Rainfall variability in Australia in the 20th century
Introduction
The current drought, said to be one of the worst in Australian history, has generated much discussion in the context of climate change and the ‘greenhouse effect’. There is general agreement that global warming has occurred, and with it, changes in rainfall patterns. These patterns have varied from one part of the country to another. There appear to have been changes in the major synoptic circulation such that widespread heavy rain events are not now as common as they were in the 1950s to 1990s.
This paper is an attempt to draw together the various changes that have occurred in rainfall across the continent in the last 100 years or so (Click the links to various charts and graphs; they should be easily viewable through any standard Windows graphics viewer).
Scope
I have sought to address the following questions:
1. How do the data in each decade measure up against long and short term averages?
2. Have heavy rain events in NSW become less frequent?
3. Have rainfall patterns changed? An amateur’s attempt at statistical breakpoint analysis
4. How did extreme rainfalls in the Sydney basin compare during wet and dry spells?
5. Conclusions, and future rainfall events..will global warming be the main player?
The following maps (courtesy Bureau of Meteorology) show the trends that have occurred at various stages across the country since 1900. As you can see, the long term, apparent upward trend, can be misleading:
Trend in annual rainfall:1900-2005 Trend in annual rainfall:1950-2005 Trend in annual rainfall:1970-2005 Average annual rainfall in Australia:1900-2005 (time series)
Anomalous rainfalls
The following chart shows rainfall anomalies in all States with respect to the average rainfall for 1900-2005:
Australia wide anomalies:1900-2005while the following two charts show the anomalies across a selection of the Greater Sydney Basin, with respect to both the average for 1900-2005, and the standard 30-year normal (1961-1990):
Capital cities and the Sydney basin anomalies against the 1900-2005 mean Capital cities and the Sydney basin anomalies against the 1961-1990 meanA few observations from these:
The frequency of heavy rains
The following charts show the relative frequency of occurrence of heavy rainfalls at several locations in and around Sydney. The graphs are of the total number of months in each decade in which the total rain received exceeded 350mm, 250mm, 150mm, and 50mm.
Moss Vale Post Office Robertson Post Office Wollongong University Katoomba Mosman Prospect Reservoir Turramurra Sydney (Bureau of Meteorology)
Although this is a very limited sample of data, the following is evident:
1. No clear pattern is evident that would suggest that heavy rain events are generally diminishing. However their occurrence does certainly go up and down. The charts suggest weak cycles of fluctuations which themselves vary with location, and do so over a shorter time span.
2. High-end extreme rainfalls have decreased in Sydney, having peaked in the wetter years from 1950. Southwest of the greater Sydney area (eg Moss Vale, near Warragamba Dam), heavier rainfalls were more occurrent in the first half of the 20th century, whereas since 1950 they have dropped off there at the same time greater Sydney was peaking.
3. In the Blue Mountains, variations were more comparable to Sydney but the greatest incidences of extremes occurred in the 1970s there, as against the 1950s in Sydney. Falls of a lower magnitude (eg >50mm) have not decreased as markedly.
4. Synoptic patterns causing the change to higher rainfalls from 1950 across Sydney were limited in their effects, with local orography playing a significant role.
5. There was a greater concentration of rainfall from coastal cyclonic systems.
6. Clearly the drop in extreme rainfall amounts is a significant factor in overall decreases in rainfalls since 2000. A likely major cause is a change in the influence of the Indian Ocean, and/or the frequency of ‘northwest cloud bands’.
Climatic patterns
Before dealing with this, I need to show the statistical background to the conclusions reached.
The task, as I saw it, was to examine the historical data for a number of locations to see if there was a point at which the pattern changed from one level to another. This was best done with a breakpoint analysis (sometimes known as a changepoint analysis). A breakpoint analysis does the following:
I then sought to verify what the analysis disclosed by running 2 further statistical tests; the F-test for changes in the variances (of the data before and after the ‘change’ where one was detected), and the t-test for the difference of the means of those data.
This was done as follows:
The variances needed to be tested as this would determine the type of t-test to be applied. The tests assume the data are normally distributed and this was verified before testing.
The overall conclusion was that the changes detected by the breakpoint analysis were justified however that analysis appeared to be insensitive to changes over smaller timeframes, such as in the last 10 years or so (see note on the Melbourne results)
The following charts show the results for various locations, preceded by a summary of terms and graphics used in them:
Overview..graphics, terms and descriptions Sydney Randwick Turramurra Mosman Windsor Adelaide Melbourne Brisbane Darwin New South Wales Victoria NorthernTerritory Western Australia Queensland Tasmania South AustraliaThe following was observed:
Extreme rainfalls in the Sydney basin—variability during dry spells
In the last 105 years there have been 4 major dry spells;1901-1912, 1920-1928, 1935-1948, and 2000-2005. If we take a subset of the 1935-1948 period, the period from 1035-1041 was particularly dry.
The following charts show the movement of the 0.5th and 99.5th percentiles of annual rainfalls in the Sydney basin. They show respectively the lowest 0.5% and the highest 0.5% of the falls.
The lowest 0.5% of annual rainfalls The highest 0.5% of annual rainfallsThe following points were apparent:
CONCLUSIONS
Many attempts have been made to predict the likely outcome of the global warming phenomenon. There are different schools of thought on this but the one that gets the greatest public attention, often through left-wing academics and media, is the doomsday scenario, which comes to us in various degrees. It has not been the purpose of this paper to get into the political side of the debate, but it is my view that the attribution of the warming to human activity has been excessively misapplied. This is because there has not been enough research into solar and other cycles. In addition, it is debatable as to whether the data we have are sufficiently robust to warrant some of the conclusions that are being drawn by climate scientists.
With reference to rainfalls themselves, the following conclusions are apparent: