Abstract: The stability of simple linear regression equations for the long-range prediction of Australian spring rainfall was studied. Specifically, the way in which the accuracy of the forecasts depends on the number of years of ...

Abstract: The relationship of the Southern Oscillation and El Niño phenomena to sea surface temperature anomalies in the Indonesian region is investigated. The three are closely related and the relationship has a strong annual cycle. ...

Abstract: An examination of data from 1950 to 1975 has suggested that interannual variations in the number of tropical cyclones are related to pressure anomalies at Darwin in the preceding winter. The closest relationship is with ...

Abstract: The relationship between mean rainfall and the relative variability of annual rainfall is shown to be different for stations that have consistent relationships with ENSO compared with stations not affected by ENSO. Variability ...

Abstract: The relationship between the relative variability of annual rainfall, the long-term mean annual rainfall, the latitude, and the correlation between annual rainfall and the Southern Oscillation Index is examined, using data ...

Abstract: Incremental four-dimensional variational data assimilation is a method that solves the assimilation problem by minimizing a sequence of approximate ?inner-loop? functions. In any implementation of such a scheme a decision ...

Abstract: Correlations between indices of the Southern Oscillation (SO) and areal average rainfall for 107 Australian rainfall districts for the period December 1932 to November 1974 have been calculated. Simultaneous correlations ...

Abstract: An index of the date of onset of the North Australian wet season is defined based on rainfall received at a single station (Darwin). It is demonstrated that this index can be predicted some months ahead. The amount of rain ...

Abstract: Incremental four-dimensional variational data assimilation is the method of choice in many operational atmosphere and ocean data assimilation systems. It allows the four-dimensional variational data assimilation (4DVAR) ...

Abstract: ith the development of convection-permitting numerical weather prediction the efficient use of high-resolution observations in data assimilation is becoming increasingly important. The operational assimilation of these ...