Climate impact indicators
Global essential climate variables/indicators used

Our essential climate variables are observations and model simulations of daily Maximum and Minimum surface air temperature.

Regional/local indicators used and produced

We are aiming to use regional high-quality observations of daily maximum and minimum temperature to evaluate climate simulations on regional scale.

Global data to regional/local scale

Step 1: Collect of global observations and simulations of daily minimum and maximum temperature from the CDS.

Step 2: Evaluation of global simulations of mean surface air temperature over historical period using the observations

Step 3: Sub-select a group of model simulations that failed the evaluation and will not be used further

Step 4: Apply the methodology used for calculating the Excessive Heat Factor (EHF) to both observations and simulations over the historical period

Step 5: Sub-select the Australian region and check/compare heat wave metrics against the Bureau of Meteorology high-quality observational data set.

Step 6: Using the remaining model simulations, calculate future EHF characteristics under high and low emission scenario.

Step 7: Provide the data/results locally using the visualisation tools from the C3S Global Service provider

Climate Research Section, Bureau of Meteorology

Population and Public Health, NSW Ministry of Health

Poster displayed at the Kick–Off meeting, 7/8 September 2017, Norrköping, Sweden

More records were again broken during the 2016-17 summer