Comparison of HOMER and ACMANT homogenization methods using a central Pyrenees temperature dataset

被引：12

作者：

Perez-Zanon, N. ^{[1
]}

Sigro, J. ^{[1
]}

Domonkos, P. ^{[1
]}

Ashcroft, L. ^{[1
]}

机构：

[1] Univ Rovira & Virgili, Ctr Climate Change C3, Campus Terres Ebre, Tortosa, Spain

来源：

ADVANCES IN SCIENCE AND RESEARCH | 2015年 / 12卷

关键词：

CLIMATE-CHANGE; SPATIAL VARIABILITY; BENCHMARKING;

D O I：

10.5194/asr-12-111-2015

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The aim of this research is to compare the results of two modern multiple break point homogenization methods, namely ACMANT and HOMER, over a Pyrenees temperature dataset in order to detect differences between their outputs which can affect future studies. Both methods are applied to a dataset of 44 monthly maximum and minimum temperature series placed around central Pyrenees and covering the 1910-2013 period. The results indicate that the automatic method ACMANT produces credible results. While HOMER detects more breaks supported by metadata, this method is also more dependent on the user skill and thus sensitive to subjective errors.

引用

页码：111 / 119

页数：9

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