Determining surface precipitation phase is required to properly correct precipitation gage data for wind effects, to determine the hydrologic response to a precipitation event, and for hydrologic modeling when rain will be treated differently from snow. In this paper we present a comparison of several methods for determining precipitation phase using 12 years of hourly precipitation, weather an...

1 School of Electrical and Computer Engineering, Kanazawa University Kakuma, Kanazawa 920-1192, Japan ( † Tel: +81-76-234-4890; † E-mail: [email protected]) 2 Toyama National College of Technology Hongo, Toyama 939-8630, Japan 3 Hydrospheric Atmospheric Research Center, Nagoya University Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan 4 Institute of Low Temperature Science, Hokkaido Univ...

Difficulties in obtaining accurate precipitation measurements have limited meaningful hydrologic assessment for over a century due to performance challenges of conventional snowfall and rainfall gauges in windy environments. Here, we compare snowfall observations and bias adjusted snowfall to end-of-winter snow accumulation measurements on the ground for 16 years (1999-2014) and assess the impl...

The National Weather Service’s Snow Data Assimilation (SNODAS) program provides daily, gridded estimates of snow depth, snow water equivalent (SWE), and related snow parameters at a 1-km resolution for the conterminous USA. In this study, SNODAS snow depth and SWE estimates were compared with independent, ground-based snow survey data in the Colorado Rocky Mountains to assess SNODAS accuracy at...

This study reports on a blending approach using snowpack measurements from wireless-sensor network, gauge precipitation, and atmospheric-moisture data to estimate mountain precipitation amount phase. We applied the in California's American River basin, dense network consisting of over 130 sensor nodes distributed across upper, more snow-dominated part basin (≥1,500 m elevation). Analysis 60 eve...

A soil-vegetation-atmosphere transfer model coupled with a macroscale distributed hydrological model was used to simulate the water cycle for a large region in Bulgaria. To do so, an atmospheric forcing was built for two hydrological years (1 October 1995 to 30 September 1997), at an eight km resolution. The impact of the human activities on the rivers (especially hydropower or irrigation) was ...

The catchment of the river Inn is located in the Swiss and Austrian Alps. In the frame of the flood forecasting system “HoPI” (Hochwasserprognose für den Tiroler Inn), the Austrian part of the river Inn and its tributaries are covered within a hybrid numerical model. The runoff from the glacierized headwaters of the south-western Inn tributaries is calculated using the Snowand Icemelt Model “SE...