Redirigiendo al acceso original de articulo en 19 segundos...
Inicio  /  Hydrology  /  Vol: 11 Par: 2 (2024)  /  Artículo
ARTÍCULO
TITULO

Ratingcurve: A Python Package for Fitting Streamflow Rating Curves

Timothy O. Hodson    
Keith J. Doore    
Terry A. Kenney    
Thomas M. Over and Muluken B. Yeheyis    

Resumen

Streamflow is one of the most important variables in hydrology, but it is difficult to measure continuously. As a result, nearly all streamflow time series are estimated from rating curves that define a mathematical relationship between streamflow and some easy-to-measure proxy like water surface elevation (stage). Despite the existence of automated methods, most rating curves are still fit manually, which can be time-consuming and subjective. Although several automated methods exist, they vary greatly in performance because of the non-convex nature of the problem. In this work, we develop a parameterization of the segmented power law that works reliably with minimal data, which could serve operationally or as a benchmark for evaluating other methods. The model, along with test data and tutorials, is available as an open-source Python package called ratingcurve. The implementation uses a modern probabilistic machine-learning framework, which is relatively easy to modify so that others can improve upon it.

 Artículos similares

       
 
Wade Roberts, Gustavious P. Williams, Elise Jackson, E. James Nelson and Daniel P. Ames    
Hydrologists use a number of tools to compare model results to observed flows. These include tools to pre-process the data, data frames to store and access data, visualization and plotting routines, error metrics for single realizations, and ensemble met... ver más
Revista: Hydrology