Australia’s Tinderbox Drought: An extreme natural event likely worsened by human-caused climate change

We examine the characteristics and causes of southeast Australia’s Tinderbox Drought (2017–2019) that preceded the Black Summer fire disaster. The Tinderbox Drought was characterised by cool season rainfall deficits of around –50% in three consecutive years, which was exceptionally unlikely in the context of natural variability alone. The precipitation deficits were initiated and sustained by an anomalous atmospheric circulation that diverted oceanic moisture away from the region, despite traditional indicators of drought risk in southeast Australia generally being in neutral states. Moisture deficits were intensified by unusually high temperatures, high vapour pressure deficits and sustained reductions in terrestrial water availability. Anthropogenic forcing intensified the rainfall deficits of the Tinderbox Drought by around 18% with an interquartile range of 34.9% to –13.3% highlighting the considerable uncertainty in attributing droughts of this kind to human activity. Skillful pred..., , , # Australia’s Tinderbox Drought: an extreme natural event likely worsened by human-caused climate change

## Description of the data and file structure

Tinderbox_Drought_data.zip is an archive that contains the listed folders.

Contents of each folder:

* **agricultural_impacts**: Processed data of historical anomalies in agricultural yield, production and area harvested of major crops.

* **drought_break_probability**
GLM_results_*.nc: contains the estimated parameters of the GLM models and the drought breaking probabilities predicted using the models.
probability_contributions/GLM_base_probability_*.nc: contains the base GLM probabilities corresponding to zero values of the climate indices, and the probabilities after including the climate predictors one by one.

* **drought_focus_region**
The shapefile of the drought focus region identified based on percentile thresholds of rainfall & soil moisture, as well as standardised indices.

* **drought_occurrence_p...