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IDENTIFYING AND MAPPING SYSTEMATIC ERRORS IN PASSIVE MICROWAVE SNOW WATER EQUIVALENT OBSERVATIONS
passive microwave snowpack snow crystals
2015/6/1
Understanding remote sensing retrieval errors is important for correct interpretation of observations, and successful
assimilation of observations into numerical models. Passive microwave sensors on...
This paper presents a package of modified
temperature-index-based snow water equivalent models as
part of the hydrological modeling system NewAge-JGrass.
Remote Sensing, Model-Derived and Ground Measurements of Snow Water Equivalent and Snow Density in Alaska
AMSR-E GlobSnow GIPL Model Ground Measurements
2013/3/11
Snow water equivalent (SWE) is important for investigations of annual to decadal-scale changes in Arctic environment and energy-water cycles. Passive microwave satellite-based retrieval algorithm esti...
Multi-Satellite and Sensor Derived Trends and Variation of Snow Water Equivalent on the High-Latitudes of the Northern Hemisphere
Arctic Snow Water Equivalent Multi-Satellite Microwave Trends and Variations
2013/3/7
Utilizing more than 30 years of satellite-microwave sensor derived snow water equivalent data on the high-latitudes of the northern hemisphere we investigate regional trends and variations relative to...
Snow depth and snow water equivalent estimation from AMSR-E data based on a priorisnow characteristics in Xinjiang, China
Snow depth Snow water equivalent Passive microwave Look-up table
2013/9/2
Static snow depth retrieval algorithms tend to underestimate the snow depth at the beginning of the snow season and overestimate the snow depth at the end of the snow season because the snow character...
Estimation of snow depth and snow water equivalent distribution using airborne microwave radiometry in the Binggou Watershed, the upper reaches of the Heihe River basin
Passive microwave Airborne remote sensing Snow depth Snow water equivalent Cold region
2013/9/2
We estimated the spatial distribution of snow depth/snow water equivalent (SD/SWE) in a mountainous watershed (Binggou, which is in the upper reaches of the Heihe River basin)...
SNOW-WATER EQUIVALENT MEASUREMENT USING NATURAL GAMMA EMISSION
SNOW-WATER EQUIVALENT MEASUREMENT NATURAL GAMMA EMISSION
2009/10/29
The natural gamma radiation emitted by potassium, uranium and thorium
is attcnuated by snow. This attenuation depends on the water-equivalent
of the snow layer. Air absorption coefficients were dete...
Estimating the Variance of Airborne Snow Water Equivalent Estimates Using Computer Simulation Techniques
Airborne Snow Water Equivalent Estimates Simulation Techniques
2009/10/27
Estimates of snow water equivalent derived from measurements of the attenuation
of terrestrial gamma radiation vary as a function of several known sources
of error. In this study, a computer simulat...
A Neural Network Approach to Inversion of Snow Water Equivalent from Passive Microwave Measurements
Neural Network Approach Snow Water Equivalent Passive Microwave Measurements
2009/10/26
The inversion of snow water equivalent, SWE, from passive microwave remote
sensing measurements may be accomplished by using a neural network trained
with a dense media multiple scattering model. Br...
Estimating the Uncertainty in Spatial Estimates of Areal Snow Water Equivalent
Uncertainty Spatial Estimates Areal Snow Water Equivalent
2009/10/23
With the increased demand for water in the United States, particularly in the
West, it is essential that water resources be accurately monitored. Consequently,
the National Weather Servicc (NWS) mai...
A Proposed Method to Improve Springtime Areal Snow Water Equivalent Maps by Using Satellite Imagery
Method SpringtimeSnow Water Equivalent Maps Satellite Imagery
2009/6/15
A Proposed Method to Improve Springtime Areal Snow Water Equivalent Maps by Using Satellite Imagery.
Modelling the spatial variability of snow water equivalent at the catchment scale
snow water equivalent catchment scale
2009/5/13
The spatial distribution of snow water equivalent (SWE) is modelled as a two parameter gamma distribution. The parameters of the distribution are dynamical in that they are functions of the number of ...