FMI

Deliverable 2.1 [Data Analysis]
An evaluation of the impact of atmospheric variability on the detection of trends in UV
FMI have investigated the influence of short- and long-term changes in ozone, surface albedo and cloudiness on the variability of surface UV irradiance. They present a method for determining the influence of a single factor (such as ozone column depth). The analysis uses spectral irradiance data from measurement sites in Greece and Finland, where each data set spans more than a decade. Over the 11-year period, FMI find evidence for a long-term increase in surface UV irradiance at both sites. In Finland, the cause appears to be due to change in ozone values, while in Greece the main influencing factor is cloudiness. The full FMI report can be downloaded as a postscript (302 kB) and as a PDF (206 kB) document. The postscript document views better on-screen.

Deliverable 2.1 [Data Analysis]

An evaluation of the impact of atmospheric variability on the detection of trends in UV

FMI have investigated the influence of short- and long-term changes in ozone, surface albedo and cloudiness on the variability of surface UV irradiance. They present a method for determining the influence of a single factor (such as ozone column depth).

The analysis uses spectral irradiance data from measurement sites in Greece and Finland, where each data set spans more than a decade.

Over the 11-year period, FMI find evidence for a long-term increase in surface UV irradiance at both sites. In Finland, the cause appears to be due to change in ozone values, while in Greece the main influencing factor is cloudiness.

The full FMI report can be downloaded as a postscript (302 kB) and as a PDF (206 kB) document. The postscript document views better on-screen.