Journal
HYDROLOGICAL PROCESSES
Volume 34, Issue 5, Pages -Publisher
WILEY
DOI: 10.1002/hyp.13637
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Funding
- Department of Environment, Land, Water and Planning, State Government of Victoria [37764]
- University of Melbourne
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Meteorological time-series data are a fundamental input to hydrological investigations. But sourcing data is often laborious and plagued with difficulties. In an effort to improve efficiency and rigor we present an R-package, named AWAPer (), for the efficient estimation of daily area weighted catchment average and spatial variance of meteorological variables, including evapotranspiration. The package allows creation and updating of a data-cube of gridded daily data from 1900 onwards. Once created, point and area weighted estimates can be extracted at user-defined locations and time periods for anywhere within Australia. Examples of point and catchment average extraction are presented.
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