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The Low-Resolution Version of HadGEM3 GC3.1: Development and Evaluation for Global Climate
Till Kuhlbrodt1, Colin G Jones2, Alistair Sellar3
1National Centre for Atmospheric Science, Department of Meteorology University of Reading Reading UK.
Summary
A new climate model, HadGEM3 N96ORCA1, offers efficient, high-performance climate simulations comparable to higher-resolution models. This advancement aids climate research and future Earth System Model development.
Area of Science:
- Climate modeling
- Earth System Science
- Oceanography
Background:
- Existing climate models require significant computational resources.
- Advancements in model resolution impact climate simulation accuracy and performance.
- HadGEM3 N96ORCA1 is a new configuration of the established HadGEM3 model.
Purpose of the Study:
- Introduce and evaluate the HadGEM3 N96ORCA1 climate model.
- Compare its performance against observations and a higher-resolution model (N216ORCA025).
- Assess its suitability for future climate research, including CMIP6.
Main Methods:
- Developed HadGEM3 N96ORCA1 with ~135 km atmospheric and 1° ocean horizontal resolution.
- Compared model outputs for climate mean, variability, and biases against observational data.
- Evaluated key climate phenomena such as Atlantic meridional overturning circulation, ENSO, and AMV.
Main Results:
- HadGEM3 N96ORCA1 demonstrates comparable scientific performance to N216ORCA025 with significantly reduced computational cost.
- The model accurately reproduces observed climate means and variability, with similar bias patterns to N216ORCA025.
- Specific biases, like the cold surface bias in the North Atlantic and a reduced warm bias in the Southern Ocean, were noted and analyzed.
- Simulated ocean circulation, ENSO, and AMV align well with observational data.
Conclusions:
- HadGEM3 N96ORCA1 provides a computationally efficient yet scientifically robust climate modeling tool.
- The model's performance makes it a valuable component for the UK Earth System Model (UKESM1) and CMIP6.
- Further research can leverage this model for extensive climate change projections and analyses.
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