Articles | Volume 7, issue 2
https://doi.org/10.5194/gmd-7-545-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-7-545-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
04 Apr 2014
Development and technical paper |
| 04 Apr 2014
Representation of climate extreme indices in the ACCESS1.3b coupled atmosphere–land surface model
R. Lorenz
ARC Centre of Excellence for Climate System Science and Climate Change Research Centre, University of New South Wales, Australia
A. J. Pitman
ARC Centre of Excellence for Climate System Science and Climate Change Research Centre, University of New South Wales, Australia
M. G. Donat
ARC Centre of Excellence for Climate System Science and Climate Change Research Centre, University of New South Wales, Australia
A. L. Hirsch
ARC Centre of Excellence for Climate System Science and Climate Change Research Centre, University of New South Wales, Australia
J. Kala
ARC Centre of Excellence for Climate System Science and Climate Change Research Centre, University of New South Wales, Australia
E. A. Kowalczyk
Centre for Australian Weather and Climate Research, CSIRO Marine and Atmospheric Research, Australia
R. M. Law
Centre for Australian Weather and Climate Research, CSIRO Marine and Atmospheric Research, Australia
J. Srbinovsky
Centre for Australian Weather and Climate Research, CSIRO Marine and Atmospheric Research, Australia
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Cited
28 citations as recorded by crossref.
- Climate Model Evaluation in the Presence of Observational Uncertainty: Precipitation Indices over the Contiguous United States P. Gibson et al. 10.1175/JHM-D-18-0230.1
- Modelling evapotranspiration during precipitation deficits: identifying critical processes in a land surface model A. Ukkola et al. 10.5194/hess-20-2403-2016
- Assessing the Representation of Australian Regional Climate Extremes and Their Associated Atmospheric Circulation in Climate Models C. Tozer et al. 10.1175/JCLI-D-19-0287.1
- Implementation of a soil albedo scheme in the CABLEv1.4b land surface model and evaluation against MODIS estimates over Australia J. Kala et al. 10.5194/gmd-7-2121-2014
- Uncertainties on Climate Extreme Indices Estimated From U.S. Climate Reference Network (USCRN) Near‐Surface Temperatures F. Madonna et al. 10.1029/2022JD038057
- Identifying areas at risk of drought‐induced tree mortality across South‐Eastern Australia M. De Kauwe et al. 10.1111/gcb.15215
- Comparison of tree transpiration under wet and dry canopy conditions in a Costa Rican premontane tropical forest L. Aparecido et al. 10.1002/hyp.10960
- A multidecadal assessment of climate indices over Europe F. Domínguez-Castro et al. 10.1038/s41597-020-0464-0
- Diurnal temperature range in winter wheat–growing regions of China: CMIP6 model evaluation and comparison W. Xie et al. 10.1007/s00704-023-04385-5
- Evaluating a land surface model at a water-limited site: implications for land surface contributions to droughts and heatwaves M. Mu et al. 10.5194/hess-25-447-2021
- Improved representations of coupled soil–canopy processes in the CABLE land surface model (Subversion revision 3432) V. Haverd et al. 10.5194/gmd-9-3111-2016
- Towards species‐level forecasts of drought‐induced tree mortality risk M. De Kauwe et al. 10.1111/nph.18129
- A test of an optimal stomatal conductance scheme within the CABLE land surface model M. De Kauwe et al. 10.5194/gmd-8-431-2015
- Land-Surface Characteristics and Climate in West Africa: Models’ Biases and Impacts of Historical Anthropogenically-Induced Deforestation S. Sy et al. 10.3390/su9101917
- Do land surface models need to include differential plant species responses to drought? Examining model predictions across a mesic-xeric gradient in Europe M. De Kauwe et al. 10.5194/bg-12-7503-2015
- Earlier green‐up and spring warming amplification over Europe S. Ma et al. 10.1002/2016GL068062
- Implementation of an optimal stomatal conductance scheme in the Australian Community Climate Earth Systems Simulator (ACCESS1.3b) J. Kala et al. 10.5194/gmd-8-3877-2015
- How Credibly Do CMIP6 Simulations Capture Historical Mean and Extreme Precipitation Changes? M. Donat et al. 10.1029/2022GL102466
- Intraseasonal versus Interannual Measures of Land–Atmosphere Coupling Strength in a Global Climate Model: GLACE-1 versus GLACE-CMIP5 Experiments in ACCESS1.3b R. Lorenz et al. 10.1175/JHM-D-14-0206.1
- Assessing the potential for crop albedo enhancement in reducing heatwave frequency, duration, and intensity under future climate change J. Kala et al. 10.1016/j.wace.2022.100415
- Development and evaluation of a new soil moisture and runoff parameterization for the CABLE LSM including subgrid‐scale processes M. Decker 10.1002/2015MS000507
- An optimal ensemble of the CoLM for simulating the carbon and water fluxes over typical forests in China Y. Li et al. 10.1016/j.jenvman.2024.120740
- Global response of terrestrial gross primary productivity to climate extremes M. Yuan et al. 10.1016/j.scitotenv.2020.142337
- Passive Design Strategies in Focus: Implications of Climate Change on New Buildings and Renovations C. Ganem-Karlen & G. Barea-Paci 10.1115/1.4064121
- Stationary and Non-stationary Extreme Value Approaches for Modelling Extreme Temperature: the Case of Riyadh City, Saudi Arabia B. Raggad 10.1007/s10666-017-9588-9
- Examining the role of environmental memory in the predictability of carbon and water fluxes across Australian ecosystems J. Cranko Page et al. 10.5194/bg-19-1913-2022
- Evaluation of CMIP6 AMIP climate simulations with the ACCESS-AM2 model R. Bodman et al. 10.1071/ES19033
- Impact of the representation of stomatal conductance on model projections of heatwave intensity J. Kala et al. 10.1038/srep23418
28 citations as recorded by crossref.
