Data/hora: 09/06/2024 10:41:41

Provedor de dados: 	Bragantia	
País: 	Brazil	
Título: 	On the performance of three indices of agreement: an easy-to-use r-code for calculating the Willmott indices	
Autores: 	Pereira,Heloisa Ramos; Meschiatti,Monica Cristina; Pires,Regina Célia de Matos; Blain,Gabriel Constantino.	
Data: 	2018-06-01	
Ano: 	2018	
Palavras-chave: 	Modified index of agreement; Refined index of agreement; Model performance.	
Resumo: 	ABSTRACT A key step for any modeling study is to compare model-produced estimates with observed/reliable data. The original index of agreement (also known as original Willmott index) has been widely used to measure how well model-produced estimates simulate observed data. However, in its original version such index may lead the user to erroneously select a predicting model. Therefore, this study compared the sensibility of the original index of agreement with its two newer versions (modified and refined) and provided an easy-to-use R-code capable of calculating these three indices. First, the sensibility of the indices was evaluated through Monte Carlo Experiments. These controlled simulations considered different sorts of errors (systematic, random and systematic + random) and errors magnitude. By using the R-code, we also carried out a case of study in which the indices are expected to indicate that th empirical Thornthwaite’s model produces poor estimates of daily reference evapotranspiration in respect to the standard method Penman-Monteith (FAO56). Our findings indicate that the original index of agreement may indeed erroneously select a predicting model performing poorly. Our results also indicate that the newer versions of this index overcome such problem, producing more rigorous evaluations. Although the refined Willmott index presents the broadest range of possible values, it does not inform the user if a predicting model overestimate or underestimate the simulated data, resulting in no extra information regarding those already provided by the modified version. None of the indices represents the error as linear functions of its magnitude in respect to the observed process.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052018000200394	
Editor: 	Instituto Agronômico de Campinas	
Relação: 	10.1590/1678-4499.2017054	
Formato: 	text/html	
Fonte: 	Bragantia  v.77 n.2 2018	
Fonte: 	info:eu-repo/semantics/openAccess