Technical Note: The CCCma third generation AGCM and its extension into the middle atmosphere

Scinocca, John; McFarlane, N. A.; Lazare, Mike; Li, J.; Plummer, David A.

doi:10.5194/acp-8-7055-2008

Cited by 398 publications

(196 citation statements)

References 76 publications

Supporting

Mentioning

186

Contrasting

Order By: Relevance

“…The fourth version of the Canadian RCM (Caya andLaprise 1999, de Elía andCôté 2010) used in this study was driven by the third generation of the CGCM3 (Scinocca et al 2008) being developed by the Canadian Center for Climatic Modeling and Analysis (CCCma). The CGCM3 has four main components: a general atmospheric circulation model (with 31 vertical levels), a general ocean circulation model, an ice-sea thermodynamic model and a soilvegetation model.…”

Section: Canadian Regional Climate Modelmentioning

confidence: 99%

“…The A2 emissions scenario used in this study is one of the scenarios that follows most closely recent observed emissions trends (Raupach et al 2007). The five climate projections selected are driven by five different members of the Canadian coupled global climate model (CGCM3) (Scinocca et al 2008) and provide a range of plausible future climate differentiated by natural variability (the five members of CGCM3 differ only in their initial conditions). RCMs, such as CRCM4, are especially well adapted to climatic conditions such as those found in the study area, which is located along the coast and is subject to local valley effects.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A watershed-scale study of climate change impacts on groundwater recharge (Annapolis Valley, Nova Scotia, Canada)

Rivard

Paniconi

Vigneault

et al. 2014

Hydrological Sciences Journal

View full text Add to dashboard Cite

The potential impacts of future climate change on the evolution of groundwater recharge are examined at a local scale for a 546-km 2 watershed in eastern Canada. Recharge is estimated using the infiltration model Hydrologic Evaluation of Landfill Performance (HELP), with inputs derived from five climate runs generated by a regional climate model in combination with the A2 greenhouse gas emissions scenario. The model runs project an increase in annual recharge over the 2041-2070 period. On a seasonal basis, however, a marked decrease in recharge during the summer and a marked increase during the winter are observed. The results suggest that increased evapotranspiration resulting from higher temperatures does not offset the large increase in winter infiltration. In terms of individual water budget components, clear differences are obtained for the different climate change scenarios. Monthly recharge values are also found to be quite variable, even for a given climate scenario. These findings are compared with results from two regional-scale studies.

show abstract

Section: Canadian Regional Climate Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A watershed-scale study of climate change impacts on groundwater recharge (Annapolis Valley, Nova Scotia, Canada)

Rivard

Paniconi

Vigneault

et al. 2014

Hydrological Sciences Journal

View full text Add to dashboard Cite

show abstract

“…simulations with different initial conditions, of these simulations are used. In addition, one CLM simulation uses realisation four of the CCCma3 (Scinocca et al 2008) at a T47 horizontal resolution. For both GCMs the responses to the IPCC SRES A1B forcing scenario are investigated in comparison to the twentieth century anthropogenic forcing only simulations.…”

Section: Gcmsmentioning

confidence: 99%

High resolution regional climate model simulations for Germany: Part II—projected climate changes

Wagner

Berg²,

Schädler³

et al. 2012

Clim Dyn

View full text Add to dashboard Cite

The projected climate change signals of a five-member high resolution ensemble, based on two global climate models (GCMs: ECHAM5 and CCCma3) and two regional climate models (RCMs: CLM and WRF) are analysed in this paper (Part II of a two part paper). In Part I the performance of the models for the control period are presented. The RCMs use a two nest procedure over Europe and Germany with a final spatial resolution of 7 km to downscale the GCM simulations for the present and future A1B scenario (2021-2050) time periods. The ensemble was extended by earlier simulations with the RCM REMO (driven by ECHAM5, two realisations) at a slightly coarser resolution. The climate change signals are evaluated and tested for significance for mean values and the seasonal cycles of temperature and precipitation, as well as for the intensity distribution of precipitation and the numbers of dry days and dry periods. All GCMs project a significant warming over Europe on seasonal and annual scales and the projected warming of the GCMs is retained in both nests of the RCMs, however, with added small variations. The mean warming over Germany of all ensemble members for the fine nest is in the range of 0.8 and 1.3 K with an average of 1.1 K. For mean annual precipitation the climate change signal varies in the range of -2 to 9 % over Germany within the ensemble. Changes in the number of wet days are projected in the range of ±4 % on the annual scale for the future time period. For the probability distribution of precipitation intensity, a decrease of lower intensities and an increase of moderate and higher intensities is projected by most ensemble members. For the mean values, the results indicate that the projected temperature change signal is caused mainly by the GCM and its initial condition (realisation), with little impact from the RCM. For precipitation, in addition, the RCM affects the climate change signal significantly.

