Groundwater Recharge and Flow Approaches and Challenges for Monitoring and Modeling Using Remotely Sensed Data: Proceedings of a Workshop (2019) / Chapter Skim
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4 Mitigating Groundwater Model Uncertainties
4 Mitigating Groundwater Model Uncertainties
Pages 29-36
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From page 29... ...
There are three main approaches to groundwater modeling: lumped parameter global water balance models; global land surface models; and regional integrated modeling, which solves 3D variably saturated flow in the sub-surface and is much more computationally intensive (see Figure 4.1)
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From page 30... ...
Other factors like precipitation are coming into play across the United States, and this confounds the effects of how streamflow depletion relates to low flow extremes. She also mentioned recent work to transfer information from gaged to ungaged locations and how that might relate to groundwater, especially where wells are monitored at high temporal resolution.
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From page 31... ...
ments, airborne EM techniques, InSAR missions, and GRACE missions all provide insights at different spatiotemporal resolutions and coverage. Numerical modeling and data assimilation, with appropriate uncertainty quantification, is a contextual framework in which researchers can incorporate a observations, to provide quantified meaning and value to new observations.
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From page 32... ...
For data assimilation, it is desirable to have both model prediction and prediction uncertainty as well as measurements with less uncertainty overall in order to increase understanding. With remote sensing based observations that required processing down to an inferred quantity, there is a state of the art in terms of using large scale remote sensed observations in data assimilation or classical groundwater modeling approaches.
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From page 33... ...
Dr. Condon mentioned that there may not be roadblocks regarding data availability or methods for data assimilation; rather, the limiting factor with respect to groundwater recharge and flow may be the lack of data sets to assimilate.
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From page 34... ...
In this sense, early stakeholder involvement in developing the questions that groundwater modelers are trying to answer can help ensure that the right model is developed for the desired temporal and spatial scale. Joint groundwater and surface water modeling could also be a significant step forward for water managers, as well as an increased understanding of the resiliency of unconventional aquifers.
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From page 35... ...
In fact, insights from data in the United States can help develop methodology to deal with sparsity of data sets in other parts of the world. Resources that would be particularly useful to improve groundwater modeling include: high spatial resolution satellite imagery to identify water infrastructure and groundwater use for irrigation (in particular, geostationary satellite imagery to obtain high temporal resolution)
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