Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model: the piControl run

Lembo, Valerio; Lunkeit, Frank; Lucarini, Valerio

Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model: the piControl run

doi:10.26050/WDCC/TRR181S1_piC

Lembo, Valerio; Lunkeit, Frank; Lucarini, Valerio

ExperimentDOI

MPI-ESM1-2-CR piControl

Summary: This is the 4000-yr control run with MPI-ESM-CR v. 1.2, carried out with fixed preindustrial CO2 concentrations. It provides the initial conditions for the abrupt 2% CO2 increase forcing and 1% ramp-up ensembles in the same project. Initial conditions are distance by 200 years in order to ensure reasonable decorrelation. The experiment is performed with MPI-ESM model, coarse resolution (CR: T31).
The project is aimed as a testbed for the Green’s functions computed via the 2xCO2abrupt experiment. This is a model application of the linear response theory, as described in Lembo et al. 2020 (see references).
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 356.25 Latitude -87.16 to 87.16
Temporal Coverage: 1848-01-01 to 5837-12-31
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: 614.46 GiB (659766043368 Byte)
Format: GRIB, NetCDF
Status: completely archived
Creation Date: 2023-05-23
Future Review Date: 2033-05-25

Find data Export dataset acronyms

Cite as: Lembo, Valerio; Lunkeit, Frank; Lucarini, Valerio (2023). Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model: the piControl run. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/TRR181S1_piC

BibTeX RIS

FAIR

F-UJI result: total 66 %

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 v2.2.5 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: 2023-06-20

Scientific Quality Assurance (SQA)

SQA - Scientific Quality Assurance 'approved by author'

Result Date: 2023-06-20

Technical Quality Assurance (TQA)

TQA - Technical Quality Assurance 'approved by WDCC'

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 spatial-temporal coverage description (metadata) is consistent to the data, time steps are correct and the time coordinate is continuous: passed;
6. The format is correct: passed;
7. Variable description and data are consistent in NetCDF data: 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: 2023-06-20

Contact type	Person	ORCID	Organization
Contact	Dr. Valerio Lembo	0000-0001-6085-5914	Institute of Atmospheric Sciences and Climate
Author	Dr. Valerio Lembo	0000-0001-6085-5914	Institute of Atmospheric Sciences and Climate
Author	Frank Lunkeit	-	University of Hamburg
Author	Prof. Valerio Lucarini	0000-0001-9392-1471	University of Reading
Investigator	Dr. Valerio Lembo	0000-0001-6085-5914	Institute of Atmospheric Sciences and Climate

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 Datasets ( 9 )

Parent project(s)

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

[Entry acronym: TRR181S1_piC] [Entry id: 4828740]