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Homogenization software

Acmantv5.3

Making climate trend assessments more reliable

 

Meteorological instruments and other technical conditions of climate observations sometimes have changed during the long history of climate observations. The correct calculation of observed climatic trends needs the removal of the technical change effects from the climate records by time series homogenization. The use of professionally homogenized observed data improves our understandings about the past, present and future climates.  

The development of ACMANT method started around 2010. Its version 4 (https://github.com/dpeterfree/ACMANT/tree/ACMANTv4.4) was published first in late 2018. According to method intercomparison tests of international scientific projects, the homogenization with ACMANT produces equal or more highly accurate data than any other homogenization method, with very few exceptions.

ACMANT is a relative homogenization method, i.e. it is based on the temporal-spatial comparison of observed data. The default operation mode of ACMANT is automatic. Temperature, precipitation total, air humidity, sunshine duration, radiation, wind speed and atmospheric pressure can be homogenized with ACMANT. For the homogenization of other climatic elements you may consult the developer. Monthly or daily time series can be homogenized with ACMANT.

Professional version ACMANTv5.3 has been released and the licence can be purchased from the developer. ACMANTv5 is improved in comparison with earlier versions both in homogenization accuracy and user friendliness. Users may use documental information (metadata) within the automatic ACMANT procedure, or may opt for interactive ACMANT homogenization either with or without metadata use. With the development of subversions 5.1, 5.2 and 5.3, the usability of short series and series with fragmented data have been improved further, and theuser interface has been refined. See more in pages Products and Scientific literature.

Acknowledgements: The development of ACMANTv5.3 was partly funded by the Catalan Meteorological Service.