Climate extreme indices and heat stress indicators derived from CMIP6 global climate projections

Description

The dataset provides climate extreme indices related to temperature and precipitation as defined by the Expert Team on Climate Change Detection and Indices (ETCCDI), as well as selected heat stress indicators (HSI). The indices are provided for historical and future climate projections (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5) included in the Coupled Model Intercomparison Project Phase 6 (CMIP6) and used in the 6th Assessment Report of the Intergovernmental Panel on Climate Change (IPCC). This dataset provides a comprehensive source of pre-calculated and consistent ETCCDI and heat stress indicators commonly used by the climate science and impact communities. The majority of models used in this catalogue entry are now available in the Climate Data Store though the indices offered in this entry additionally include ensemble members obtained from the Earth System Grid Federation.

The indices are calculated from CMIP6 models that have the necessary daily resolved data for both historical and at least two of the future projections. In addition, four of the chosen models contained a large number of ensemble members in order to enable the estimation of the associated uncertainty in the spread of model outcomes when calculating the ETCCDI indices (CanESM5, EC-Earth3, MIROC6 and MPI-ESM1-2-LR). All the ETCCDI indices in this dataset are calculated using the climdex.pcic R package, which was developed, evaluated and approved by the ETCCDI.

To facilitate the usage of heat stress indicators in combination with thresholds on absolute values, this dataset additionally provides bias-adjusted heat stress indicators. Bias adjustment is carried out using the ISIMIP3b bias-adjustment method and employs the WATCH Forcing Data methodology applied to ERA5 (WFDE5) dataset as reference. Providing both pre-calculated bias-adjusted data and data without bias adjustment is of great value for climate and impact studies since the calculation of these datasets also are computationally expensive. The WFDE5 dataset is also available in the Climate Data Store.

Version 2.0

An update to the calculation for the Wet-bulb temperature index in version 1.0 has been implemented. Version 2.0 of the dataset includes the updated calculation method and recalculated Wet-bulb temperature index and Wet-bulb globe temperature index data.

Empty data files  for multiple ETCCDI & HSI variables produced using the KACE-1-0-G model have been identified and corrected in version 2.0 of the dataset.

This dataset was produced on behalf of the Copernicus Climate Change Service.

The spatial resolution varies from 0.5° x 0.5° to 2.8125° x 2.8125° depending on the model used as input.

Local host

Available at NCI as part of the Australian Community Reference Climate Data Collection at:

• /g/data/ia39/aus-ref-clim-data-nci/cmip6_etccdi/data/v1-0

To join project:

• https://my.nci.org.au/mancini/login?next=/mancini/project/ia39

Can also be accessed via the collection intake catalogue: 

• https://github.com/aus-ref-clim-data-nci/acs-replica-intake

Access information

Sandstad, M., Schwingshackl, C., Iles, C.E., Sillmann, J., (2022): Climate extreme indices and heat stress indicators derived from CMIP6 global climate projections, [specify product used], v1, Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on [DD-MMM-YYYY]), https://doi.org/10.24381/cds.776e08bd

All users of this dataset must:

• provide clear and visible attribution to the Copernicus programme by referencing the web catalogue entry
• acknowledge according to the data licence
• acknowledge the providers by using the following citations

For the ETCCDI indices: 
 

• We acknowledge the ETCCDI indices for CMIP6 provided through the Copernicus Climate Data Store, documented in Sillmann et al. (2013) and Kim et al. (2020).
• Sillmann, J., V. V. Kharin, X. Zhang, F. W. Zwiers and D. Bronaugh, 2013: Climate extremes indices in the CMIP5 multi-model ensemble. Part 1: Model evaluation in the present climate. J. Geophys. Res. Atmos., 118, 1716-1733, doi: 10.1002/jgrd.50203
• Kim, Y.-H., S. Min, X. Zhang, J. Sillmann, and M. Sandstad, 2020: Evaluation of the CMIP6 multi-model ensemble for climate extreme indices, Weather and Climate Extremes, 29, doi: 10.1016/j.wace.2020.100269

For the heat stress indicators:
 

• We acknowledge the heat stress indicators for CMIP6 provided through the Copernicus Climate Data Store and documented in Schwingshackl et al. (2021).
• Schwingshackl, C., J. Sillmann, A. M. Vicedo‐Cabrera, M. Sandstad, and K. Aunan 2021: Heat Stress Indicators in CMIP6: Estimating Future Trends and Exceedances of Impact‐Relevant Thresholds. Earths Future, 9, e2020EF001885. https://doi.org/10.1029/2020EF001885

Please refer to:

 How to acknowledge, cite and reference data published on the Climate Data Store

 for complete details.

Additional details