Estimating Areal Precipitation from Rain Gauge Data in Hydrology
Areal (spatially averaged) precipitation over a catchment is estimated from discrete rain gauge point measurements using methods such as the arithmetic mean, the Thiessen polygon method (area-weighting by proximity), and the isohyetal method (interpolation of equal-precipitation contour lines), with accuracy depending on gauge network density and spatial distribution. Related hydrological techniques include estimating missing gauge records from neighboring stations' normal-ratio relationships, verifying record consistency via double-mass curve analysis, and frequency analysis of extreme precipitation (plotting position, return period, and intensity-duration-frequency relationships) to extrapolate rainfall magnitudes beyond the observed record length. This is core subject matter in hydrology, specifically the study of precipitation measurement, network design, and statistical analysis within the broader discipline of water resources engineering.
Estimating Areal Precipitation from Rain Gauge Data in Hydrology
Areal (spatially averaged) precipitation over a catchment is estimated from discrete rain gauge point measurements using methods such as the arithmetic mean, the Thiessen polygon method (area-weighti…