Usefulness of metadata in the automatic version of ACMANTv5 was tested. A benchmark database has been developed, which consists of 41 datasets of 20,500 networks of 170,000 synthetic monthly temperature time series and the relating metadata dates. The research was supported by the Catalan Meteorological Service. The research results will be published in the open access MDPI journal Atmosphere. See more in the "Readme.txt" file of the dataset
A database of monthly climate observations from meteorological stations is constructed. The database...
A global typical meteorological year (TMY) database covers 38,947 stations worldwide. Each typical m...
There is a growing need for past weather and climate data to support science and decision-making. Th...
One of the critical problems in the curation of research data is the harmonization of its internal m...
The development of Adapted Caussinus–Mestre Algorithm for homogenising Networks of Temperature serie...
The homogenization of climate observational series is a needed process before undertaking confidentl...
Technical ReportThe raw data that is fed to NASA in order to develop the global temperature series i...
The widely used Global Historical Climatology Network (GHCN) monthly temperature dataset is availabl...
The widely used Global Historical Climatology Network (GHCN) monthly temperature dataset is availabl...
The aim of time series homogenization is to remove nonclimatic effects, such as changes in station l...
Ribeiro, S., Caineta, J., & Costa, A. C. (2016). Review and discussion of homogenisation methods for...
Errors are inherent in all measurement activity, and meteorology is no exception. Homogenization of ...
International audienceThe results of climate models are of increasing and widespread importance. No ...
A database of monthly climate observations from meteorological stations is constructed. The database...
A global typical meteorological year (TMY) database covers 38,947 stations worldwide. Each typical m...
There is a growing need for past weather and climate data to support science and decision-making. Th...
One of the critical problems in the curation of research data is the harmonization of its internal m...
The development of Adapted Caussinus–Mestre Algorithm for homogenising Networks of Temperature serie...
The homogenization of climate observational series is a needed process before undertaking confidentl...
Technical ReportThe raw data that is fed to NASA in order to develop the global temperature series i...
The widely used Global Historical Climatology Network (GHCN) monthly temperature dataset is availabl...
The widely used Global Historical Climatology Network (GHCN) monthly temperature dataset is availabl...
The aim of time series homogenization is to remove nonclimatic effects, such as changes in station l...
Ribeiro, S., Caineta, J., & Costa, A. C. (2016). Review and discussion of homogenisation methods for...
Errors are inherent in all measurement activity, and meteorology is no exception. Homogenization of ...
International audienceThe results of climate models are of increasing and widespread importance. No ...
A database of monthly climate observations from meteorological stations is constructed. The database...
A global typical meteorological year (TMY) database covers 38,947 stations worldwide. Each typical m...
There is a growing need for past weather and climate data to support science and decision-making. Th...