TOPOI-CS_ECHAM5

doi:10.26050/WDCC/TOPOI-CS_ECHAM5

Thürkow, Markus; Zittel, Janina

ExperimentDOI
Summary
Global paleoclimate simulations are carried out on the basis of the so-called time slice technique. The simulations are performed with the state-of-the-art global circulation model ECHAM5 (Roeckner et al., 2003) at a spectral resolution of T106 (∼1.125°×1.125°) and 19 vertical levels. Different time slices are selected at a time interval of approx. 1000 years from each other, from 6000 years ago to pre-industrial times. For each time slice a simulation is carried out over a period of 30 years. As boundary conditions prescribed sea ice fraction and sea surface temperatures were used, which were derived from a continuous simulation with transient periods. This simulation was performed with the coupled atmosphere-ocean circulation model ECHO-G, consisting of the ECHAM4 (Roeckner et al., 1996) and the ocean model HOPE (Wolff et al., 1997), at a spectral resolution of T30 (∼3.75◦×3.75◦). Further information on simulation realization can be found in Wagner et al. (2007). Detailed information on the model set-up can be found in Russo and Cubasch (2016).

Russo, E. and Cubasch, U.: Mid-to-late Holocene temperature evolution and atmospheric dynamics over Europe in regional model simulations, Clim. Past, 12, 1645-1662, https://doi.org/10.5194/cp-12-1645-2016, 2016.
Project
TOPOI-CLIMATE-SIMULATION (TOPOI-CLIMATE-SIMULATION)
Contact
M.Sc. Markus Thürkow (
 markus.thuerkow@nullmet.fu-berlin.de
)
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage
2435-01-01 to 8265-12-31 (climate model time)
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
6.83 TiB (7505971406752 Byte)
Format
GRIB, NetCDF
Status
completely archived
Creation Date
Future Review Date
2029-04-18
Cite as
Thürkow, Markus; Zittel, Janina (2019). TOPOI-CS_ECHAM5. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/TOPOI-CS_ECHAM5

BibTeX RIS
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
Result Date
2022-12-06
Result Date
2019-10-01
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
Result Date
2019-10-01
Contact typePersonORCIDOrganization
-
-
-
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data entry describes the related resource

[1] DOI Berking, Jonas; Körper, Janina; Wagner, Sebastian; Cubasch, Ulrich; Schütt, Brigitta. (2013). Heavy Rainfalls in a Desert(Ed) City: A Climate-Archaeological Case Study From Sudan. doi:10.1029/2012GM001208
[2] Schütt, Brigitta; Ducke, Katharina; Krause, Jan. (2010). A Cluster-analysis-based Climate Classification for NE Africa. https://www.topoi.org/publication/17284/

Is documented by

[1] Roeckner, E.; Baeuml, G.; Bonaventura, L.; Brokopf, R.; Esch, M.; Giorgetta, M.; Hagemann, S.; Kirchner, I.; Kornblueh, L.; Manzini, E.; Rhodin, A.; Schlese, U.; Schulzweida, U.; Tompkins, A. (2003). The atmospheric general circulation model ECHAM 5. PART I: Model description. http://hdl.handle.net/11858/00-001M-0000-0012-0144-5
[2] Roeckner, E.; Arpe, K.; Bengtsson, L.; Christoph, M.; Claussen, M.; Duemenil, L.; Esch, M.; Giorgetta, M.; Schlese, U.; Schulzweida, U. (1996). The atmospheric general circulation model ECHAM-4: Model description and simulation of present-day climate. http://hdl.handle.net/11858/00-001M-0000-0013-ADE3-C
[3] DOI Wolff, Jörg-Olaf; Maier-Reimer, Ernst; Legutke, Stephanie. (1997). The Hamburg Ocean Primitive Equation Model. doi:10.2312/WDCC/DKRZ_Report_No13
[4] DOI Roeckner, E.; Brokopf, R.; Esch, M.; Giorgetta, M.; Hagemann, S.; Kornblueh, L.; Manzini, E.; Schlese, U.; Schulzweida, U. (2006). Sensitivity of Simulated Climate to Horizontal and Vertical Resolution in the ECHAM5 Atmosphere Model. doi:10.1175/JCLI3824.1
[5] DOI Russo, Emmanuele; Cubasch, Ulrich. (2016). Mid-to-late Holocene temperature evolution and atmospheric dynamics over Europe in regional model simulations. doi:10.5194/cp-12-1645-2016
[6] DOI Wagner, Sebastian; Widmann, Martin; Jones, Julie; Haberzettl, Torsten; Lücke, Andreas; Mayr, Christoph; Ohlendorf, Christian; Schäbitz, Frank; Zolitschka, Bernd. (2007). Transient simulations, empirical reconstructions and forcing mechanisms for the Mid-holocene hydrological climate in southern Patagonia. doi:10.1007/s00382-007-0229-x

Compiles

[1] DOI Thürkow, Markus; Russo, Emmanuele. (2019). TOPOI-CS_COSMO-CLM. doi:10.26050/WDCC/TOPOI-CS_COSMO-CLM

Attached Datasets ( 7 )

Details for selected entry

Parent project(s)

TOPOI-CLIMATE-SIMULATION

[Entry acronym: TOPOI-CS_ECHAM5] [Entry id: 3843800]