BAMOS Vol 31 No.2 June 2018 | Page 18

BAMOS Jun 2018 18 Position statement Weather Analysis and Prediction in Australia Prepared by an Expert Group comprising Michael Reeder (Chair), Noel Davidson, Beth Ebert, Terry Hart, Dean Narramore, Liz Ritchie-Tyo and Claire Vincent Editor’s note: The following represents an extended version of the AMOS Position Statement on Weather Analysis and Prediction in Australia, which was formally adopted in August 2017. 1. Introduction The term “Weather” refers to the state of the atmosphere on spatial scales from that of an individual cloud to that of global-scale wind systems and on time scales of seconds to two weeks. Routine weather forecasts help the general public, industry, agriculture, government, defence, and other sectors make myriad daily decisions ranging from what to wear to how to operate their business. Weather warnings alert users to dangerous conditions, allowing them to take action to protect life and property. In Australia, the Bureau of Meteorology (BoM) has statutory responsibility for making and issuing weather forecasts and warnings. A recent study by London Economics estimated that, “for every dollar spent on delivering Bureau [of Meteorology] services, these services return a benefit of $11.60 to the Australian economy.” Private-sector companies complement these taxpayer-funded services by customising forecasts for industry and other users. Research into the underpinning science of weather and its application to weather prediction is conducted in Australian universities, the Commonwealth Scientific and Industrial Research Organization, and of course the BoM. In addition, the universities and the BoM train the nation’s future generation of meteorologists. 2. How is the Weather Predicted? 1 warnings. The mapping of weather systems provided the basis for investigating these travelling weather systems. In parallel with these efforts, the fundamental laws of fluid mechanics and the physics of the atmosphere were being understood. Weather occurs on many scales from large- scale features that move around the planet (for example, low pressure systems and cold fronts) to smaller scale features (for instance, sea breeze circulations and thunderstorms), to very fine scale turbulence (such as the clear air turbulence that occasionally affects aircraft). All these phenomena are governed by the laws of physics. Today, weather forecasters rely heavily on computer models that solve the mathematical expressions for these classical laws of physics. The idea that this was possible goes back to the first half of the twentieth century, and in particular to the British mathematician and physicist L. F. Richardson. Richardson’s approach, however, only really became practical with the invention of the computer, which could replace his imagined army of human calculators. The subsequent development of computer weather prediction, or numerical weather prediction as it is now called, has been one of the great technological achievements of the second half of the twentieth century. (Bauer et al., 2015). To make the problem solvable on a computer, numerical weather prediction approximates and solves these laws at discrete points in space and time on a spatial grid covering the Earth (Figure 1). Attempts to forecast the weather date back to antiquity as is evident in the description of weather patterns captured in local wisdom, folklore and early scientific treatises. As information on weather across nations and internationally became available, particularly the observation of changes in pressure associated with storms, it was recognised that weather was organised in large-scale systems that moved. The need to save lives, especially on ships at sea, drove early attempts by public servants, such as the Dutch meteorologist C. H. D. Buys Ballot and English scientist and Vice Admiral (and commander of HMS Beagle on Charles Darwin’s voyage) Robert FitzRoy, to provide fore-warning of storms. The deployment of the telegraph network allowed weather information to be exchanged quickly and areas of potential storms identified in time to provide Some suggested books on the history of weather analysis and prediction are listed at the end of the article. 1 Figure 1. A schematic showing grid points, both horizontal and vertical, at which calculations are made in a numerical prediction model of the atmosphere. (Source: Bureau of Meteorology)