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
These are simulations using the models detailed in tables 1 and 2.
You can have make you own analysis and plots by going here
| Simulation Name as in Paper | Simulation name on web pages |
|---|---|
| HadCM3B-M1 | tcsyf |
| HadCM3B-2.1aN | tcywd |
| HadCM3B-M2.2N | tcyxc |
| HadCM3BL-M2.1aN | tdbad |
| HadAM3B-M2.1aN | tdekd |
| HadAM3BH-M2.1aN | tdewb |
| FAMOUS-M1 | tdexb |
| FAMOUS-M2.2N | tdeyb |
| HadCM3B-M2.1aD | tdkym |
| HadCM3BL-M2.1aD | tdkyn |
| HadAM3B-M2.1aD | tdkyo |
This paper provides a comprehensive overview of the suite of HadCM3 climate models and the configurations used by the BRIDGE group.
| Name | Valdes et al. |
|---|---|
| Brief Description | This paper provides a comprehensive overview of the suite of HadCM3 climate models and the configurations used by the BRIDGE group. |
| Full Author List | Valdes, P. J. and Armstrong, E. and Badger, M. P. S. and Bradshaw, C. D. and Bragg, F. and Davies-Barnard, T. and Day, J. J. and Farnsworth, A. and Hopcroft, P. O. and Kennedy, A. T. and Lord, N. S. and Lunt, D. J. and Marzocchi, A. and Parry, L. M. and Roberts, W. H. G. and Stone, E. J. and Tourte, G. J. L. and Williams, J. H. T. |
| Title | The BRIDGE HadCM3 family of climate models: HadCM3@Bristol v1.0 |
| Year | 2017 |
| Journal | Geosci. Model Dev. |
| Volume | 2017 |
| Issue | 3-4 |
| Pages | 1-42 |
| DOI | 10.5194/gmd-2017-16 |
| Contact's Name | Paul Valdes |
| Contact's email | p.j.valdes@bristol.ac.uk |
| Abstract | Understanding natural and anthropogenic climate change processes involves using computational models that represent the main components of the Earth system: the atmosphere, ocean, sea-ice and land surface. These models have become increasingly computationally expensive as resolution is increased and more complex process representations are included. However, to gain robust insight into how climate may respond to a given forcing, and to meaningfully quantify the associated uncertainty, it is often required to use either or both of ensemble approaches and very long integrations. For this reason, more computationally efficient models can be very valuable tools. Here we provide a comprehensive overview of the suite of climate models based around the coupled general circulation model HadCM3. This model was originally developed at the UK Met Office and has been heavily used during the last 15 years for a range of future (and past) climate change studies but is now largely being replaced by more recent models. However, it continues to be extensively used by the BRIDGE (Bristol Research Initiative for the Dynamic Global Environment) research group at the University of Bristol and elsewhere. Over time, adaptations have been made to the base HadCM3 model. These adaptations mean that the original documentation is not entirely representative, and several other configurations are in use which now differ from the originally described model versions. We therefore describe the key features of a number of configurations of the HadCM3 climate model family, including the atmosphere-only model (HadAM3), the coupled model with a low resolution ocean (HadCM3L), the high resolution atmosphere only model (HadAM3H), the regional model (HadRM3) and a fast coupled model (FAMOUS), which together make up HadCM3@Bristol version 1.0. These also include three versions of the land surface scheme. By comparing with observational datasets, we show that these models produce a good representation of many aspects of the climate system, including the land and sea surface temperatures, precipitation, ocean circulation and vegetation. This evaluation, combined with the relatively fast computational speed (up to 2000× faster than some CMIP6 models), motivates continued development and scientific use of the HadCM3 family of coupled climate models, particularly for quantifying uncertainty and for long multi-millennial scale simulations. |