Tuesday, 8 January 2019
Hall 4 (Phoenix Convention Center - West and North Buildings)
The impact of prolong drought on ecosystem response can influence
the land-atmosphere interactions and modify local and regional weather and
climate. The inevitable role of plants in increasing evaporation demand has
moved the study of plant hydraulics from the margins of plant physiology to
core topics in climate science and global hydrology. Despite the rapid
growth of the Land surface models (LSMs) the accuracy of energy, water, and
carbon fluxes simulated by LSMs due to the lack of observational data and
the complexity of interactions and feedback among different processes remain
a subject of inquiry. We use the Noah-MP (Multiphysics) Land Surface Model
in this study to investigate major factors controlling the
evapotranspiration (ET) partitioning and Plant water-use efficiency (WUE).
The scheme and the impact of biophysical processes are evaluated against
tower measurements of surface fluxes from two eddy covariance (EC) towers
closely located in northeastern Kansas. One site Konza Prairie Biological
Station (KON) is located in an annually-burned watershed and dominated by
perennial C4 grass species. While the second site at the University of
Kansas Field Station (KFS) is a mix of C3 forbs and C4 grasses with a small
fraction of woody vegetation, burned every four years. Data and model runs
from two growing seasons for both wet and dry years will be used to
investigate the relative impact of the land surface parameterization on the
simulated eco-hydrological processes. Sensitivity analyses will be used to
understand how variation of plant hydrological, and biological processes in
model parameters affect simulations of dominant physical processes.
the land-atmosphere interactions and modify local and regional weather and
climate. The inevitable role of plants in increasing evaporation demand has
moved the study of plant hydraulics from the margins of plant physiology to
core topics in climate science and global hydrology. Despite the rapid
growth of the Land surface models (LSMs) the accuracy of energy, water, and
carbon fluxes simulated by LSMs due to the lack of observational data and
the complexity of interactions and feedback among different processes remain
a subject of inquiry. We use the Noah-MP (Multiphysics) Land Surface Model
in this study to investigate major factors controlling the
evapotranspiration (ET) partitioning and Plant water-use efficiency (WUE).
The scheme and the impact of biophysical processes are evaluated against
tower measurements of surface fluxes from two eddy covariance (EC) towers
closely located in northeastern Kansas. One site Konza Prairie Biological
Station (KON) is located in an annually-burned watershed and dominated by
perennial C4 grass species. While the second site at the University of
Kansas Field Station (KFS) is a mix of C3 forbs and C4 grasses with a small
fraction of woody vegetation, burned every four years. Data and model runs
from two growing seasons for both wet and dry years will be used to
investigate the relative impact of the land surface parameterization on the
simulated eco-hydrological processes. Sensitivity analyses will be used to
understand how variation of plant hydrological, and biological processes in
model parameters affect simulations of dominant physical processes.
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