Register      Login
The Rangeland Journal The Rangeland Journal Society
Journal of the Australian Rangeland Society
RESEARCH ARTICLE (Open Access)

Forecasting rainfall based on the Southern Oscillation Index phases at longer lead-times in Australia

David H. Cobon A B and Nathan R. Toombs A
+ Author Affiliations
- Author Affiliations

A Science Delivery, Department of Science, Information Technology, Innovation and the Arts, Toowoomba, Qld 4350, Australia.

B Corresponding author. Email: david.cobon@science.dsitia.qld.gov.au

The Rangeland Journal 35(4) 373-383 https://doi.org/10.1071/RJ12105
Submitted: 10 December 2012  Accepted: 12 August 2013   Published: 21 October 2013

Journal Compilation © Australian Rangeland Society 2013

Abstract

Under the extensive grazing conditions experienced in Australia, pastoralists would benefit from a long lead-time seasonal forecast issued for the austral warm season (November–March). Currently operational forecasts are issued publicly for rolling 3-month periods at lead-times of 0 or 1 month, usually without an indication of forecast quality. The short lag between the predictor and predictand limits use of forecasts because pastoralists operating large properties have insufficient time to implement key management decisions. The ability to forecast rainfall based on the Southern Oscillation Index (SOI) phase system was examined at 0–5-month lead-times for Australian rainfall. The SOI phase system provided a shift of adequate magnitude in the rainfall probabilities (–40 to +30%) and forecast quality for the 5-month austral warm season at lead-times >0 months. When data used to build the forecast system were used in verification, >20% of locations had a significant linear error in probability space (LEPS) and Kruskal–Wallis (KW) test for lead-times of 0–2 months. The majority of locations showing forecast quality were in northern Australia (north of 25°S), predominately in north-eastern Australia (north of 25°S, east of 140°E). Pastoralists in these areas can now apply key management decisions with more confidence up to 2 months before the November–March period. Useful lead-times of ≥3 months were not found.

Additional keywords: El Nino Southern Oscillation, forecast quality, hindcasting, Inter-decadal Pacific Oscillation, pastoralists.


References

Abawi, G. Y., Dutta, S. C., Harris, T., Ritchie, J., Rattray, D., and Crane, A. (2000). The use of seasonal climate forecasts in water resources management. In: ‘Proceedings of the Third International Hydrology and Water Resources Symposium of the Institution of Engineers’. Canberra. pp. 20–23. (Institution of Engineers: Canberra, ACT.)

Adams, R., Bryant, K., McCarl, B., Legler, D., O’Brien, J., Solow, A., and Weiher, R. (1995). Value of improved long-range weather information. Contemporary Economic Policy 13, 10–19.
Value of improved long-range weather information.Crossref | GoogleScholarGoogle Scholar |

Allan, R. J. (2000). ENSO and climate variability in the last 150 years. In: ‘El Nino and the Southern Oscillation: Multiscale Variability and its Impacts on the Natural Ecosystems and Society’. (Eds H. F. Diaz and V. Markgraf.) pp. 3–56. (Cambridge University Press: Cambridge, UK.)

Ash, A. J., O’Reagain, P., McKeon, G. M., and Stafford Smith, M. (2000). Managing climatic variability in grazing enterprises: a case study for Dalrymple shire, north-eastern Australia. In: ‘Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems – the Australian Experience’. (Eds G. L. Hammer, N. Nicholls and C. Mitchell.) pp. 253–70. (Kluwer Academic Press: Amsterdam, The Netherlands.)

Australian Government Bureau of Meteorology (2013). Australian seasonal rainfall zones. Bureau of Meteorology. Available at: www.bom.gov.au/climate/environ/other/aus_seas_zones.shtml

Australian Government Department of Agriculture Fisheries and Forestry (2004). ‘Review of the Agriculture Advancing Australia Package 2000–2004.’ (Australian Federal Government: Canberra, ACT.)

Australian State of the Environment Committee (2001). ‘Australia State of the Environment 2001. Independent Report to the Commonwealth Minister for the Environment and Heritage.’ (CSIRO Publishing: Melbourne.) www.environment.gov.au/soe/2011/report/land/index.html

Carter, J. O., Hall, W. B., Brook, K. D., McKeon, G. M., Day, K. A., and Paull, C. J. (2000). Aussie GRASS: Australian grassland and rangeland assessment by spatial simulation. In: ‘Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems’. (Eds G. L. Hammer, N. Nicholls and C. Mitchell.) pp. 329–350. (Kluwer Academic Press: Amsterdam, The Netherlands.)