show abstract

“…Herein we use output from three RCMs: regional climate model 3 (RegCM3) (22), Canadian regional climate model (CRCM) (23), and third generation Hadley Centre regional climate model (HRM3) (24). The three AOGCMs used to provide the lateral boundary conditions are Geophysical Fluid Dynamics Laboratory model (GFDL) (CM2.1) (25), Canadian model version 3 (CGCM3) (26), and Hadley Centre model, third generation (HadCM3) (27). Further, a set of numerical experiments in which the RCMs are nested within output from the NCEP-DoE global reanalysis (17) are analyzed to investigate differences in wind energy density during the historical period that derive from using AOGCM output rather than observations (as approximated in the reanalysis dataset).…”

mentioning

confidence: 99%

Assessing climate change impacts on the near-term stability of the wind energy resource over the United States

Pryor

Barthelmie

2011

Proc. Natl. Acad. Sci. U.S.A.

138

124

View full text Add to dashboard Cite

The energy sector comprises approximately two-thirds of global total greenhouse gas emissions. For this and other reasons, renewable energy resources including wind power are being increasingly harnessed to provide electricity generation potential with negligible emissions of carbon dioxide. The wind energy resource is naturally a function of the climate system because the "fuel" is the incident wind speed and thus is determined by the atmospheric circulation. Some recent articles have reported historical declines in measured near-surface wind speeds, leading some to question the continued viability of the wind energy industry. Here we briefly articulate the challenges inherent in accurately quantifying and attributing historical tendencies and making robust projections of likely future wind resources. We then analyze simulations from the current generation of regional climate models and show, at least for the next 50 years, the wind resource in the regions of greatest wind energy penetration will not move beyond the historical envelope of variability. Thus this work suggests that the wind energy industry can, and will, continue to make a contribution to electricity provision in these regions for at least the next several decades.uncertainty | wind energy density | internal climate variability | model evaluation | temporal trends T he energy sector comprises approximately two-thirds of global total greenhouse gas emissions and hence has been a focus for climate change mitigation efforts (1). Accordingly, renewable energy resources, including wind power, are being increasingly harnessed to provide virtually greenhouse gas emission-free sources of electricity. The global wind energy resource greatly exceeds current total global energy demand (2). Accordingly, a total of 47 GW of new wind energy electricity generation capacity was added worldwide during 2007 and 2008 (3), which accounted for over 10% of all new power generation capacity. New wind projects installed in the United States over the last five years have more than doubled wind-derived electricity generation capacity (2) to over 40 GW by the end of 2010 (4). Further expansion of the generation capacity is expected, and the 2008 US Department of Energy report 20% Wind by 2030 (5) proposes that by 2030, 20% of US electricity supply could derive from wind turbines.The wind energy resource is dictated by the incident wind speed and thus is determined by the atmospheric circulation. If there are substantial changes in the near-surface atmospheric flow and storm climates in a greenhouse-gas-warmed world, wind energy, or at least the spatial manifestations thereof, may be affected. Changes in measured near-surface (typically approximately 10 m agl) wind speeds over the last 30 years have been reported (e.g., 6, 7). However, assessing causality for these trends has proved difficult. Key challenges to understanding how climate nonstationarity has, or may, influence the spatial and temporal distribution of near-surface winds and the wind energy resource include:i. ...

show abstract

Technical Note: The CCCma third generation AGCM and its extension into the middle atmosphere

Cited by 398 publications

References 76 publications

A watershed-scale study of climate change impacts on groundwater recharge (Annapolis Valley, Nova Scotia, Canada)

A watershed-scale study of climate change impacts on groundwater recharge (Annapolis Valley, Nova Scotia, Canada)

High resolution regional climate model simulations for Germany: Part II—projected climate changes

Assessing climate change impacts on the near-term stability of the wind energy resource over the United States

Contact Info

Product

Resources

About