Abstract:Evaporation from heterogeneous and sparse canopies is often represented by multi-source models that take the form of electrical analogues based upon resistance networks. The chosen representation de facto imposes a specific form on the composition of elementary fluxes and resistances. The two-and three-source representations are discussed in relation to previous work where some ambiguities arise. Using the two-layer model (Shuttleworth and Wallace, Q J R Meteorol Soc 111: [839][840][841][842][843][844][845][84… Show more
“…1). This corresponds to (respectively) the "layer" and "patch" approaches described in Lhomme et al (2012). However, the interpretation of the situations for which one or the other approach is valid differs between TSEB and Lhomme et al (2012).…”
Section: Sparse System Of Equationsmentioning
confidence: 99%
“…This corresponds to (respectively) the "layer" and "patch" approaches described in Lhomme et al (2012). However, the interpretation of the situations for which one or the other approach is valid differs between TSEB and Lhomme et al (2012). In TSEB, both soil and vegetation patches share a common surface boundary layer (and therefore the same aerodynamic resistance from the aerodynamic level to the reference level), but the patch representation allows definition of different aerodynamic temperatures at the aerodynamic level over the soil and the vegetation.…”
Section: Sparse System Of Equationsmentioning
confidence: 99%
“…In TSEB, both soil and vegetation patches share a common surface boundary layer (and therefore the same aerodynamic resistance from the aerodynamic level to the reference level), but the patch representation allows definition of different aerodynamic temperatures at the aerodynamic level over the soil and the vegetation. As pointed out by Lhomme et al (2012), the patch representation should in theory only apply to patches large enough to develop different surface boundary layers, e.g. fallow fields amongst wetter and taller vegetated areas rather than bare soil patches even a few metres large.…”
Section: Sparse System Of Equationsmentioning
confidence: 99%
“…The original version of TSEB (Norman et al, 1995) provides two algorithms to describe the soil-vegetationatmosphere interactions, representing, respectively, the "patch" and "layer" approaches following the terminology proposed by Lhomme et al (2012). In the "layer" approach, one assumes that the air is well mixed within the canopy space so that air temperature at the aerodynamic level is rather homogeneous.…”
Abstract.Evapotranspiration is an important component of the water cycle, especially in semi-arid lands. A way to quantify the spatial distribution of evapotranspiration and water stress from remote-sensing data is to exploit the available surface temperature as a signature of the surface energy balance. Remotely sensed energy balance models enable one to estimate stress levels and, in turn, the water status of continental surfaces. Dual-source models are particularly useful since they allow derivation of a rough estimate of the water stress of the vegetation instead of that of a soil-vegetation composite. They either assume that the soil and the vegetation interact almost independently with the atmosphere (patch approach corresponding to a parallel resistance scheme) or are tightly coupled (layer approach corresponding to a series resistance scheme). The water status of both sources is solved simultaneously from a single surface temperature observation based on a realistic underlying assumption which states that, in most cases, the vegetation is unstressed, and that if the vegetation is stressed, evaporation is negligible. In the latter case, if the vegetation stress is not properly accounted for, the resulting evaporation will decrease to unrealistic levels (negative fluxes) in order to maintain the same total surface temperature. This work assesses the retrieval performances of total and component evapotranspiration as well as surface and plant water stress levels by (1) proposing a new dual-source model named Soil Plant Atmosphere and Remote Sensing Evapotranspiration (SPARSE) in two versions (parallel and series resistance networks) based on the TSEB (Two-Source Energy Balance model, Norman et al., 1995) model rationale as well as state-of-the-art formulations of turbulent and radiative exchange, (2) challenging the limits of the underlying hypothesis for those two versions through a synthetic retrieval test and (3) testing the water stress retrievals (vegetation water stress and moisture-limited soil evaporation) against in situ data over contrasted test sites (irrigated and rainfed wheat). We demonstrated with those two data sets that the SPARSE series model is more robust to component stress retrieval for this cover type, that its performance increases by using bounding relationships based on potential conditions (root mean square error lowered by up to 11 W m −2 from values of the order of 50-80 W m −2 ), and that soil evaporation retrieval is generally consistent with an independent estimate from observed soil moisture evolution.
