Historical and projected (RCP8.5) temperatures and ice depths simulated with the Alfred Wegener Institute Earth System Model (AWI-ESM)

This dataset contains the results of a simulation using the global climate model AWI-ESM coupled with the interactive ice sheet model PISM. The simulation consists of a historical run (1850-2014) and a future scenario using the Representative Concentration Pathways scenarios RCP8.5. This scenario spans the years 2006-2100 and was prolonged to the year 2299 with fixed greenhouse gas concentrations. The variables provided are temperature at 2 meters above surface and ice depth. The data are used for a mathematical model to describe long-term changes in extreme temperatures (Contzen, Dickhaus and Lohmann, 2023). This dataset contains spatial data on a regular lon lat grid (0.5°x0.5° horizontal resolution) using monthly time steps. All files are in the NetCDF format.

Data and Resources

This dataset has no data

Cite this as

Ackermann, Lars, Contzen, Justus, Lohmann, Gerrit, Gierz, Paul (2022). Dataset: Historical and projected (RCP8.5) temperatures and ice depths simulated with the Alfred Wegener Institute Earth System Model (AWI-ESM). https://doi.org/10.1594/PANGAEA.947831

DOI retrieved: 2022

Additional Info

Field Value
Imported on November 30, 2024
Last update November 30, 2024
License CC-BY-4.0
Source https://doi.org/10.1594/PANGAEA.947831
Author Ackermann, Lars
Given Name Lars
Family Name Ackermann
More Authors
Contzen, Justus
Lohmann, Gerrit
Gierz, Paul
Source Creation 2022
Publication Year 2022
Resource Type text/tab-separated-values - filename: Contzen-etal_2022
Subject Areas
Name: Lithosphere

Related Identifiers
Title: AMOC Recovery in a Multicentennial Scenario Using a Coupled Atmosphere‐Ocean‐Ice Sheet Model
Identifier: https://doi.org/10.1029/2019GL086810
Type: DOI
Relation: References
Year: 2020
Source: Geophysical Research Letters
Authors: Ackermann Lars , Danek Christopher , Gierz Paul , Lohmann Gerrit , Contzen Justus , Dickhaus Thorsten , Lohmann Gerrit .

Title: Long-term temporal evolution of extreme temperature in a warming Earth
Identifier: https://doi.org/10.1371/journal.pone.0280503
Type: DOI
Relation: References
Year: 2023
Source: PLoS ONE
Authors: Ackermann Lars , Danek Christopher , Gierz Paul , Lohmann Gerrit , Contzen Justus , Dickhaus Thorsten , Lohmann Gerrit .