Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model: CO2 abrupt doubling experiment

doi:10.26050/WDCC/2xCO2abrupt

Lunkeit, Frank; Lembo, Valerio; Lucarini, Valerio

ExperimentDOI
Summary
MPI-ESM model (T31 resolution) v. 1.2: step forcing experiment with abrupt doubling of CO2 concentrations

A step forcing experiment with instantaneous doubling of CO2 concentrations at t=0. The experiment is performed with MPI-ESM model, coarse resolution (CR: T31). It consists of an ensemble with 20 runs over 2000 years, starting from a se top perturbed initial conditions representative of pre-industrial CO2 levels. The experiment is aimed at computing the Green’s function of observable, whose convolution with the time evolution of a forcing allows for prediction of the long-term evolution of the forcing in response to a given forcing. This in the context of the linear response theory (see Lembo et al. 2020).
Project
TRR181 - S1 (The response theory as a tool for investigating climate predictability and scale separation)
Contact
Dr. Valerio Lembo (
 v.lembo@nullisac.cnr.it
 0000-0001-6085-5914)
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage
1850-01-01 to 3849-12-31
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
25.56 TiB (28108630928448 Byte)
Format
GRIB1, NetCDF
Status
completely archived
Creation Date
Future Review Date
2030-03-15
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Cite as
Lunkeit, Frank; Lembo, Valerio; Lucarini, Valerio (2022). Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model: CO2 abrupt doubling experiment. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/2xCO2abrupt

BibTeX RIS
Description
Please be aware that some of the variables might be absent and some datasets might be incomplete. Check metadata before downloading the datasets.
Result Date
2022-09-08
Description
Summary:
Findable: 6 of 7 level;
Accessible: 2 of 3 level;
Interoperable: 3 of 4 level;
Reusable: 5 of 10 level
Method
F-UJI online v2.2.1 automated
Method Description
Checks performed by WDCC. Metrics documentation: https://doi.org/10.5281/zenodo.4081213 Metric Version: metrics_v0.5
Method Url
https://www.f-uji.net
Result Date
2022-12-06
Result Date
2022-09-08
Description
1. Number of data sets is correct and > 0: passed;
2. Size of every data set is > 0: passed;
3. The data sets and corresponding metadata are accessible: passed;
4. The data sizes are controlled and correct: passed;
5. The temporal coverage description (metadata) is consistent to the data: passed;
6. The format is correct: passed;
7. Variable description and data are consistent: passed
Method
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
Method Url
https://www.wdc-climate.de/docs/WDCC_User_Guide_Data_v1.pdf
Result Date
2022-09-08
Contact typePersonORCIDOrganization
Contact
Dr. Valerio Lembo
0000-0001-6085-5914
Institute of Atmospheric Sciences and Climate
Author
Frank Lunkeit
-
University of Hamburg
Author
Dr. Valerio Lembo
0000-0001-6085-5914
Institute of Atmospheric Sciences and Climate
Author
Prof. Valerio Lucarini
0000-0001-9392-1471
University of Reading
Investigator
Frank Lunkeit
-
University of Hamburg
Metadata
Frank Lunkeit
-
University of Hamburg

Cites

[1] DOI Lembo, Valerio; Lucarini, Valerio; Ragone, Francesco. (2020). Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model. doi:10.1038/s41598-020-65297-2

Is documented by

[1] DOI Giorgetta, Marco A.; Jungclaus, Johann; Reick, Christian H.; Legutke, Stephanie; Bader, Jürgen; Böttinger, Michael; Brovkin, Victor; Crueger, Traute; Esch, Monika; Fieg, Kerstin; Glushak, Ksenia; Gayler, Veronika; Haak, Helmuth; Hollweg, Heinz-Dieter; Ilyina, Tatiana; Kinne, Stefan; Kornblueh, Luis; Matei, Daniela; Mauritsen, Thorsten; Mikolajewicz, Uwe; Mueller, Wolfgang; Notz, Dirk; Pithan, Felix; Raddatz, Thomas; Rast, Sebastian; Redler, Rene; Roeckner, Erich; Schmidt, Hauke; Schnur, Reiner; Segschneider, Joachim; Six, Katharina D.; Stockhause, Martina; Timmreck, Claudia; Wegner, Jörg; Widmann, Heinrich; Wieners, Karl-H.; Claussen, Martin; Marotzke, Jochem; Stevens, Bjorn. (2013). Climate and carbon cycle changes from 1850 to 2100 in MPI-ESM simulations for the Coupled Model Intercomparison Project phase 5. doi:10.1002/jame.20038
[2] DOI Ruelle, David. (2009). A review of linear response theory for general differentiable dynamical systems. doi:10.1088/0951-7715/22/4/009
[3] DOI Ghil, Michael. (2015). A Mathematical Theory of Climate Sensitivity or, How to Deal With Both Anthropogenic Forcing and Natural Variability?. doi:10.1142/9789814579933_0002
[4] DOI Lucarini, Valerio; Blender, Richard; Herbert, Corentin; Ragone, Francesco; Pascale, Salvatore; Wouters, Jeroen. (2014). Mathematical and physical ideas for climate science. doi:10.1002/2013RG000446
[5] DOI Ragone, Francesco; Lucarini, Valerio; Lunkeit, Frank. (2015). A new framework for climate sensitivity and prediction: a modelling perspective. doi:10.1007/s00382-015-2657-3
[6] DOI Lucarini, Valerio. (2015). Response Operators for Markov Processes in a Finite State Space: Radius of Convergence and Link to the Response Theory for Axiom A Systems. doi:10.1007/s10955-015-1409-4

Attached Dataset Groups ( 20 )

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Parent project(s)

The response theory as a tool for investigating climate predictability and scale separation

[Entry acronym: 2xCO2abrupt] [Entry id: 3878795]