A Synoptic‐Dynamic View of the Millennium Drought (2001–2009) in Southeastern Australia

Abstract Australia has had several severe droughts in its recent history. Most studies have linked these droughts to large‐scale modes of variability, whereas few studies have investigated droughts from the perspective of weather systems. The current study examines a wide range of weather systems focusing especially on heavy rainfall events, which are important to meteorological drought. Two distinct phases (development and recovery) are identified for the Millennium Drought based on the cumulative standardized precipitation index. Differences in precipitation from heavy rainfall events between the two drought phases are most pronounced in autumn and summer. The pronounced reduction in precipitation from autumn heavy rainfall events during the development phase is due to fewer, less intense, faster‐moving warm conveyor belts. In contrast, increased precipitation from autumn heavy rainfall events in the recovery phase is explained by an interaction between warm conveyor belts and upper‐level anticyclonic potential vorticity with a persistent anticyclonic circulation over the Tasman Sea acting to slow the eastward propagation of rainfall‐producing weather systems. In summer, however, the difference in precipitation from heavy rainfall events in the two drought phases is due to changed moisture content within warm conveyor belts. In the recovery phase, the higher moisture content is associated with greater moisture transport over the Tasman Sea between Australia and New Zealand.

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Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2024-11-13
DOI
https://doi.org/10.1029/2024jd041657
Citations
3
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.85

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article

A Synoptic‐Dynamic View of the Millennium Drought (2001–2009) in Southeastern Australia

Tess Parker, Michael Sprenger, Michael J. Reeder, Ailie Gallant et al.
3 citations
Journal of Geophysical Research Atmospheres
Climate variability and models
0.85
article

A Synoptic‐Dynamic View of the Millennium Drought (2001–2009) in Southeastern Australia

Tess Parker, Michael Sprenger, Michael J. Reeder, Ailie Gallant, Chenhui Jin
article en
3 citations

Abstract

Abstract Australia has had several severe droughts in its recent history. Most studies have linked these droughts to large‐scale modes of variability, whereas few studies have investigated droughts from the perspective of weather systems. The current study examines a wide range of weather systems focusing especially on heavy rainfall events, which are important to meteorological drought. Two distinct phases (development and recovery) are identified for the Millennium Drought based on the cumulative standardized precipitation index. Differences in precipitation from heavy rainfall events between the two drought phases are most pronounced in autumn and summer. The pronounced reduction in precipitation from autumn heavy rainfall events during the development phase is due to fewer, less intense, faster‐moving warm conveyor belts. In contrast, increased precipitation from autumn heavy rainfall events in the recovery phase is explained by an interaction between warm conveyor belts and upper‐level anticyclonic potential vorticity with a persistent anticyclonic circulation over the Tasman Sea acting to slow the eastward propagation of rainfall‐producing weather systems. In summer, however, the difference in precipitation from heavy rainfall events in the two drought phases is due to changed moisture content within warm conveyor belts. In the recovery phase, the higher moisture content is associated with greater moisture transport over the Tasman Sea between Australia and New Zealand.

Journal of Geophysical Research AtmospheresVol. 129(22)
Commonwealth Scientific and Industrial Research Organisation (AU), Australian Research Council (AU), ETH Zurich (CH), Monash University (AU)
Eidgenössische Technische Hochschule Zürich
Life below water
Openalex Percentile: Top 27%
Climate variability and models
0.85
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