Chiew, F. H. S., Piechota, T. C., Dracup, J. A., and McMahon, T. A. (1998). El Nino/Southern Oscillation and Australian rainfall, streamflow and drought: links and potential forecasting. Journal of Hydrology 204, 138–149.
El Nino/Southern Oscillation and Australian rainfall, streamflow and drought: links and potential forecasting.Crossref | GoogleScholarGoogle Scholar |

Clewett, J. F., Clarkson, N. M., George, D. A., Ooi, S. H., Owens, D. T., Partridge, I. J., and Simpson, G. B. (2003). ‘Rainman Streamflow Version 4.3: a comprehensive climate and streamflow analysis package on CD to assess seasonal forecasts and manage climate risk.’ (Department of Primary Industries, Queensland: Brisbane.)

Cobon, D. H. (1999). Use of seasonal climate forecasts for managing grazing systems in western Queensland. In: ‘Proceedings of the VIth International Rangeland Congress’. Townsville, Qld. Volume 2. (Eds D. Eldridge and D. Freudenberger.) pp. 855–857. (VIth International Rangeland Congress, Inc.: Aitkenvale, Qld.)

Cobon, D. H., and McKeon, G. M. (2002). The value of seasonal forecasts in maintaining the resource and improving profitability in grazing systems – a case study in western Queensland. In: ‘Learning from history – can seasonal forecasting prevent land degradation of Australia’s grazing lands?’. Technical Report for the Climate Variability in Agriculture Program. Chapter 4. (Eds G. M. McKeon and W. B. Hall.) pp. 273–297. (Land and Water Australia: Canberra, ACT.)

Conover, W. J. (1971). ‘Practical Non-parametric Statistics.’ (John Wiley and Sons: New York.)

DelSole, T., and Shukla, J. J. (2009). ‘Artificial Skill due to Predictor Screening.’ (American Meteorological Society: Boston, MA.)

Drosdowsky, W., and Allan, R. (2000). The potential for improved statistical seasonal climate forecasts. In: ‘Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems – the Australian Experience’. (Eds G. L. Hammer, N. Nicholls and C. Mitchell.) pp. 77–87. (Kluwer Academic Press: Amsterdam, The Netherlands.)

Everingham, Y. L., Muchow, R. C., Stone, R. C., and Coomans, D. H. (2003). Using Southern Oscillation Index phases to forecast sugarcane yields: a case study for north-eastern Australia. International Journal of Climatology 23, 1211–1218.
Using Southern Oscillation Index phases to forecast sugarcane yields: a case study for north-eastern Australia.Crossref | GoogleScholarGoogle Scholar |

Fawcett, R. J. B., and Stone, R. C. (2010). A comparison of two seasonal rainfall systems for Australia. Australian Meteorological and Oceanographic Journal 60, 15–24.

Folland, C. K., Parker, D. E., Colman, A. W., and Washington, R. (1998). ‘Large-scale Modes of Ocean Surface Temperature since the late Nineteenth Century.’ (Hadley Centre, UK Meteorological Office: Exeter, UK.)

Good, P. I. (1997). ‘Permutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses.’ 3rd edn. (Springer-Verlag: New York.)

Gordon, N. D. (1986). The Southern Oscillation and New Zealand weather. Monthly Weather Review 114, 371–387.
The Southern Oscillation and New Zealand weather.Crossref | GoogleScholarGoogle Scholar |

Hammer, G. L., Holzworth, D. P., and Stone, R. C. (1996). The value of skill in seasonal climate forecasting to wheat crop management in a region with high climatic variability. Australian Journal of Agricultural Research 47, 717–737.
The value of skill in seasonal climate forecasting to wheat crop management in a region with high climatic variability.Crossref | GoogleScholarGoogle Scholar |

Jeffrey, S. J., Carter, J. O., Moodie, K. M., and Beswick, A. R. (2001). Using spatial interpolation to construct a comprehensive archive of Australian climate data. Environmental Modelling & Software 16, 309–330.
Using spatial interpolation to construct a comprehensive archive of Australian climate data.Crossref | GoogleScholarGoogle Scholar |

Johnston, P., McKeon, G., Buxton, R., Cobon, D., Day, K., Hall, W., and Scanlan, J. (2000). Managing climatic variability in Queensland’s grazing lands – new approaches. In: ‘Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems – the Australian Experience’. (Eds G. L. Hammer, N. Nicholls and C. Mitchell.) pp. 197–226. (Kluwer Academic Press: Amsterdam, The Netherlands.)

