Paper: Armstrong et al 2019

Title: A simulated Northern Hemisphere land based climate dataset for the past 60,000 years

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 PaperSimulation name on web pages
0 kyrteiia
1 kyrteiib
2 kyrteiic
3 kyrteiid
4 kyrteiie
5 kyrteiif
6 kyrteiig
7 kyrteiih
8 kyrteiii
9 kyrteiij
10 kyrteiik
11 kyrteiil
12 kyrteiim
13 kyrteiin
14 kyrteiio
15 kyrteiip
16 kyrteiiq
17 kyrteiir
18 kyrteiis
19 kyrteiit
20 kyrteiiu
21 kyrteiiv
22 kyrteiiw
24 kyrteiix
26 kyrteiiy
28 kyrteiiz
30 kyrteiiA
32 kyrteiiB
34 kyrteiiC
36 kyrteiiD
38 kyrteiiE
40 kyrteiiF
42 kyrteiiG
44 kyrteiiH
46 kyrteiiI
48 kyrteiiJ
50 kyrteiiK
52 kyrteiiL
54 kyrteiiM
56 kyrteiiN
58 kyrteiiO
60 kyrteiiP


This is a fuller description of paper

This paper presents a continuous land-based climate reconstruction dataset extending back 60 kyr from the pre-industrial period

NameArmstrong et al.
Brief DescriptionThis paper presents a continuous land-based climate reconstruction dataset extending back 60 kyr from the pre-industrial period
Full Author ListArmstrong, E. and Hopcroft, P. O. and Valdes, P. J.
TitleA simulated Northern Hemisphere land based climate dataset for the past 60,000 years
Year2019
JournalScientific Data
Volume2019
Issue
Pages
DOI
Contact's NameEdward Armstrong
Contact's emailedward.armstrong@bristol.ac.uk
AbstractWe 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 0N to 90N. 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.