蒸散量
集水区
流域
R包
环境科学
差异(会计)
计算机科学
水文学(农业)
地图学
地理
地质学
生物
会计
业务
岩土工程
生态学
计算科学
作者
Tim Peterson,Conrad Wasko,Margarita Saft,Murray Peel
摘要
Abstract 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.
科研通智能强力驱动
Strongly Powered by AbleSci AI