estimating snow melt water equivalent is one of the most important challenges in determining the hydrological regime in mountainous basins. there are some problematic obstacles in field observations, due to inaccessibility as well due to difficulties in snow sampling at snow covered peaks making researchers try to find indirect approaches. one of these methods in use is degree- day model that i...

Accurate mapping of snow cover continues to challenge cryospheric scientists and modelers. The Moderate-Resolution Imaging Spectroradiometer (MODIS) snow data products have been used since 2000 by many investigators to map and monitor snow cover extent for various applications. Users have reported on the utility of the products and also on problems encountered. Three problems or hindrances in t...

Snow is important for water management, and an important component of the terrestrial biosphere and climate system. In this study, the snow models included in the Biome-BGC and Terrestrial Observation and Prediction System (TOPS) terrestrial biosphere models are compared against ground and satellite observations over the Columbia River Basin in the US and Canada and the impacts of differences i...

LIMITED EXTRAPOLATION: If we possess the evidence that it has snows in Moscow every year for at least one thousand consecutive years, and if we possess no contrary evidence suggesting a change in the Russian climate, and if, as a matter of fact, it Snows in Moscow the next year not belonging to this set, then we are in a position to know that it snows in Moscow the next year. That is, if, on th...

Snow density is a fundamental physical property of snowpacks used in many aspects of snow research. As an integral component in the remote sensing of snow water equivalent and parameterisation of snow models, snow density may be used to describe many important features of snowpack behaviour. The present study draws on a significant dataset of snow density and climate observations from the Unite...

Snowpack evolution and glacier ice surface temperatures were studied on the Indren glacier (Northwestern Alps, Italy) under different meteorological conditions: in winter 2002–2003, rich in snow from the beginning of the season, and in winter 2005– 2006, poor in snow until February. Periodical snow profiles were made to measure the physical properties of snow, while data loggers measured the sn...

Snow on Antarctic sea ice plays a key role for sea ice physical processes and complicates retrieval of sea ice thickness using altimetry. Current methods of snow depth retrieval are based on satellite microwave radiometry, which perform best for dry, homogeneous snow packs on level sea ice. We introduce an alternative approach based on in-situ measurements of total (sea ice plus snow) freeboard...

[1] ‏ahmad, s. and simonovic, s.p. (2005). an artificial neural network model for generating hydrograph from hydrometeorological parameters, j. hydrol, 315, 236-251. [2] agarwal, a., mishra, s.k., ram, s. and singh, j.k. (2006). simulation of runoff and sediment yield using artificial neural networks, biosys. eng, 94(4), 597-613. [3] amini, m., abbaspour, k.c., khademi, h., fathianpour, n., afy...

High-resolution snow distributions are essential for studying cold regions. However, the temporal and spatial resolutions of current remote sensing snow maps remain limited. Remotely sensed snow cover fraction (SCF) data only provide quantitative descriptions of snow area proportions and do not provide information on subgrid-scale snow locations. We present a downscaling method based on simulat...