CMIP6 CMIP AS-RCEC TaiESM1 piControl r1i1p1f1 Amon pr gn v20200211

hdl:21.14100/a6304515-89e1-31e2-bbf4-261f46a50b3f

Lee, Wei-Liang; Liang, Hsin-Chien

Dataset
AS-RCECclimate changeCMIPCMIP6IPCCIPCC-AR6IPCC-DDCpiControlprTaiESM1
Summary
[ Derived from parent entry - See data hierarchy tab ]

These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.AS-RCEC.TaiESM1.piControl' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The Taiwan Earth System Model 1.0 climate model, released in 2018, includes the following components: aerosol: SNAP (same grid as atmos), atmos: TaiAM1 (0.9x1.25 degree; 288 x 192 longitude/latitude; 30 levels; top level ~2 hPa), atmosChem: SNAP (same grid as atmos), land: CLM4.0 (same grid as atmos), ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), seaIce: CICE4. The model was run by the Research Center for Environmental Changes, Academia Sinica, Nankang, Taipei 11529, Taiwan (AS-RCEC) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 100 km, seaIce: 50 km.

Individuals using the data must abide by terms of use for CMIP6 data (https://pcmdi.llnl.gov/CMIP6/TermsOfUse). The original license restrictions on these datasets were recorded as global attributes in the data files, but these may have been subsequently updated.
Project
IPCC-AR6_CMIP6 (Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets)
Location(s)
global
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage
201-01-16 to 700-12-16 (gregorian)
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
Access constraints
registered users
Size
981.46 MiB (1029134973 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-02-11
Download Permission
Please login to check permission and download options
Preview data headers
Cite as
[ Derived from parent entry - See data hierarchy tab ]
Lee, Wei-Liang; Liang, Hsin-Chien (2023). IPCC DDC: AS-RCEC TaiESM1.0 model output prepared for CMIP6 CMIP piControl. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6CMARTEpc

BibTeX RIS
VariableCodeAggregationUnit
precipitation_fluxCF
pr (IPCC_DDC_AR6: 780)
monkg m-2 s-1

Is source of

[1] IPCC. (2023). Figure 8.13 | Zonal and annual-mean projected long-term changes in the atmospheric water budget. In IPCC, 2023: Chapter 8. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-8/figure-8-13
[2] IPCC. (2023). Figure 10.15 | Future emergence of anthropogenic signal at regional scale. In IPCC, 2023: Chapter 10. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-10/figure-10-15
[3] IPCC. (2023). Figure 4.13 | Near-term change of seasonal mean precipitation. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-13
[4] IPCC. (2023). Figure 4.24 | Long-term change of seasonal mean precipitation. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-24
[5] IPCC. (2023). Figure 4.32 | Projected spatial patterns of change in annual average precipitation (expressed as a percentage change) at different levels of global warming. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-32
[6] IPCC. (2023). Figure 4.42 | High-warming storylines for changes in annual mean precipitation. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-42
[7] IPCC. (2023). Figure 10.14 | Robustness and scalability of anthropogenic signals at regional scale. In IPCC, 2023: Chapter 10. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-10/figure-10-14
[8] IPCC. (2023). Figure 3.14 | Wet (a) and dry (b) region tropical mean (30°S–30°N) annual precipitation anomalies. In IPCC, 2023: Chapter 3. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/figure-3-14
[9] DOI Fischer, E. (2023). Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.13 (v20230203). doi:10.5285/11d45679506d44fda224d65326edcdb4
[10] DOI Kazeroni, R.; Schurer, A.; Bock, L. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.14 (v20211001). doi:10.5285/8c9c35e4c877440abcaa10b9aa173c33
[11] DOI Fischer, E. (2023). Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.24 (v20230213). doi:10.5285/5ed073b87dbc45d6a66d7c704caef01d
[12] DOI Fischer, E. (2023). Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.42 (v20230213). doi:10.5285/e5e7afe5355a439e8d63be47ee7467c8
[13] DOI Fischer, E. (2023). Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.32 v20230531. doi:10.5285/0192ae3037794e0eb93b022c5140f399
[14] DOI Sénési, S. (2023). Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.13 (v20220718). doi:10.5285/6ed1539e8fe84caea089a0d6a7ffcdbd
[15] IPCC. (2023). Code for Figure 3.14 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-3_Fig14
[16] IPCC. (2023). Code for Figure 8.13 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-8
[17] DOI Sénési, Stéphane. (2021). IPCC WGI AR6 Chapter 8. doi:10.5281/zenodo.5217343
[18] DOI Schurer, A.; Kazeroni, R. (2022). IPCC AR6 WGI - Figure 3.14. doi:10.5281/zenodo.6778068

Parent

CMIP6 CMIP AS-RCEC TaiESM1 piControl
Details

Parent project(s)

Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets

[Entry acronym: C6CMARTEpcr111Amprgn00211] [Entry id: 3894925]