphere called the Whole Atmosphere Community Climate Model version 4 (WACCM4; with specified chemismodel (AGCM) with a well - resolved stratosphere called the Whole Atmosphere Community Climate Model version 4 (WACCM4; with specified chemisModel version 4 (WACCM4; with specified chemistry).

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.

The model used for both ensembles is the NCAR Community Atmosphere Model, version 3 (CAM3), configured at T85 (1.4 ° latitude × 1.4 ° longitude) horizontal resolution (Hurrell et al. 2model used for both ensembles is the NCAR Community Atmosphere Model, version 3 (CAM3), configured at T85 (1.4 ° latitude × 1.4 ° longitude) horizontal resolution (Hurrell et al. 2Model, version 3 (CAM3), configured at T85 (1.4 ° latitude × 1.4 ° longitude) horizontal resolution (Hurrell et al. 2006).

Principal changes in the physics in the current version of the model are use of a step - mountain C - grid atmospheric vertical coordinate [109], addition of a drag in the grid - scale momentum equation in both atmosphere and ocean based on subgrid topography variations, and inclusion of realistic ocean tides based on exact positioning of the Moon and Sun.

Models include the Geophysical Fluid Dynamics Laboratory (GFDL) model, the National Aeronautics and Space Administration (NASA) Seasonal to Interannual Prediction Program (NSIPP) model, the National Center for Atmospheric Research Community Atmosphere Model (CAM3), the Canadian Centre for Climate Modelling and Analysis (CCCma) model, the Centre for Climate System Research (CCSR) model, the Bureau of Meteorology Research Centre (BMRC) model and the Hadley Centre Atmospheric Model version 3 (Hadmodel, the National Aeronautics and Space Administration (NASA) Seasonal to Interannual Prediction Program (NSIPP) model, the National Center for Atmospheric Research Community Atmosphere Model (CAM3), the Canadian Centre for Climate Modelling and Analysis (CCCma) model, the Centre for Climate System Research (CCSR) model, the Bureau of Meteorology Research Centre (BMRC) model and the Hadley Centre Atmospheric Model version 3 (Hadmodel, the National Center for Atmospheric Research Community Atmosphere Model (CAM3), the Canadian Centre for Climate Modelling and Analysis (CCCma) model, the Centre for Climate System Research (CCSR) model, the Bureau of Meteorology Research Centre (BMRC) model and the Hadley Centre Atmospheric Model version 3 (HadModel (CAM3), the Canadian Centre for Climate Modelling and Analysis (CCCma) model, the Centre for Climate System Research (CCSR) model, the Bureau of Meteorology Research Centre (BMRC) model and the Hadley Centre Atmospheric Model version 3 (Hadmodel, the Centre for Climate System Research (CCSR) model, the Bureau of Meteorology Research Centre (BMRC) model and the Hadley Centre Atmospheric Model version 3 (Hadmodel, the Bureau of Meteorology Research Centre (BMRC) model and the Hadley Centre Atmospheric Model version 3 (Hadmodel and the Hadley Centre Atmospheric Model version 3 (HadModel version 3 (HadAM3).

A recent study by C10 analysed a number of different climate variables in a set of SMEs of HadCM3 (Gordon et al. 2000, atmosphere — ocean coupled version of HadSM3) from the point of view of global - scale model errors and climate change forcings and feedbacks, and compared them with variables derived from the CMIP3 MME. Knutti et al. (2006) examined another SME based on the HadSM3 model, and found a strong relationship between the magnitude of the seasonal cycle and climate sensitivity, which was not reproduced in the CMIP3 ensemble.

Recent calculations of atmospheric sensitivity to increased concentrations of CO2 in the atmosphere are based on observations and provide values for sensitivity that are much lower than previous versions that were based on models.