Time series homogenization for 299 of the available precipitation records for the island of Ireland (IENet) was performed. Four modern relative homogenization methods, that is, HOMER, ACMANT, CLIMATOL and AHOPS were applied to this network of station series where contiguous intact monthly records range from 30 to 70 years within the base period 1941–2010. Break detection results are compared between homogenization methods, and coincidences with available documentary information (metadata) were analysed. The lowest (highest) number of breaks were detected with HOMER (ACMANT). Large differences of break frequency were found, namely ACMANT and AHOPS detected 8 times as many breaks than HOMER, while the break frequency with CLIMATOL was interme...
The development of Adapted Caussinus–Mestre Algorithm for homogenising Networks of Temperature serie...
A dense monthly precipitation dataset of Ireland and Northern Ireland was homogenized with several m...
Climate change studies based only on raw long-term data are potentially flawed due to the many break...
Time series homogenization for 299 of the available precipitation records for the island of Ireland ...
Time series homogenization for 299 of the available precipitation records for the island of Ireland ...
Time series homogenization for 299 of the available precipitation records for the island of Ireland ...
Time series homogenization for 299 of the available precipitation records for the island of Ireland ...
Time series homogenization for 299 of the available precipitation records for the island of Ireland ...
Time series homogenization for 299 of the available precipitation records for the island of Ireland ...
Time series homogenization for 299 of the available precipitation records for the island of Ireland ...
Time series homogenization for 299 of the available precipitation records for the island of Ireland ...
Time series homogenization for 299 of the available precipitation records for the island of Ireland ...
Climate change studies based only on raw long-term data are potentially flawed due to the many break...
A dense monthly precipitation dataset of Ireland and Northern Ireland was homogenized with several m...
Long-term precipitation series are critical for understanding emerging changes to the hydrological c...
The development of Adapted Caussinus–Mestre Algorithm for homogenising Networks of Temperature serie...
A dense monthly precipitation dataset of Ireland and Northern Ireland was homogenized with several m...
Climate change studies based only on raw long-term data are potentially flawed due to the many break...
Time series homogenization for 299 of the available precipitation records for the island of Ireland ...
Time series homogenization for 299 of the available precipitation records for the island of Ireland ...
Time series homogenization for 299 of the available precipitation records for the island of Ireland ...
Time series homogenization for 299 of the available precipitation records for the island of Ireland ...
Time series homogenization for 299 of the available precipitation records for the island of Ireland ...
Time series homogenization for 299 of the available precipitation records for the island of Ireland ...
Time series homogenization for 299 of the available precipitation records for the island of Ireland ...
Time series homogenization for 299 of the available precipitation records for the island of Ireland ...
Time series homogenization for 299 of the available precipitation records for the island of Ireland ...
Climate change studies based only on raw long-term data are potentially flawed due to the many break...
A dense monthly precipitation dataset of Ireland and Northern Ireland was homogenized with several m...
Long-term precipitation series are critical for understanding emerging changes to the hydrological c...
The development of Adapted Caussinus–Mestre Algorithm for homogenising Networks of Temperature serie...
A dense monthly precipitation dataset of Ireland and Northern Ireland was homogenized with several m...
Climate change studies based only on raw long-term data are potentially flawed due to the many break...