2000
DOI: 10.1080/07055900.2000.9649645
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Comparing the performance of the Canadian land surface scheme @class) for two subarctic terrain types

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Cited by 21 publications
(13 citation statements)
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“…Soil temperature was overestimated in the summer period, but simulated values agreed fairly well with observations for the remainder of the year. Difficulty in simulating soil surface temperature, particularly in forest ecosystems, is a problem common to many land surface models (e.g., Chen et al, 1997;Bellisario et al, 2000). One possible explanation here is that the net radiation simulated at the soil surface was too high due to a slight underestimation of radiation absorbed within the canopy.…”
Section: Results a Comparison Of Observed And Simulated Datamentioning
confidence: 75%
“…Soil temperature was overestimated in the summer period, but simulated values agreed fairly well with observations for the remainder of the year. Difficulty in simulating soil surface temperature, particularly in forest ecosystems, is a problem common to many land surface models (e.g., Chen et al, 1997;Bellisario et al, 2000). One possible explanation here is that the net radiation simulated at the soil surface was too high due to a slight underestimation of radiation absorbed within the canopy.…”
Section: Results a Comparison Of Observed And Simulated Datamentioning
confidence: 75%
“…For instance, inclusion of the OSL in the model led to appreciable improvements in simulated soil heat flux and surface temperature, providing an additional explanation for why existing land surface models tend to overestimate soil "skin" temperature and downward soil heat flux. Betts et al [1993] and Chen et al [1997] related this problem to the numerical algorithms adopted to solve the surface energy balance (see also Beljaars [1991] for numerical details). Results for soil temperature at the NOBS site also showed that the inclusion of a surface organic layer delays the start of thawing, which in turn affects soil moisture availability, although it is clear that with increasing depth, the simulation of this delay is much less satisfactory (see Figure 12d).…”
Section: Nobs Sitementioning
confidence: 99%
“…For all the simulations reported here, vegetation was treated as "static" in the IBIS vegetation dynamics module; i.e., no change in stand structure was assumed to occur during the periods for which simulations were performed. Figure 1 provides a schematic description of the LSX land surface scheme as coupled with the photosynthetic model of Collatz et al [1991] For each hourly time step, IBIS simulated the energy and C balances using the following forcing variables: air temperature, hourly total precipitation, wind speed, humidity, incoming short-wave and long-wave radiation, and surface air pressure. Incoming long-wave radiation, whenever missing, was estimated using the formula of Satterlund [1979].…”
Section: Model Descriptionmentioning
confidence: 99%
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“…The ability of CLASS to simulate summer energy balance has been confirmed for various types of terrain (Bartlett et al 2002;Bellisario et al 2000;Comer et al 2000;Lafleur et al 2000). For example, for a boreal forest in north-central Manitoba, Bartlett et al (2002) showed that CLASS V2.6.…”
Section: Land Surface Model: Class V36mentioning
confidence: 88%