HEAT WAVES CAUSING HEALTH

STRESS IN AUSTRALIA

 

DATA PRODUCTION

Climate impact indicators
Global essential climate variables/indicators used

Observations and model simulations from CMIP5 (available in the CDS catalogue) of daily maximum and minimum surface air temperature

Regional/local indicators used and produced

Excessive Heat Factor

Global data to regional/local scale

Step 1: Observed temperature from the Australian Bureau of Meteorology high-quality observational data set and global observed temperature from the Climatic Reseach Unit in UK were collected. Model simulations from CMIP5 (daily minimum and maximum temperature), available in the CDS catalogue, were also collected.

Step 2: Global simulations of mean surface air temperature over historical period were evaluated using the observations and several reanalysis products in order to evaluate the observational uncertainty as well.

Step 3: Some models failed the evaluation and therefore will not be used further. A group of model simulations to calculate the Excessive Heat Factor (EHF) was selected.

Step 4: The methodology used for calculating the EHF to both observations and simulations over the historical period was applied.

Step 5: The Australian region was sub-selected and heat wave metrics were checked and compared against the Bureau of Meteorology high-quality observational data set.

Step 6: Using the remaining model simulations, future EHF characteristics were calculated under high and low emission scenarios.

 

Step 7: The results are visualized in the Interactive Climate Atlas.


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