From snow pits to the SnowMicroPen

Advanced methods like the Warren-Averbach analysis [2] allow the determination of a volume and an area averaged mean grain size and so enable to calculate the width of the

Therefore, sophisticated city definitions have been developed (such as the United States (US) economic areas defined by using the city clustering algorithm by Rozenfeld et al.,

The focus of this poster is on the variation of 18-O data during the past 2 kyrs, measur- ed on 5 ice cores (B32, B34, B37, EDML, B33) (Fig.1) and 20 snow

From left to right, 100 days of an ultrasonic sounder time series from the automatic weather station AWS9 (height above surface) [van den Broeke et al., 2004b] at site DML05, near

However, it is rather difficult to distinguish which of the physical and biological factors, and in which region, contributes more to the spatial vary- ability of

The backscattering properties from the two satellite borne scatterometers NSCAT (NASA) and Escat (ESA) as well as SAR (Synthetic Aperture Radar) images with

Within this survey, four intermediate-depth ice cores and 13 snow pits were analyzed for their ionic compos- ition and interpreted with respect to the spatial and temporal

At Dome C (Fig. 4) the sizes obtained from isooctane samples (technique 1) and from digital images (technique 3) acquired 2 years later are very similar.This demonstrates (1) that