University of Tasmania
Browse

File(s) not publicly available

Three putative types of El Nino revealed by spatial variability in impact on Australian wheat yield

journal contribution
posted on 2023-05-17, 06:56 authored by Potgieter, AB, Hammer, GL, Holger MeinkeHolger Meinke, Stone, RC, Goddard, L
The El Nino-Southern Oscillation (ENSO) phenomenon significantly impacts rainfall and ensuing crop yields in many parts of the world. In Australia, El Nino events are often associated with severe drought conditions. However, El Nino events differ spatially and temporally in their manifestations and impacts, reducing the relevance of ENSO-based seasonal forecasts. In this analysis, three putative types of El Nino are identified among the 24 occurrences since the beginning of the twentieth century. The three types are based on coherent spatial patterns ("footprints") found in the El Nino impact on Australian wheat yield. This bioindicator reveals aligned spatial patterns in rainfall anomalies, indicating linkage to atmospheric drivers. Analysis of the associated ocean-atmosphere dynamics identifies three types of El Nino differing in the timing of onset and location of major ocean temperature and atmospheric pressure anomalies. Potential causal mechanisms associated with these differences in anomaly patterns need to be investigated further using the increasing capabilities of general circulation models. Any improved predictability would be extremely valuable in forecasting effects of individual El Nino events on agricultural systems.

History

Publication title

Journal of Climate

Volume

18

Issue

10

Pagination

1566-1574

ISSN

0894-8755

Department/School

Tasmanian Institute of Agriculture (TIA)

Publisher

Amer Meteorological Soc

Place of publication

45 Beacon St, Boston, USA, Ma, 02108-3693

Repository Status

  • Restricted

Socio-economic Objectives

Climate variability (excl. social impacts)

Usage metrics

    University Of Tasmania

    Categories

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC