A simulated Northern Hemisphere terrestrial climate dataset for the past 60,000 years

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A simulated Northern Hemisphere terrestrial climate dataset for the past 60,000 years. / Armstrong, Edward; Hopcroft, Peter; Valdes, Paul J.

In: Scientific Data, Vol. 6, 265 (2019), 07.11.2019.

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@article{7970f1223a974e2a8abec920159a3f56,
title = "A simulated Northern Hemisphere terrestrial climate dataset for the past 60,000 years",
abstract = "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.",
author = "Edward Armstrong and Peter Hopcroft and Valdes, {Paul J.}",
year = "2019",
month = nov,
day = "7",
doi = "10.1038/s41597-019-0277-1",
language = "English",
volume = "6",
journal = "Scientific Data",
issn = "2052-4463",
publisher = "Nature Publishing Group",

}

RIS

TY - JOUR

T1 - A simulated Northern Hemisphere terrestrial climate dataset for the past 60,000 years

AU - Armstrong, Edward

AU - Hopcroft, Peter

AU - Valdes, Paul J.

PY - 2019/11/7

Y1 - 2019/11/7

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=85074722093&partnerID=8YFLogxK

U2 - 10.1038/s41597-019-0277-1

DO - 10.1038/s41597-019-0277-1

M3 - Article

VL - 6

JO - Scientific Data

JF - Scientific Data

SN - 2052-4463

M1 - 265 (2019)

ER -