2025 CSDMS meeting-026: Difference between revisions

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{{CSDMS meeting abstract title temp2025
{{CSDMS meeting abstract title temp2025
|CSDMS meeting abstract title=Seasonal Simulation of Water Table level Change Across North America by Using Water Table Model (WTM)
|CSDMS meeting abstract title=Simulation of seasonal water table dynamics Across North America using the Water Table Model (WTM)
|Working_group_member_WG_FRG=Hydrology Focus Research Group
|Working_group_member_WG_FRG=Hydrology Focus Research Group
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{{CSDMS meeting abstract template 2025
{{CSDMS meeting abstract template 2025
|CSDMS meeting abstract=This work investigates the spatial and temporal  water table levels dynamics across North America for year 2020 CE, by using Water Table Model (WTM). The WTM offers a model of water table fluctuations at high resolution in space and time by incorporating climate data, hydrological processes and geological parameters. Results show strong natural variability due to climatic controls of water table, related to precipitation and evaporation. monthly analysis for the period 2020 reflected regional variability, including an increase in the water table in regions with consistent precipitation and a significant decline in drought-prone areas. The study emphasizes the lagged response of water table levels to precipitation events, reflecting time-dependent recharge dynamics. Model validation against USGS and FLake datasets shows the model accuracy with SNE values above 0.93. These results give critical insight into the long-term water table trends and inform the main directions of sustainable management and adaptation to future climate change impacts.
|CSDMS meeting abstract=Understanding trends in water table dynamics is critical for closing the global water budget and for water resources management and environmental sustainability. Continental-scale hydrological simulations typically assume that the water table is at steady-state, despite the fact that this is unlikely to be true under changing climate. Here, we present monthly water table fields for the year 2020 across North America based on a simulation using the Water Table Model (WTM). To obtain these, we initialised the WTM using a transiently simulated water table from 500 years before present, and performed a model spin-up to obtain our monthly temporal resolution. The WTM integrates climate variables, topography, and hydrogeological characteristics to simulate depth to the water table, including groundwater and lakes. Our results offer insights into spatial and temporal patterns of water table response to seasonal climatic conditions. Results indicate significant regional variations in water table fluctuations driven by seasonal precipitation and evapotranspiration. This study shows a lag time of approximately 3 to 4 months between measured changes in climate variables and the corresponding response in the water table level. Our study emphasizes the need for targeted, regional management practices to mitigate potential adverse impacts and to optimize water resources under climatic changing conditions.
|CSDMS meeting posterPDF= Poster_CSDMS6.pdf
|CSDMS meeting posterPNG= Poster_CSDMS6.png
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Latest revision as of 06:35, 30 May 2025



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Simulation of seasonal water table dynamics Across North America using the Water Table Model (WTM)


Mohammad Haghiri, University of Illinois Chicago Chicago Illinois, United States. mhaghi2@uic.edu
Kerry Callaghan, University of Illinois Chicago Chicago Illinois, United States. kerryc@uic.edu



Understanding trends in water table dynamics is critical for closing the global water budget and for water resources management and environmental sustainability. Continental-scale hydrological simulations typically assume that the water table is at steady-state, despite the fact that this is unlikely to be true under changing climate. Here, we present monthly water table fields for the year 2020 across North America based on a simulation using the Water Table Model (WTM). To obtain these, we initialised the WTM using a transiently simulated water table from 500 years before present, and performed a model spin-up to obtain our monthly temporal resolution. The WTM integrates climate variables, topography, and hydrogeological characteristics to simulate depth to the water table, including groundwater and lakes. Our results offer insights into spatial and temporal patterns of water table response to seasonal climatic conditions. Results indicate significant regional variations in water table fluctuations driven by seasonal precipitation and evapotranspiration. This study shows a lag time of approximately 3 to 4 months between measured changes in climate variables and the corresponding response in the water table level. Our study emphasizes the need for targeted, regional management practices to mitigate potential adverse impacts and to optimize water resources under climatic changing conditions.

Click on the poster to enlarge