- Climate Model Evaluation in the Presence of Observational Uncertainty: Precipitation Indices over the Contiguous United States P. Gibson et al. 10.1175/JHM-D-18-0230.1
- Modelling evapotranspiration during precipitation deficits: identifying critical processes in a land surface model A. Ukkola et al. 10.5194/hess-20-2403-2016
- Assessing the Representation of Australian Regional Climate Extremes and Their Associated Atmospheric Circulation in Climate Models C. Tozer et al. 10.1175/JCLI-D-19-0287.1
- Implementation of a soil albedo scheme in the CABLEv1.4b land surface model and evaluation against MODIS estimates over Australia J. Kala et al. 10.5194/gmd-7-2121-2014
- Uncertainties on Climate Extreme Indices Estimated From U.S. Climate Reference Network (USCRN) Near‐Surface Temperatures F. Madonna et al. 10.1029/2022JD038057
- Identifying areas at risk of drought‐induced tree mortality across South‐Eastern Australia M. De Kauwe et al. 10.1111/gcb.15215
- Comparison of tree transpiration under wet and dry canopy conditions in a Costa Rican premontane tropical forest L. Aparecido et al. 10.1002/hyp.10960
- A multidecadal assessment of climate indices over Europe F. Domínguez-Castro et al. 10.1038/s41597-020-0464-0
- Diurnal temperature range in winter wheat–growing regions of China: CMIP6 model evaluation and comparison W. Xie et al. 10.1007/s00704-023-04385-5
- Evaluating a land surface model at a water-limited site: implications for land surface contributions to droughts and heatwaves M. Mu et al. 10.5194/hess-25-447-2021
- Improved representations of coupled soil–canopy processes in the CABLE land surface model (Subversion revision 3432) V. Haverd et al. 10.5194/gmd-9-3111-2016
- Towards species‐level forecasts of drought‐induced tree mortality risk M. De Kauwe et al. 10.1111/nph.18129
- A test of an optimal stomatal conductance scheme within the CABLE land surface model M. De Kauwe et al. 10.5194/gmd-8-431-2015
- Land-Surface Characteristics and Climate in West Africa: Models’ Biases and Impacts of Historical Anthropogenically-Induced Deforestation S. Sy et al. 10.3390/su9101917
- Do land surface models need to include differential plant species responses to drought? Examining model predictions across a mesic-xeric gradient in Europe M. De Kauwe et al. 10.5194/bg-12-7503-2015
- Earlier green‐up and spring warming amplification over Europe S. Ma et al. 10.1002/2016GL068062
- Implementation of an optimal stomatal conductance scheme in the Australian Community Climate Earth Systems Simulator (ACCESS1.3b) J. Kala et al. 10.5194/gmd-8-3877-2015
- How Credibly Do CMIP6 Simulations Capture Historical Mean and Extreme Precipitation Changes? M. Donat et al. 10.1029/2022GL102466
- Intraseasonal versus Interannual Measures of Land–Atmosphere Coupling Strength in a Global Climate Model: GLACE-1 versus GLACE-CMIP5 Experiments in ACCESS1.3b R. Lorenz et al. 10.1175/JHM-D-14-0206.1
- Assessing the potential for crop albedo enhancement in reducing heatwave frequency, duration, and intensity under future climate change J. Kala et al. 10.1016/j.wace.2022.100415
- Development and evaluation of a new soil moisture and runoff parameterization for the CABLE LSM including subgrid‐scale processes M. Decker 10.1002/2015MS000507
- An optimal ensemble of the CoLM for simulating the carbon and water fluxes over typical forests in China Y. Li et al. 10.1016/j.jenvman.2024.120740
- Global response of terrestrial gross primary productivity to climate extremes M. Yuan et al. 10.1016/j.scitotenv.2020.142337
- Passive Design Strategies in Focus: Implications of Climate Change on New Buildings and Renovations C. Ganem-Karlen & G. Barea-Paci 10.1115/1.4064121
- Stationary and Non-stationary Extreme Value Approaches for Modelling Extreme Temperature: the Case of Riyadh City, Saudi Arabia B. Raggad 10.1007/s10666-017-9588-9
- Examining the role of environmental memory in the predictability of carbon and water fluxes across Australian ecosystems J. Cranko Page et al. 10.5194/bg-19-1913-2022
- Evaluation of CMIP6 AMIP climate simulations with the ACCESS-AM2 model R. Bodman et al. 10.1071/ES19033
- Impact of the representation of stomatal conductance on model projections of heatwave intensity J. Kala et al. 10.1038/srep23418
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