Keogh, D. U., Bell, K. L., Park, J. N., and Cobon, D. H. (2004). Formative evaluation to benchmark and improve climate-based decision support for graziers in western Queensland. Australian Journal of Experimental Agriculture 44, 233–246.
Formative evaluation to benchmark and improve climate-based decision support for graziers in western Queensland.Crossref | GoogleScholarGoogle Scholar |

Keogh, D. U., Watson, I. W., Bell, K. L., Cobon, D. H., and Dutta, S. C. (2005). Climate information needs of Gascoyne-Murchison pastoralists: a representative study of the Western Australian grazing industry. Australian Journal of Experimental Agriculture 45, 1613–1626.
Climate information needs of Gascoyne-Murchison pastoralists: a representative study of the Western Australian grazing industry.Crossref | GoogleScholarGoogle Scholar |

Köppen, W. (1931). ‘Klimakarte der Erde.’ 2nd edn. (Grundriss der Klimakunde: Berlin and Leipzig.)

Kruskal, W. H., and Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association 47, 583–621.
Use of ranks in one-criterion variance analysis.Crossref | GoogleScholarGoogle Scholar |

Legendre, P., and Legendre, S. (1998). ‘Numerical Ecology.’ 2nd edn. (Elsevier Science B.V.: Amsterdam, The Netherlands.)

Lim, E., Hendon, H. H., Langford, S., and Alves, O. (2012). ‘Improvements in POAMA2 for the Prediction of Major Climate Drivers and South-eastern Australian Rainfall.’ (Centre for Australian Weather and Climate Research: Melbourne.)

Maia, A. de H. N., Meinke, H., Lennox, S., and Stone, R. (2007). Inferential, non-parametric statistics to access quality of probabilistic forecast systems. Monthly Weather Review 135, 351–362.
Inferential, non-parametric statistics to access quality of probabilistic forecast systems.Crossref | GoogleScholarGoogle Scholar |

Mantua, N. J., Hare, S. R., Zhang, Y., Wallace, J. M., and Francis, R. C. (1997). A Pacific inter-decadal climate oscillation with impacts on salmon production. Bulletin of the American Meteorological Society 78, 1069–1079.
A Pacific inter-decadal climate oscillation with impacts on salmon production.Crossref | GoogleScholarGoogle Scholar |

McBride, J. L., and Nicholls, N. (1983). Seasonal relationships between Australian rainfall and the Southern Oscillation. Monthly Weather Review 111, 1998–2004.
Seasonal relationships between Australian rainfall and the Southern Oscillation.Crossref | GoogleScholarGoogle Scholar |

McIntosh, P. C., Ash, A. J., and Stafford Smith, M. (2005). From oceans to farms: the value of a novel statistical climate forecast for agricultural management. Journal of Climate 18, 4287–4302.
From oceans to farms: the value of a novel statistical climate forecast for agricultural management.Crossref | GoogleScholarGoogle Scholar |

McKeon, G. M., Ash, A. J., Hall, W., and Stafford Smith, M. (2000). Simulation of grazing strategies for beef production in north-east Queensland. In: ‘Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems – the Australian Experience’. (Eds G. L. Hammer, N. Nicholls and C. Mitchell.) pp. 227–52. (Kluwer Academic Press: Amsterdam The Netherlands.)

Meinke, H., and Hammer, G. L. (1997). Forecasting regional crop production using SOI phases: an example for the Australian peanut industry. Australian Journal of Agricultural Research 45, 1557–1568.

Murphy, A. H. (1993). What is a good forecast? An essay on the nature of goodness in weather forecasting. Weather and Forecasting 8, 281–293.
What is a good forecast? An essay on the nature of goodness in weather forecasting.Crossref | GoogleScholarGoogle Scholar |

Nicholls, N. (2001). The insignificance of significance testing. Bulletin of the American Meteorological Society 82, 981–986.
The insignificance of significance testing.Crossref | GoogleScholarGoogle Scholar |

Nicholls, N., Lavery, B., Frederiksen, C., and Drosdowsky, W. (1996). Recent apparent changes in relationships between the El Niño Southern Oscillation and Australian rainfall and temperature. Geophysical Research Letters 23, 3357–3360.
Recent apparent changes in relationships between the El Niño Southern Oscillation and Australian rainfall and temperature.Crossref | GoogleScholarGoogle Scholar |

Nicholls, N., Drosdowsky, W., and Lavery, B. (1997). Australian rainfall variability and change. Weather 52, 66–72.
Australian rainfall variability and change.Crossref | GoogleScholarGoogle Scholar |

Park, J. N., Cobon, D. H., and Bell, K. L. (2004). Evaluating grazier knowledge of seasonal climate forecasting in the Mitchell grasslands of western Queensland. In: ‘Proceedings of Australian Rangeland Society 13th Biennial Conference’. Alice Springs, NT. pp. 275–276. (Australian Rangeland Society: Alice Springs, NT.)

