Snow water equivalent retrieval in a Canadian boreal environment from microwave measurements using the HUT snow emission model

2004 ◽  
Vol 42 (9) ◽  
pp. 1850-1859 ◽  
Author(s):  
V. Roy ◽  
K. Goita ◽  
A. Royer ◽  
A.E. Walker ◽  
B.E. Goodison
2013 ◽  
Vol 136 ◽  
pp. 163-179 ◽  
Author(s):  
Benjamin J. Vander Jagt ◽  
Michael T. Durand ◽  
Steven A. Margulis ◽  
Edward J. Kim ◽  
Noah P. Molotch

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Kari Luojus ◽  
Jouni Pulliainen ◽  
Matias Takala ◽  
Juha Lemmetyinen ◽  
Colleen Mortimer ◽  
...  

AbstractWe describe the Northern Hemisphere terrestrial snow water equivalent (SWE) time series covering 1979–2018, containing daily, monthly and monthly bias-corrected SWE estimates. The GlobSnow v3.0 SWE dataset combines satellite-based passive microwave radiometer data (Nimbus-7 SMMR, DMSP SSM/I and DMSP SSMIS) with ground based synoptic snow depth observations using bayesian data assimilation, incorporating the HUT Snow Emission model. The original GlobSnow SWE retrieval methodology has been further developed and is presented in its current form in this publication. The described GlobSnow v3.0 monthly bias-corrected dataset was applied to provide continental scale estimates on the annual maximum snow mass and its trend during the period 1980 to 2018.


1981 ◽  
Vol 12 (3) ◽  
pp. 143-166 ◽  
Author(s):  
W.H. Stiles ◽  
F.T. Ulaby ◽  
A. Rango

Prior microwave measurements of snow water equivalent and liquid water content and conceptualizations of emission and backscattering models are reviewed. The results of an experiment designed to collect simultaneous passive and active microwave data to be used in interpreting and analyzing the sensitivity of the microwave spectrum to changing snowpack properties are reported. Both the scattering coefficient, σ°, and the apparent radiometric temperature, Tap, were found to be sensitive to changes in snow water equivalent and liquid water content. The σ° data exhibit an exponential-like increase with increasing water equivalent, whereas, the Tap data exhibit an exponential-like decrease. For both the active and passive data, the snow water equivalent at which the microwave response begins to saturate decreases as the wavelength decreases. Increasing liquid water in the snowpack causes a decrease in σ° and an increase in the Tap. Diurnal data sets show the greatest σ° and Tap variation in response to snowmelt at 35 and 37 GHz with correspondingly less variation at the lower frequencies. Based on research results to date, immediate formulation of a comprehensive microwave and snow research program is recommended.


2018 ◽  
Vol 10 (2) ◽  
pp. 170 ◽  
Author(s):  
Juha Lemmetyinen ◽  
Chris Derksen ◽  
Helmut Rott ◽  
Giovanni Macelloni ◽  
Josh King ◽  
...  

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