Snow cornice and snow avalanche monitoring using automatic time lapse cameras in Tasiapik Valley, Nunavik (Québec) during the winter of 2017–2018

Analysis of the snow-atmosphere energy balance during wet-snow instabilities and implications for avalanche prediction

Wet-snow avalanches are notoriously difficult to predict; their formation mechanism is poorly understood since in situ measurements representing the thermal and mechanical evolution are difficult to perform. Instead, air temperature is commonly used as a predictor variable for days with high wet-snow avalanche danger – often with limited success. As melt water is a major driver of wet-snow inst...

The Preliminary Analysis of Snow Monitoring Using Amsr-e and Winter Snow Campaign over Tibet Platean, China

Yubao Qiu, Huadong Guo, Jiancheng Shi, Shichang Kang, James R. Wang, Juha Lemmetyinen, Lingmei Jiang 1) Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100190, China (e-mail [email protected]) 2) Institute for Computational Earth System Science, University of California, Santa Barbara, CA 93106-3060, USA 3) Institute of Tibetan Plateau Research, Chinese Acad...

Snow Monitoring Using Microwave Radars

Determining the Snow Coefficient in order to simulate the snow melting in the Shemshak Watershed Using the WetSpa Model

In mountainous regions, snow forms a part of the precipitation. Therefore, snow melting is an important process in hydrology and hydraulic in these areas that its role should be considered independently in runoff generation. The Shemshak watershed basin located in Tehran province was selected as the study area of this research to examine the efficiency of the WetSpa hydrologic model to simulate...

Spatio-temporal Snow Depth Estimates from Time-lapse Photography

Applications using data collected with time-lapse photography provide estimates of snow glide intensities or the spatio-temporal extent of the snow cover. This is established by projecting the image onto a digital elevation model or counting the amount of dark pixels. In this study we identified the point of the shadow created by a mountain peak in an image and calculated the elevation of that ...