Articles | Volume 24, issue 8
https://doi.org/10.5194/hess-24-4109-2020
https://doi.org/10.5194/hess-24-4109-2020
Research article
 | 
21 Aug 2020
Research article |  | 21 Aug 2020

Estimation of annual runoff by exploiting long-term spatial patterns and short records within a geostatistical framework

Thea Roksvåg, Ingelin Steinsland, and Kolbjørn Engeland

Model code and software

Code for implementing the centroid model in R Thea Roksvåg https://doi.org/10.5281/zenodo.3630348

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Short summary
Annual runoff is a measure of how much water flows through a river during a year and is an important quantity, e.g. when planning infrastructure. In this paper, we suggest a new statistical model for annual runoff estimation. The model exploits correlation between rivers and is able to detect whether the annual runoff in the target river follows repeated patterns over time relative to neighbouring rivers. In our work we show for what cases the latter represents a benefit over comparable methods.