AWAPer: An R package for area weighted catchment daily meteorological data anywhere within Australia
Corresponding Author
Tim J. Peterson
Department of Civil Engineering, Monash University, Melbourne, Australia
Department of Infrastructure Engineering, The University of Melbourne, Melbourne, Australia
Correspondence
Tim J. Peterson, Department of Civil Engineering, Monash University, Melbourne, Australia.
Email: [email protected]
Search for more papers by this authorConrad Wasko
Department of Infrastructure Engineering, The University of Melbourne, Melbourne, Australia
Search for more papers by this authorMargarita Saft
Department of Infrastructure Engineering, The University of Melbourne, Melbourne, Australia
Search for more papers by this authorMurray C. Peel
Department of Infrastructure Engineering, The University of Melbourne, Melbourne, Australia
Search for more papers by this authorCorresponding Author
Tim J. Peterson
Department of Civil Engineering, Monash University, Melbourne, Australia
Department of Infrastructure Engineering, The University of Melbourne, Melbourne, Australia
Correspondence
Tim J. Peterson, Department of Civil Engineering, Monash University, Melbourne, Australia.
Email: [email protected]
Search for more papers by this authorConrad Wasko
Department of Infrastructure Engineering, The University of Melbourne, Melbourne, Australia
Search for more papers by this authorMargarita Saft
Department of Infrastructure Engineering, The University of Melbourne, Melbourne, Australia
Search for more papers by this authorMurray C. Peel
Department of Infrastructure Engineering, The University of Melbourne, Melbourne, Australia
Search for more papers by this authorAbstract
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 (https://github.com/peterson-tim-j/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.
Open Research
DATA AVAILABILITY STATEMENT
The source code that support the findings of this study is open-source and available on GitHub at https://github.com/peterson-tim-j/AWAPer. The input data to the software is available in the public domain: http://www.bom.gov.au/jsp/awap/index.jsp.
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