On the uncertainties associated with using gridded rainfall data as a proxy for observed

摘要: Gridded rainfall datasets are used in many hydrological and climatological studies, Australia elsewhere, including for hydroclimatic forecasting, climate attribution studies model performance assessments. The attraction of the spatial coverage provided by gridded data is clear, particularly where temporal resolution gauge network sparse. However, question that must be asked whether it suitable to use as a proxy observed point data, given inherently "smoothed" may not necessarily capture variability Australian which leads extremes (i.e. droughts, floods). This study investigates this through statistical analysis three monthly – Bureau Meteorology (BOM) dataset, Water Availability Project (AWAP) SILO dataset. results monthly, seasonal annual comparisons show only different relative each other, there also marked differences between at gauges within corresponding grids extremely wet or dry conditions. Also important appear non-systematic. To demonstrate implications using gauged rainfall-runoff applied one catchment South initially source input then data. indicate markedly runoff response associated with sources It should noted does seek identify dataset "best" Australia, has its pros cons, Rather, intention quantify various how they compare so these can considered accounted utilise datasets. Ultimately, if key decisions going based on outputs models an estimate (or least understanding) uncertainties relating assumptions made development compares reality made.