“…1). This corresponds to (respectively) the "layer" and "patch" approaches described in Lhomme et al (2012). However, the interpretation of the situations for which one or the other approach is valid differs between TSEB and Lhomme et al (2012).…”
Section: Sparse System Of Equationsmentioning
confidence: 99%
“…This corresponds to (respectively) the "layer" and "patch" approaches described in Lhomme et al (2012). However, the interpretation of the situations for which one or the other approach is valid differs between TSEB and Lhomme et al (2012). In TSEB, both soil and vegetation patches share a common surface boundary layer (and therefore the same aerodynamic resistance from the aerodynamic level to the reference level), but the patch representation allows definition of different aerodynamic temperatures at the aerodynamic level over the soil and the vegetation.…”
Section: Sparse System Of Equationsmentioning
confidence: 99%
“…In TSEB, both soil and vegetation patches share a common surface boundary layer (and therefore the same aerodynamic resistance from the aerodynamic level to the reference level), but the patch representation allows definition of different aerodynamic temperatures at the aerodynamic level over the soil and the vegetation. As pointed out by Lhomme et al (2012), the patch representation should in theory only apply to patches large enough to develop different surface boundary layers, e.g. fallow fields amongst wetter and taller vegetated areas rather than bare soil patches even a few metres large.…”
Section: Sparse System Of Equationsmentioning
confidence: 99%
“…The original version of TSEB (Norman et al, 1995) provides two algorithms to describe the soil-vegetationatmosphere interactions, representing, respectively, the "patch" and "layer" approaches following the terminology proposed by Lhomme et al (2012). In the "layer" approach, one assumes that the air is well mixed within the canopy space so that air temperature at the aerodynamic level is rather homogeneous.…”
Abstract.Evapotranspiration is an important component of the water cycle, especially in semi-arid lands. A way to quantify the spatial distribution of evapotranspiration and water stress from remote-sensing data is to exploit the available surface temperature as a signature of the surface energy balance. Remotely sensed energy balance models enable one to estimate stress levels and, in turn, the water status of continental surfaces. Dual-source models are particularly useful since they allow derivation of a rough estimate of the water stress of the vegetation instead of that of a soil-vegetation composite. They either assume that the soil and the vegetation interact almost independently with the atmosphere (patch approach corresponding to a parallel resistance scheme) or are tightly coupled (layer approach corresponding to a series resistance scheme). The water status of both sources is solved simultaneously from a single surface temperature observation based on a realistic underlying assumption which states that, in most cases, the vegetation is unstressed, and that if the vegetation is stressed, evaporation is negligible. In the latter case, if the vegetation stress is not properly accounted for, the resulting evaporation will decrease to unrealistic levels (negative fluxes) in order to maintain the same total surface temperature. This work assesses the retrieval performances of total and component evapotranspiration as well as surface and plant water stress levels by (1) proposing a new dual-source model named Soil Plant Atmosphere and Remote Sensing Evapotranspiration (SPARSE) in two versions (parallel and series resistance networks) based on the TSEB (Two-Source Energy Balance model, Norman et al., 1995) model rationale as well as state-of-the-art formulations of turbulent and radiative exchange, (2) challenging the limits of the underlying hypothesis for those two versions through a synthetic retrieval test and (3) testing the water stress retrievals (vegetation water stress and moisture-limited soil evaporation) against in situ data over contrasted test sites (irrigated and rainfed wheat). We demonstrated with those two data sets that the SPARSE series model is more robust to component stress retrieval for this cover type, that its performance increases by using bounding relationships based on potential conditions (root mean square error lowered by up to 11 W m −2 from values of the order of 50-80 W m −2 ), and that soil evaporation retrieval is generally consistent with an independent estimate from observed soil moisture evolution.
“…The basic principles used in the study are similar to those established by Shuttleworth (1978) in his simplified description of the vegetation-atmosphere interaction: the whole canopy (soil surface included) is assumed to be subject to the same vapour pressure deficit D m at the mean source height z m (d +z 0 ), as in the original Penman-Monteith model and in two-source models (Shuttleworth and Wallace, 1985). Our investigation follows up previous works made on the formulation of evaporation from heterogeneous and sparse canopies (Lhomme et al, 2012(Lhomme et al, , 2013. We show that the generalized formulation derived by Lhomme et al (2013, Eq.…”
Abstract. The formulation of canopy evaporation is investigated on the basis of the combination equation derived from the Penman equation. All the elementary resistances (surface and boundary layer) within the canopy are taken into account, and the exchange surfaces are assumed to be subject to the same vapour pressure deficit at canopy source height. This development leads to generalized combination equations: one for completely dry canopies and the other for partially wet canopies. These equations are rather complex because they involve the partitioning of available energy within the canopy and between the wet and dry surfaces. By making some assumptions and approximations, they can provide simpler equations similar to the common Penman-Monteith model. One of the basic assumptions of this down-grading process is to consider that the available energy intercepted by the different elements making up the canopy is uniformly distributed and proportional to their respective area. Despite the somewhat unrealistic character of this hypothesis, it allows one to retrieve the simple formulations commonly and successfully used up to now. Numerical simulations are carried out by means of a simple one-dimensional model of the vegetation-atmosphere interaction with two different leaf area profiles. In dry conditions and when the soil surface is moist (low surface resistance), there is a large discrepancy between the generalized formulation and its simpler Penman-Monteith form, but much less when the soil surface is dry. In partially wet conditions, the Penman-Monteithtype equation substantially underestimates the generalized formulation when leaves are evenly distributed, but provides better estimates when leaves are concentrated in the upper half of the canopy.
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