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Comparing potential recharge estimates from three Land Surface Models across the Western US
Rewati Niraula1, Thomas Meixner1, Hoori Ajami2
1Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, Arizona.
Journal of Hydrology
|April 6, 2018
Summary
Land surface models (LSMs) estimate groundwater recharge in the western US. VIC and Noah LSMs show potential for projecting future recharge rates in data-limited regions.
Area of Science:
- Hydrology
- Environmental Modeling
- Water Resource Management
Background:
- Groundwater is a critical water source in the western US.
- Accurate groundwater recharge estimates are limited due to complex processes and observational challenges.
Purpose of the Study:
- To evaluate the utility of Land Surface Models (LSMs) for estimating groundwater recharge in the western US.
- To compare recharge estimates from three LSMs (Noah, Mosaic, VIC) with existing data.
Main Methods:
- Utilized NLDAS-2 simulations from Noah, Mosaic, and VIC LSMs.
- Compared modeled recharge with published estimates for western US aquifers.
- Analyzed spatial and temporal patterns, including seasonality.
Main Results:
- Mosaic LSM consistently underestimated recharge.
- Noah and VIC LSMs showed varying degrees of over/underestimation depending on basin wetness.
- All models agreed on dominant spring recharge seasonality and identified consistent high/low recharge areas.
Conclusions:
- LSMs, particularly VIC and Noah, can effectively capture spatial and temporal recharge patterns at large scales.
- These models are valuable tools for estimating future groundwater recharge in data-scarce western US regions.
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