Next Article in Journal
An Overview of the Integrated Meteorological Observations in Complex Terrain Region at Dali National Climate Observatory, China
Previous Article in Journal
Smog Episodes in Poland
Open AccessArticle

Evaluation of the Soil, Vegetation, and Snow (SVS) Land Surface Model for the Simulation of Surface Energy Fluxes and Soil Moisture under Snow-Free Conditions

1
Department of Civil and Water Engineering, Université Laval, Québec, QC G1V 0A6, Canada
2
CentrEau-Water research center, Université Laval, Québec, QC G1V 0A6, Canada
3
Environment and Climate Change Canada, Environmental Numerical Prediction Research, Dorval, QC H9P1J3, Canada
*
Author to whom correspondence should be addressed.
Atmosphere 2020, 11(3), 278; https://doi.org/10.3390/atmos11030278
Received: 8 February 2020 / Revised: 7 March 2020 / Accepted: 9 March 2020 / Published: 12 March 2020
(This article belongs to the Section Biosphere/Hydrosphere/Land–Atmosphere Interactions)
The recently developed Soil, Vegetation, and Snow (SVS) land surface model is being progressively implemented at Environment and Climate Change Canada (ECCC) for operational numerical weather and hydrological predictions. The objective of this study is to evaluate the ability of SVS, in offline point-scale mode and under snow-free conditions, to simulate the surface heat fluxes and soil moisture when compared to flux tower observations and simulations from the Canadian Land Surface Scheme (CLASS), used here as a benchmark model. To do this, we performed point-scale simulations of between 4 and 12 years of data records at six selected sites of the FLUXNET network under arid, Mediterranean and tropical climates. At all sites, SVS shows realistic simulations of latent heat flux, sensible heat flux and net radiation. Soil heat flux is reasonably well simulated for the arid sites and one Mediterranean site and poorly simulated for the tropical sites. On the other hand, surface soil moisture was reasonably well simulated at the arid and Mediterranean sites and poorly simulated at the tropical sites. SVS performance was comparable to CLASS not only for energy fluxes and soil moisture, but also for more specific processes such as evapotranspiration and water balance. View Full-Text
Keywords: land surface modeling; surface energy balance; soil moisture; FLUXNET network land surface modeling; surface energy balance; soil moisture; FLUXNET network
Show Figures

Figure 1

MDPI and ACS Style

Leonardini, G.; Anctil, F.; Abrahamowicz, M.; Gaborit, É.; Vionnet, V.; Nadeau, D.F.; Fortin, V. Evaluation of the Soil, Vegetation, and Snow (SVS) Land Surface Model for the Simulation of Surface Energy Fluxes and Soil Moisture under Snow-Free Conditions. Atmosphere 2020, 11, 278.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop