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 |
|---|---|
| 0 kyr | teiia |
| 1 kyr | teiib |
| 2 kyr | teiic |
| 3 kyr | teiid |
| 4 kyr | teiie |
| 5 kyr | teiif |
| 6 kyr | teiig |
| 7 kyr | teiih |
| 8 kyr | teiii |
| 9 kyr | teiij |
| 10 kyr | teiik |
| 11 kyr | teiil |
| 12 kyr | teiim |
| 13 kyr | teiin |
| 14 kyr | teiio |
| 15 kyr | teiip |
| 16 kyr | teiiq |
| 17 kyr | teiir |
| 18 kyr | teiis |
| 19 kyr | teiit |
| 20 kyr | teiiu |
| 21 kyr | teiiv |
| 22 kyr | teiiw |
| 24 kyr | teiix |
| 26 kyr | teiiy |
| 28 kyr | teiiz |
| 30 kyr | teiiA |
| 32 kyr | teiiB |
| 34 kyr | teiiC |
| 36 kyr | teiiD |
| 38 kyr | teiiE |
| 40 kyr | teiiF |
| 42 kyr | teiiG |
| 44 kyr | teiiH |
| 46 kyr | teiiI |
| 48 kyr | teiiJ |
| 50 kyr | teiiK |
| 52 kyr | teiiL |
| 54 kyr | teiiM |
| 56 kyr | teiiN |
| 58 kyr | teiiO |
| 60 kyr | teiiP |
This paper presents a continuous land-based climate reconstruction dataset extending back 60 kyr from the pre-industrial period
| Name | Armstrong et al. |
|---|---|
| Brief Description | This paper presents a continuous land-based climate reconstruction dataset extending back 60 kyr from the pre-industrial period |
| Full Author List | Armstrong, E. and Hopcroft, P. O. and Valdes, P. J. |
| Title | A simulated Northern Hemisphere land based climate dataset for the past 60,000 years |
| Year | 2019 |
| Journal | Scientific Data |
| Volume | 2019 |
| Issue | |
| Pages | |
| DOI | |
| Contact's Name | Edward Armstrong |
| Contact's email | edward.armstrong@bristol.ac.uk |
| Abstract | We present a continuous land-based climate reconstruction dataset extending back 60 kyr from the pre-industrial period (1850) at 0.5° resolution on a monthly timestep for 0°N to 90°N. It has been generated from 42 discrete snapshot simulations using the HadCM3B-M2.1 coupled general circulation model. We incorporate Dansgaard-Oeschger (DO) and Heinrich events to represent millennial scale variability, based on a temperature reconstruction from Greenland ice-cores, with a spatial fingerprint based on a freshwater hosing simulation with HadCM3B-M2.1. Interannual variability is also added and derived from the initial snapshot simulations. Model output has been downscaled to 0.5° resolution (using simple bilinear interpolation) and bias corrected using the University of East Anglia, Climate Research Unit observational data. Here we focus on surface air temperature and precipitation, with additional datasets available on request. This is one of the first open access climate datasets of this kind and can be used to study the impact of millennial to orbital-scale climate change on terrestrial greenhouse gas cycling, northern extra-tropical vegetation and megaflora and megafauna population dynamics. |