 |
| Titel |
Analysis of erythemally effective UV radiation at the Mendel Station, James Ross Island in the period of 2006-2007 |
| VerfasserIn |
K. Laska, P. Prosek, L. Budik, M. Budikova |
| Konferenz |
EGU General Assembly 2009
|
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 11 (2009) |
| Datensatznummer |
250022261
|
|
|
|
|
|
| Zusammenfassung |
| The results of global solar and erythemally effective ultraviolet (EUV)
radiation measurements are presented. The radiation data were collected
within the period of 2006-2007 at the Czech Antarctic station J. G. Mendel,
James Ross Island (63°48'S, 57°53'W). Global solar radiation was measured by
a Kipp&Zonen CM11 pyranometer. EUV radiation was measured according to the
McKinley and Diffey Erythemal Action Spectrum with a Solar Light broadband
UV-Biometer Model 501A. The effects of stratospheric ozone concentration and
cloudiness (estimated as cloud impact factor from global solar radiation) on
the intensity of incident EUV radiation were calculated by a non-linear
regression model. The total ozone content (TOC) and cloud/surface
reflectivity derived from satellite-based measurements were applied into the
model for elimination of the uncertainties in measured ozone values. There
were two input data of TOC used in the model. The first were taken from the
Dobson spectrophotometer measurements (Argentinean Antarctic station
Marambio), the second was acquired for geographical coordinates of the
Mendel Station from the EOS Aura Ozone Monitoring Instrument and V8.5
algorithm. Analysis of measured EUV data showed that variable cloudiness
affected rather short-term fluctuations of the radiation fluxes, while ozone
declines caused long-term UV radiation increase in the second half of the
year. The model predicted about 98 % variability of the measured EUV
radiation. The residuals between measured and modeled EUV radiation
intensities were evaluated separately for the above-specified two TOC
datasets, parts of seasons and cloud impact factor (cloudiness). The mean
average prediction error was used for model validation according to the
cloud impact factor and satellite-based reflectivity data. |
|
|
|
|
|
|