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 nine simulations used in this study: three simulations for each time period (0 BP, 6kyr BP and 21 Kyr BP) for each model variant (HadAM3B, HadRM3B, HadAM3HB)
You can have make you own analysis and plots by going here
| Simulation Name as in Paper | Simulation name on web pages |
|---|---|
| 0 kyr HadAM3B | tcosd |
| 0 kyr HadRM3B | tcosa |
| 0 kyr HadAM3HB | tcqqx |
| 6 kyr HadAM3B | tctqt |
| 6 kyr HadRM3B | tctrt |
| 6 kyr HadAM3HB | tcqqy |
| 21 kyr HadAM3B | tctqe |
| 21 kyr HadRM3B | tctre |
| 21 kyr HadAM3HB | tcqqz |
This paper compares a regional climate model (RCM) against a low and high resolution global model (GCM and HR-GCM) using palaeoclimate simulations, showing that the HR-GCM simulates a different climatology due to difference in model dynamics.
| Name | Armstrong et al. |
|---|---|
| Brief Description | This paper compares a regional climate model (RCM) against a low and high resolution global model (GCM and HR-GCM) using palaeoclimate simulations, showing that the HR-GCM simulates a different climatology due to difference in model dynamics. |
| Full Author List | Armstrong, E. and Hopcroft, P. O. and Valdes, P. J. |
| Title | Reassessing the value of regional climate modelling using palaeoclimate simulations |
| Year | 2019 |
| Journal | Geophysical Research Letters |
| Volume | 2019 |
| Issue | |
| Pages | |
| DOI | |
| Contact's Name | Edward Armstrong |
| Contact's email | edward.armstrong@bristol.ac.uk |
| Abstract | Regional climate models (RCMs) are often assumed to be more skilful compared to lower-resolution general circulation models (GCM). However, RCMs are driven by input from coarser resolution GCMs, which may introduce biases. This study employs versions of the HadAMB3 GCM at three resolutions to investigate the added value of higher resolution (>50km) using identically configured simulations of the pre-industrial (PI), mid-Holocene, and Last Glacial Maximum (LGM). The RCM shows improved PI climatology compared to the coarse-resolution GCM and enhanced palaeo-anomalies in the jet stream and storm tracks. However there is no apparent improvement when compared to proxy reconstructions. In the high-resolution GCM, accuracy in PI climate and atmospheric anomalies are enhanced despite its intermediate resolution. This indicates that synoptic and mesoscale features in a RCM are influenced by its low-resolution input, which impacts the simulated climatology. This challenges the paradigm that RCMs improve the representation of climate conditions and change. |