464
Data scientists use a wide range of tools for data cleaning, processing, and visualization; many of these have a rather steep learning curve. FEW nexus evaluations
and solutions, tiered interface-based platforms that allow for easier data manipulation are needed to enable participation of a wider range of stakeholders. Stakeholders
can be quite frustrated if the model is too much of a “black box.”
At the same time, data and computational scientists are also stakeholders in the
FEW nexus participation processes. Effective, scientifically derived solutions must
be tested in practice and accepted by the larger community: stakeholders need to be
mutually aware of their needs, desires, and limitations when developing participatory tools and approaches.
The following tools can facilitate the participation and meaningful interaction of
stakeholders at all steps in the design and decision-making process.
17.3.1 Data Integration via Remote Sensing
and Ground- Based Sources
Water availability is a first-order control over crop yield and energy production.
Integrated FEW system modeling approaches are fundamentally constrained by the
hydrologic cycle and the conservation of mass. The term “water availability” is
defined here as an aggregate measure of surface soil moisture, root zone soil moisture, groundwater, precipitation, surface water impoundments, and runoff; as such,
these dynamics represent water that could be utilized for supply for diverse activities such as food production or energy generation.
Integrated Assessment Modeling (IAM) of water systems can use inputs from
weather forecast models or reanalysis products to generate spatially and temporally
detailed water availability maps crucial for predicting the coupled FEW systems
output potential. This will require research to characterize water supply using observations from a comprehensive array of ground- and space-based observations of the
Earth’s hydrologic system.
The integrated data platform will provide a more complete and accurate characterization of the available water supply than is possible through a separate analysis of
each data source. Further, when coupled with spatiotemporal measurements of agriculture food and energy production, this data platform will support the analysis of the
dynamics between water availability, energy generation, and agricultural production.
The synthesis of diverse hydro-climate, agronomic, energy, and economic data
measurement sources into a unified platform can yield a unique and valuable tool
for use in diagnosing and predicting water sustainability, agricultural resilience, and
energy security. In addition, incorporating legal or governance drivers into biophysical models may also help identify key stressors and opportunities.
Sources of hydrologic system measurements include national, state, and local
governmental agencies that quantify available groundwater, soil moisture, surface
water impoundments, and snow that span a range of spatial and temporal scales.
Measurements of hydrologic fluxes and atmospheric state variables can also be
E. Eftelioglu et al.
Data scientists use a wide range of tools for data cleaning, processing, and visualization; many of these have a rather steep learning curve. FEW nexus evaluations
and solutions, tiered interface-based platforms that allow for easier data manipulation are needed to enable participation of a wider range of stakeholders. Stakeholders
can be quite frustrated if the model is too much of a “black box.”
At the same time, data and computational scientists are also stakeholders in the
FEW nexus participation processes. Effective, scientifically derived solutions must
be tested in practice and accepted by the larger community: stakeholders need to be
mutually aware of their needs, desires, and limitations when developing participatory tools and approaches.
The following tools can facilitate the participation and meaningful interaction of
stakeholders at all steps in the design and decision-making process.
17.3.1 Data Integration via Remote Sensing
and Ground- Based Sources
Water availability is a first-order control over crop yield and energy production.
Integrated FEW system modeling approaches are fundamentally constrained by the
hydrologic cycle and the conservation of mass. The term “water availability” is
defined here as an aggregate measure of surface soil moisture, root zone soil moisture, groundwater, precipitation, surface water impoundments, and runoff; as such,
these dynamics represent water that could be utilized for supply for diverse activities such as food production or energy generation.
Integrated Assessment Modeling (IAM) of water systems can use inputs from
weather forecast models or reanalysis products to generate spatially and temporally
detailed water availability maps crucial for predicting the coupled FEW systems
output potential. This will require research to characterize water supply using observations from a comprehensive array of ground- and space-based observations of the
Earth’s hydrologic system.
The integrated data platform will provide a more complete and accurate characterization of the available water supply than is possible through a separate analysis of
each data source. Further, when coupled with spatiotemporal measurements of agriculture food and energy production, this data platform will support the analysis of the
dynamics between water availability, energy generation, and agricultural production.
The synthesis of diverse hydro-climate, agronomic, energy, and economic data
measurement sources into a unified platform can yield a unique and valuable tool
for use in diagnosing and predicting water sustainability, agricultural resilience, and
energy security. In addition, incorporating legal or governance drivers into biophysical models may also help identify key stressors and opportunities.
Sources of hydrologic system measurements include national, state, and local
governmental agencies that quantify available groundwater, soil moisture, surface
water impoundments, and snow that span a range of spatial and temporal scales.
Measurements of hydrologic fluxes and atmospheric state variables can also be
E. Eftelioglu et al.