File:Europe temperature of january 40750bp 1.png

This image is based on Armstrong et al 2019

The source of data to produce this image is

Armstrong et al. 2019: A simulated Northern Hemisphere land based climate dataset for the past 60,000 years.

Article https://www.nature.com/articles/s41597-019-0277-1#citeas

Data on CEDA archive

http://data.ceda.ac.uk/badc/deposited2018/HadCM3B_60Kyr_Climate/data/temp

http://dap.ceda.ac.uk/badc/deposited2018/HadCM3B_60Kyr_Climate/data/temp/bias_regrid_tas_40_42.5kyr.nc

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Panoply visualization.

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1. ↑ TY - JOUR AU - Armstrong, Edward AU - Hopcroft, Peter O. AU - Valdes, Paul J. PY - 2019 DA - 2019/11/07 TI - A simulated Northern Hemisphere terrestrial climate dataset for the past 60,000 years JO - Scientific Data SP - 265 VL - 6 IS - 1 AB - We present a continuous land-based climate reconstruction dataset extending back 60 kyr from 0 BP (1950) 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. Here we present surface air temperature, precipitation, incoming shortwave energy, minimum monthly temperature, snow depth, wind chill and number of rainy days per month. 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. SN - 2052-4463 UR - https://doi.org/10.1038/s41597-019-0277-1 DO - 10.1038/s41597-019-0277-1 ID - Armstrong2019 ER -