2013
DOI: 10.1175/jhm-d-12-012.1
|View full text |Cite
|
Sign up to set email alerts
|

Simulation of Northern Eurasian Local Snow Depth, Mass, and Density Using a Detailed Snowpack Model and Meteorological Reanalyses

Abstract: The Crocus snowpack model within the Interactions between Soil-Biosphere-Atmosphere (ISBA) land surface model was run over northern Eurasia from 1979 to 1993, using forcing data extracted from hydrometeorological datasets and meteorological reanalyses. Simulated snow depth, snow water equivalent, and density over open fields were compared with local observations from over 1000 monitoring sites, available either once a day or three times per month. The best performance is obtained with European Centre for Mediu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

2
146
0
1

Year Published

2014
2014
2022
2022

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 139 publications
(149 citation statements)
references
References 57 publications
2
146
0
1
Order By: Relevance
“…The mean bias over the three days of simulation is 0.3 K, the root mean square deviation is 1.49 K. Given the potential errors of measuring temperature from IR emission, in part due to errors of snow emissivity (Bintanja and Vandenbroeke, 1995), this shows that Crocus provides a reasonable estimate of the snow surface temperature. A similar conclusion was reached by Brun et al (2011) andFreville et al (2014) Figure 3 presents the modeled vertical profiles of temperature for the upper layers of the snowpack for different times of the day for 18 and 19 January 2009. The evolution of the vertical profile is similar for both days with maximum surface temperature around noon.…”
Section: Simulated Surface Mass and Energy Balancesupporting
confidence: 83%
See 4 more Smart Citations
“…The mean bias over the three days of simulation is 0.3 K, the root mean square deviation is 1.49 K. Given the potential errors of measuring temperature from IR emission, in part due to errors of snow emissivity (Bintanja and Vandenbroeke, 1995), this shows that Crocus provides a reasonable estimate of the snow surface temperature. A similar conclusion was reached by Brun et al (2011) andFreville et al (2014) Figure 3 presents the modeled vertical profiles of temperature for the upper layers of the snowpack for different times of the day for 18 and 19 January 2009. The evolution of the vertical profile is similar for both days with maximum surface temperature around noon.…”
Section: Simulated Surface Mass and Energy Balancesupporting
confidence: 83%
“…The vertical resolution in the snow is not fixed since it corresponds to the layering of the snowpack controlled by the model (Vionnet et al, 2012). Despite these rather simplistic assumptions, as demonstrated in Brun et al (2011), Crocus allows a good simulation of the vertical sub-surface temperature profile at Dome C and surface temperature in Antarctica (Freville et al, 2014). Finally, Crocus takes as input the meteorological variables that constrain the surface mass and energy balance of the snowpack: air temperature, specific humidity, wind speed, shortwave and long-wave incoming radiation and precipitation amount and phase.…”
Section: Modelingmentioning
confidence: 99%
See 3 more Smart Citations