Add to ORKGOverview:•GENIE Project•Multi-objective Optimisation•Surrogate Modelling•Grid Computing Infrastructure•Parameter Estimation for a new Ocean Mixing Scheme•Conclusion
Global ocean biogeochemical models are important tools to understand the cycling of nutrients and ca...
We describe the development, tuning and climate of Planet Simulator (PLASIM)–Grid-ENabled Integrated...
Parameter values in marine biogeochemical models can strongly affect model performance, but can be h...
In order to simulate at the multi-decadal time scale and beyond, climate models rely heavily on para...
Models frequently contain parameters that are poorly constrained by observations or are a product of...
The tuning of parameters in climate models is essential to provide reliable long-term forecasts of E...
The GENIE project is developing a grid based framework for the composition, execution and management...
A computationally efficient, intermediate complexity ocean-atmosphere-sea ice model (C-GOLDSTEIN) ha...
Here we describe GENIE-M, a new and improved version of the Grid ENabled Integrated Earth system mod...
The integration of compute and data grids into a common problem solving environment enables collabor...
A computationally efficient, intermediate complexity ocean-atmosphere-sea ice model (C-GOLDSTEIN) ha...
Abstract. A computationally efficient, intermediate com-plexity ocean-atmosphere-sea ice model (C-GO...
The tuning of parameters in climate models is essential to provide reliable long-term forecasts of E...
The tuning of parameters in climate models is essential to provide reliable long-term forecasts of E...
We present a computationally efficient methodology for the optimization of climate model parameters ...
Global ocean biogeochemical models are important tools to understand the cycling of nutrients and ca...
We describe the development, tuning and climate of Planet Simulator (PLASIM)–Grid-ENabled Integrated...
Parameter values in marine biogeochemical models can strongly affect model performance, but can be h...
In order to simulate at the multi-decadal time scale and beyond, climate models rely heavily on para...
Models frequently contain parameters that are poorly constrained by observations or are a product of...
The tuning of parameters in climate models is essential to provide reliable long-term forecasts of E...
The GENIE project is developing a grid based framework for the composition, execution and management...
A computationally efficient, intermediate complexity ocean-atmosphere-sea ice model (C-GOLDSTEIN) ha...
Here we describe GENIE-M, a new and improved version of the Grid ENabled Integrated Earth system mod...
The integration of compute and data grids into a common problem solving environment enables collabor...
A computationally efficient, intermediate complexity ocean-atmosphere-sea ice model (C-GOLDSTEIN) ha...
Abstract. A computationally efficient, intermediate com-plexity ocean-atmosphere-sea ice model (C-GO...
The tuning of parameters in climate models is essential to provide reliable long-term forecasts of E...
The tuning of parameters in climate models is essential to provide reliable long-term forecasts of E...
We present a computationally efficient methodology for the optimization of climate model parameters ...
Global ocean biogeochemical models are important tools to understand the cycling of nutrients and ca...
We describe the development, tuning and climate of Planet Simulator (PLASIM)–Grid-ENabled Integrated...
Parameter values in marine biogeochemical models can strongly affect model performance, but can be h...