MetAccess is a program for displaying and analysing daily weather records

Climate is the driving force behind most agricultural systems. The recurring message is that the climate is extremely variable. With this scenario, agricultural production systems can only be sustainable in the long term, if management strategies incorporate the variable nature of the climate regime in which they are placed.

There has been much publicity surrounding climate change. However in the short and medium term, existing climate variability will be highly significant to the profitability of production routines.

MetAccess is designed to display and analyse daily weather records and provide users with estimates of probability of specified weather patterns within the range of data from a specified locality.

MetAccess has been developed to give users full access to the large database of weather records collected by the Australian Bureau of Meteorology (BoM) from official stations around the continent as well as locally collected data or databases from other countries.

MetAccess allows the user to summarise and analyse long term recordings of weather events displaying the results in a graphical or tabular form.

A feature of MetAccess is its facility for calculating an estimate, of the long term probability of the occurrence, of specified weather events or patterns at a particular site. Calculations are based on the frequency of patterns in the recorded data and do not involve statistical modelling of variation in weather observations.

Graph and tabulate options allow the daily records for a chosen element to be displayed in historical sequence as daily, mean monthly, or mean annual values. As long term averages for daily, monthly or yearly data or as similar averages as calculated over a nominated span of years. Alternatively, data for a specified period within each 12 month period (for example, each 1 August to 30 September), over a nominated range of years, may be plotted or tabulated, either chronologically or sorted from smallest to largest value.

Raw or treated data can be plotted or tabulated and exported to other programs. Treatments include calculating consecutive means, totals or medians for specified groups of data, running means, totals or medians or cumulations.

The Probability option can be used to calculate the proportion of occasions a specific condition has been satisfied within the span of the data set. This proportion is taken to be an estimate of the probability of the event. There are three different ways in which the probability can be estimated – simple, cumulative and consecutive,

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