Paull, C. (2004). Processes for using climate risk management information in rangeland enterprises. In: ‘Proceedings of Australian Rangeland Society 13th Biennial Conference’. Alice Springs, NT. pp. 277–278. (Australian Rangeland Society: Alice Springs, NT.)

Pittock, A. B. (1975). Climatic change and the patterns of variation in Australian rainfall. Search 6, 498–504.

Potgieter, A. B., Hammer, G. L., and Butler, D. (2002). Spatial and temporal patterns in Australian wheat yield and their relationship with ENSO. Australian Journal of Agricultural Research 53, 77–89.
Spatial and temporal patterns in Australian wheat yield and their relationship with ENSO.Crossref | GoogleScholarGoogle Scholar |

Potgieter, A. B., Everingham, Y. L., and Hammer, G. L. (2003). On measuring quality of a probabilistic commodity forecast for a system that incorporates seasonal climate forecasts. International Journal of Climatology 23, 1195–1210.
On measuring quality of a probabilistic commodity forecast for a system that incorporates seasonal climate forecasts.Crossref | GoogleScholarGoogle Scholar |

Potts, J. M., Folland, C. K., Jolliffe, I. T., and Sexton, D. (1996). Revised “LEPS” scores for assessing climate model simulations and long-range forecasts. Journal of Climate 9, 34–53.
Revised “LEPS” scores for assessing climate model simulations and long-range forecasts.Crossref | GoogleScholarGoogle Scholar |

Power, S., and Colman, R. (2006). Multi-year predictability in a coupled general circulation model. Climate Dynamics 26, 247–272.
Multi-year predictability in a coupled general circulation model.Crossref | GoogleScholarGoogle Scholar |

Power, S., Casey, T., Folland, C., Colman, A., and Mehta, V. (1999). Inter-annual modulation of the impact of ENSO on Australia. Climate Dynamics 15, 319–324.
Inter-annual modulation of the impact of ENSO on Australia.Crossref | GoogleScholarGoogle Scholar |

Power, S. B., Haylock, M. H., Colman, R., and Wang, X. (2006). The predictability of inter-decadal changes in ENSO activity and ENSO teleconnections. Journal of Climate 19, 4755–4771.
The predictability of inter-decadal changes in ENSO activity and ENSO teleconnections.Crossref | GoogleScholarGoogle Scholar |

R Foundation (2004). R Version 1.9.1. The R Project for Statistical Computing. Available at: www.r-project.org/

Sheskin, D. J. (2004). ‘Handbook of Parametric and Non-parametric Statistical Procedures.’ 3rd edn. (Chapman & Hall/CRC: New York.)

Stafford Smith, M., Buxton, R., McKeon, G. M., and Ash, A. J. (2000). Seasonal climate forecasting and the management of rangelands: do production benefits translate into enterprise profits? In: ‘Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems – the Australian Experience’. (Eds G. L. Hammer, N. Nicholls and C. Mitchell.) pp. 271–90. (Kluwer Academic Press: Amsterdam, The Netherlands.)

Stern, H., de Hoedt, G., and Ernst, J. (2000). Objective classification of Australian climates. Australian Meteorological Magazine 49, 87–96.

Stone, R. C., Hammer, G. L., and Marcussen, T. (1996). Prediction of global rainfall probabilities using phases of the Southern Oscillation Index. Nature 384, 252–255.
Prediction of global rainfall probabilities using phases of the Southern Oscillation Index.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK28XntFSqsbo%3D&md5=9e3e8921a243e13e5731f92b236d4d61CAS |

Wilks, D. S. (1995). ‘Statistical Methods in the Atmospheric Sciences.’ (Academic Press: New York.)

World Meteorological Organisation (2002). ‘Standardised Verification System for Long Range Forecasts. New attachment II-9 to the manual on the GDPS (WMO No. 485).’ (World Meteorological Association: Geneva, Switzerland.)