For a fuller description of the paper itself, go to the end of this web page.
Each simulation published in this paper corresponds to a unique 5 or 6 character code on the web pages.
The following table lists the name of the simulation as used in the paper, and the corresponding code name
The webpage gives you the ability to examine the published simulations, but you can also download the raw (netcdf) files to perform your own analysis. Detailed instructions on how to use the webpages and access the data can be found here: Using_BRIDGE_webpages.pdf
There are a lot of simulations used in this paper because we used an ensemble physics approach. So there is a mixture of these, plus special simulations
You can have make you own analysis and plots by going here
| Simulation Name as in Paper | Simulation name on web pages |
|---|---|
| Pre-Industrial FAMOUS control simulation | tcrta |
| LGM FAMOUS control simulation | tcrpb |
| Single parameter simulations used to compile Present Day column in Table 1 | FAMOUS_Pre-Ind_Single_Pert_01 |
| Single parameter simulations used to compile LGM column in Table 1 | FAMOUS_LGM_Single_Pert_01 |
| Pre-industrial physics ensemble (used in fig 1 to 4) | FAMOUS_Pre-Ind_01 |
| LGM physics ensemble (used in fig 1 to 4) | FAMOUS_LGM_01 |
| 13 Extended simulations (800 years) of good models for Pre-Industrial (as in fig. 5) | FAMOUS_Pre-Ind_Extended_01 |
| 13 Extended simulations (800 years) of good models for LGM | FAMOUS_LGM_Extended_01 |
This paper uses present day and glacial climates to objectively tune a low resoltuion version of the Hadley Centre model. We show that adding glacial constraints can improve the simulations.
| Name | Gregoire et al |
|---|---|
| Brief Description | This paper uses present day and glacial climates to objectively tune a low resoltuion version of the Hadley Centre model. We show that adding glacial constraints can improve the simulations. |
| Full Author List | Lauren J. Gregoire, Paul J. Valdes, Antony J. Payne, Ron Kahana |
| Title | Optimal tuning of a GCM using modern and glacial constraints |
| Year | 2010 |
| Journal | Climate Dynamics |
| Volume | 37 |
| Issue | |
| Pages | 705-719 |
| DOI | 10.1007/s00382-010-0934-8 |
| Contact's Name | Lauren Gregoire |
| Contact's email | Lauren.gregoire@bristol.ac.uk |
| Abstract | In climate models, many parameters used to resolve subgrid scale processes can be adjusted through a tuning exercise to fit the model's output to target climatologies. We present an objective tuning of a low resolution Atmosphere-Ocean General Circulation Model (GCM) called FAMOUS where ten model parameters are varied together using a Latin hypercube sampling method to create an ensemble of 100 models. The target of the tuning consists of a wide range of modern climate diagnostics and also includes glacial tropical sea surface temperature. The ensemble of models created is compared to the target using an Arcsin Mielke score. We investigate how the tuning method used and the addition of glacial constraints impact on the present day and glacial climates of the chosen models. Rather than selecting a single configuration which optimises the metric in all the diagnostics, we obtain a subset of nine 'good' models which display great differences in their climate but which, in some sense, are all better than the original configuration. In those simulations, the global temperature response to last glacial maximum forcings is enhanced compared to the control simulation and the glacial Atlantic Ocean circulation is more in agreement with observations. Our study demonstrates that selecting a single 'optimal' configuration, relying only on present day constraints may lead to misrepresenting climates different to that of today. |