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To distinguish between rain and snow, the volume is com-
pared to the water equivalent but the volume of snow is ten times larger.
Figure 1. How PWD22 determines the type of precipitation.
Using the information about the changes of the backscatter signal, water equivalent and temper-
ature the Vaisala Present Weather Detector can give information about the type of precipitation.
It is also used
/media/vedurstofan-utgafa-2019/VI_2019_009.pdf
that, the detrended timeseries would have had a net difference of
zero if the negative values had not been set back to zero. This shows that over the 39 years of
data, there was a slight precipitation increase for this grid-point. This trend has been removed,
resulting in a detrended, almost flat dataset.
29
Figure 14. Regression lines for hourly precipitation timeseries of grid-point [100, 100]
from
/media/vedurstofan-utgafa-2022/VI_2022_006_extreme.pdf
grundvelli myndatöku með
flygildum og leysimælitæki (TLS) hefur verið notað við kortlagningu
flóðfara og við mat á útbreiðslu og umfangi hlaupa.
Þétt net jarðskjálftamæla, sem staðsettir eru á jökulskerjum eða
grafnir í jökul, hefur gefið góða raun við ákvörðun á dýpi jarðskjálfta
undir jöklum. Kvikuhreyfingar hafa þannig verið kortlagðar og
myndun gosrása staðfest af meiri nákvæmni en áður. Þó
/media/vedurstofan/utgafa/arsskyrslur/VI_Arsskyrsla_2018_vef.pdf
systematically underestimated. The bias is not as pronounced for the non glacial rivers. Com-
bining synoptic-scale and basin-scale predictors (method 3) leads to a substantial improvement
compared to the use of MSLP fields alone (method 1). Analogue forecasts become similar or
better than persistence, depending on catchment and lead time. Usually, persistence performs
better for T=1 day and then method 3
/media/vedurstofan/utgafa/skyrslur/2013/VI_2013_008.pdf