Dataset Portal
The CCIS Dataset Portal provides a space for the exchange of available CCIS datasets in the research community. Modeling and observational datasets are sorted via specific categories, to come soon. Principle Investigators are encouraged to add their datasets to this websites. Please contact Simone Tilmes (tilmes@ucar.edu) for more information.
Model/models:
CESM Whole Atmosphere Community Climate Model (WACCM)
CLM4.5-BGC (Land), POP2 (ocean), CICE4 (sea ice).
CLM4.5-BGC (Land), POP2 (ocean), CICE4 (sea ice).
Scenario:
Baseline: RCP8.5
SAI Temperature Targets: 2020 conditions, using three temperature targets
SAI Temperature Targets: 2020 conditions, using three temperature targets
Simulations:
Baseline: 20 ensemble members from 2010-2030;
3 ensemble members from 2030-2099;
SAI: 20 ensemble members from 2020-2099.
3 ensemble members from 2030-2099;
SAI: 20 ensemble members from 2020-2099.
Purpose:
The results of these simulations can be used to identify robust regional and seasonal climate change, extremes, and variability as the result of strategically performed geoengineering and to identify reasonable limits of stratospheric aerosol engineering.
Fields:
Monthly, 10-day, daily, and 6-hourly output of atmospheric variables, ocean, ice, land, input for crop models
References:
Tilmes et al., 2018
Keywords:
SRM, SAI, Ensemble, Impacts, Climate, Chemistry, Global, Model
Model/models:
CESM2 Whole Atmosphere Community Climate Model (WACCM)
CLM5.0-BGC (Land), POP2 (ocean), CICE4 (sea ice).
CLM5.0-BGC (Land), POP2 (ocean), CICE4 (sea ice).
Scenario:
Baseline: SSP5-85 and SSP5-34-OS
SAI Temperature Targets: 2020 (1.5C above 1800-1850), and 2034 (2.0C above 1800-1850)
SAI Temperature Targets: 2020 (1.5C above 1800-1850), and 2034 (2.0C above 1800-1850)
Simulations:
Baseline: 3 ensemble members each:
SSP5-85 2020-2100, SSP5-34-OS 2034-2100;
SAI: 3 ensemble members Geo-SSP5-85 1.5C, Geo-SSP5-34 1.5C, Geo-SSP5-34 2.0C.
SSP5-85 2020-2100, SSP5-34-OS 2034-2100;
SAI: 3 ensemble members Geo-SSP5-85 1.5C, Geo-SSP5-34 1.5C, Geo-SSP5-34 2.0C.
Purpose:
The results of these simulations can be used to identify robust regional and seasonal climate change, extremes, and variability as the result of strategically performed geoengineering. The simulations allow to contrast a high forcing scenario with a Peakshaving scenario and identify differences in particular in the second half of the 21st century.
Fields:
Monthly, 10-day, daily ariables, ocean, ice, land, input for crop models
References:
Tilmes et al., 2020
Keywords:
SRM, SAI, Ensemble, Impacts, Climate, Chemistry, Global, Model
Model/models:
BNU-ESM, CanESM2, CESM-CAM5.1-FV, CCSM4 (CESM-CAM4), CMCC-CMS, CSIRO, Mk3L, EC-Earth, GISS-E2-R, HadCM3, HadGEM2-ES, IPSL-CM5A-LR, MIROC-ESM, MPI-ESM-LR, NorESM1-M, CNRM-ESM1, CanESM5, CESM2(WACCM6), CNRM-ESM2-1, GISS-E2.1-G, IPSL-CM6A-LR, NorESM1-ME, NorESM2-LM, UKESM1, MPI-ESM1.2-LR, MPI-ESM1.2-HR
Scenario:
Baseline: 4xCO2
Targets: piControl
Targets: piControl
Simulations:
Baseline: 1000 year simulations
SAI: Solar dimming, 100 year simulations
SAI: Solar dimming, 100 year simulations
Purpose:
Artifical setup to understand a large solar dimming application to the climate system.
Fields:
Monthly, some daily output of atmospheric variables, ocean, ice
References:
Kravitz et al. (2011)
Keywords:
SRM, Model, Climate, Chemistry, Global
Model/models:
BNU-ESM, CanESM2, CESM-CAM5.1-FV, CCSM4 (CESM-CAM4), CMCC-CMS, CSIRO Mk3L, GISS-E2-R, HadCM3, HadGEM2-ES, IPSL-CM5A-LR, MIROC-ESM, MPI-ESM-LR, NorESM1-M
Scenario:
Baseline: 1%/yrCO2
Targets: piControl
Targets: piControl
Simulations:
Baseline: 1000 year simulations
SAI: Solar dimming, 100 year simulations
SAI: Solar dimming, 100 year simulations
Purpose:
Artifical setup to understand increasing solar dimming to the climate system.
Fields:
Monthly, some daily output of atmospheric variables, ocean, ice
References:
Kravitz et al. (2011)
Keywords:
SRM, Model, Climate, Chemistry, Global
Model/models:
BNU-ESM, GISS-E2-R, HadGEM2-ES, IPSL-CM5A-LR, MPI-ESM-LR, NorESM1-M
Scenario:
Baseline: RCP4.5
Targets: 2020 temperatures
Targets: 2020 temperatures
Simulations:
Baseline: 2020-2100
SAI: 2020-2100, sulfur injections between 2020-2070, termination in 2070
SAI: 2020-2100, sulfur injections between 2020-2070, termination in 2070
Purpose:
Offset RCP4.5 temperature increase with increasing injection rates to maintain temperatures at 2020 levels
Fields:
Monthly, some daily output of atmospheric variables, ocean, ice
References:
Kravitz et al. (2011)
Keywords:
SRM, Model, Climate, Chemistry, Global
Model/models:
BNU-ESM, CanESM2, CMCC-CMS, GISS-E2-R, HadGEM2-ES, MIROC-ESM, MIROC-ESM-CHEM, NorESM1-M, ULAQ-CCM, GEOSCCM, CNRM-ESM1
Scenario:
Baseline: 2020-2100
Targets:
Targets:
Simulations:
Baseline: 2020-2100
SAI: 2020-2100: 5 TgSO2/yr injections between 2020-2070Solar dimming, Termination in 2070
SAI: 2020-2100: 5 TgSO2/yr injections between 2020-2070Solar dimming, Termination in 2070
Purpose:
Offset RCP4.5 temperature increase with fixed injection rates (5 Tg-SO₂/yr)
Fields:
Monthly, some daily output of atmospheric variables, ocean, ice
References:
Kravitz et al. (2011)
Keywords:
SRM, Model, Climate, Chemistry, Global