TY - JOUR
T1 - Application of the two-source energy balance model to partition evapotranspiration in an arid wine vineyard
AU - Kool, Dilia
AU - Kustas, William P.
AU - Agam, Nurit
PY - 2016/4/1
Y1 - 2016/4/1
N2 - The partitioning of evapotranspiration (ET) into transpiration (T), a
productive water use, and soil water evaporation (E), which is generally
considered a water loss, is highly relevant to agriculture in the light
of increasing desertification and water scarcity. This task is
challenged by the complexity of soil and plant interactions, coupled
with changes in atmospheric and soil water content conditions. Many of
the processes controlling water/energy exchange are not adequately
modeled. The two-source energy balance model (TSEB) was evaluated and
adapted for independent E and T estimations in an isolated
drip-irrigated wine vineyard in the arid Negev desert. The TSEB model
estimates ET by computing vegetation and soil energy fluxes using
remotely sensed composite surface temperature, local weather data (solar
radiation, air temperature and humidity, and wind speed), and vegetation
metrics (row spacing, canopy height and width, and leaf area). The soil
and vegetation energy fluxes are computed numerically using a system of
temperature gradient and resistance equations; where soil and canopy
temperatures are derived from the composite surface temperature. For
estimation of ET, the TSEB model has been shown to perform well for
various agricultural crops under a wide range of environmental
conditions, but validation of T and E fluxes is limited to one study in
a well-watered cotton crop. Extending the TSEB approach to water-limited
vineyards demands careful consideration regarding how the complex canopy
structure of vineyards will influence the accuracy of the partitioning
between E and T. Data for evaluation of the TSEB model were collected
over a season (bud break till harvest). Composite, canopy, and soil
surface temperatures were measured using infrared thermometers. The
composite vegetation and soil surface energy fluxes were assessed using
independent measurements of net radiation, and soil, sensible and latent
heat flux. The below canopy energy balance was assessed at the dry
midrow position as well as the wet irrigated position directly
underneath the vine row, where net radiation and soil heat flux were
measured, sensible heat flux was computed indirectly, and E was
calculated as the residual. While the below canopy energy balance
approach used in this study allowed continuous assessment of E at daily
intervals, instantaneous E fluxes could not be assessed due to vertical
variability in shading below the canopy. Seasonal partitioning indicated
that total E amounted to 9-11% of ET. Initial evaluation of the TSEB
model indicated that discrepancies between modeled and measured fluxes
can largely be attributed to net radiation partitioning. In addition,
large diurnal variation at the soil surface requires adaptation of the
soil heat flux formulations. Improved estimation of energy fluxes by
accounting for the relatively complex canopy structure of vineyards will
be highlighted.
AB - The partitioning of evapotranspiration (ET) into transpiration (T), a
productive water use, and soil water evaporation (E), which is generally
considered a water loss, is highly relevant to agriculture in the light
of increasing desertification and water scarcity. This task is
challenged by the complexity of soil and plant interactions, coupled
with changes in atmospheric and soil water content conditions. Many of
the processes controlling water/energy exchange are not adequately
modeled. The two-source energy balance model (TSEB) was evaluated and
adapted for independent E and T estimations in an isolated
drip-irrigated wine vineyard in the arid Negev desert. The TSEB model
estimates ET by computing vegetation and soil energy fluxes using
remotely sensed composite surface temperature, local weather data (solar
radiation, air temperature and humidity, and wind speed), and vegetation
metrics (row spacing, canopy height and width, and leaf area). The soil
and vegetation energy fluxes are computed numerically using a system of
temperature gradient and resistance equations; where soil and canopy
temperatures are derived from the composite surface temperature. For
estimation of ET, the TSEB model has been shown to perform well for
various agricultural crops under a wide range of environmental
conditions, but validation of T and E fluxes is limited to one study in
a well-watered cotton crop. Extending the TSEB approach to water-limited
vineyards demands careful consideration regarding how the complex canopy
structure of vineyards will influence the accuracy of the partitioning
between E and T. Data for evaluation of the TSEB model were collected
over a season (bud break till harvest). Composite, canopy, and soil
surface temperatures were measured using infrared thermometers. The
composite vegetation and soil surface energy fluxes were assessed using
independent measurements of net radiation, and soil, sensible and latent
heat flux. The below canopy energy balance was assessed at the dry
midrow position as well as the wet irrigated position directly
underneath the vine row, where net radiation and soil heat flux were
measured, sensible heat flux was computed indirectly, and E was
calculated as the residual. While the below canopy energy balance
approach used in this study allowed continuous assessment of E at daily
intervals, instantaneous E fluxes could not be assessed due to vertical
variability in shading below the canopy. Seasonal partitioning indicated
that total E amounted to 9-11% of ET. Initial evaluation of the TSEB
model indicated that discrepancies between modeled and measured fluxes
can largely be attributed to net radiation partitioning. In addition,
large diurnal variation at the soil surface requires adaptation of the
soil heat flux formulations. Improved estimation of energy fluxes by
accounting for the relatively complex canopy structure of vineyards will
be highlighted.
M3 - תקציר הצגה בכנס
SN - 1029-7006
VL - 18
JO - Geophysical Research Abstracts
JF - Geophysical Research Abstracts
ER -