the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A Conceptual Framework for Integration Development of GSFLOW Model: Concerns and Issues Identified and Addressed for Model Development Efficiency
Chao Chen
Sajjad Ahmad
Ajay Kalra
Abstract. In Coupled Groundwater and Surface-Water Flow (GSFLOW) model, the three-dimensional finite-difference groundwater model (MODFLOW) plays a critical role of groundwater flow simulation, together with which the Precipitation-Runoff Modeling System (PRMS) simulates the surface hydrologic processes. While the model development of each individual PRMS and MODFLOW model requires tremendous time and efforts, further integration development of these two models exerts additional concerns and issues due to different simulation realm, data communication, and computation algorithms. To address these concerns and issues in GSFLOW, the present paper proposes a conceptual framework from perspectives of: Model Conceptualization, Data Linkages and Transference, Model Calibration, and Sensitivity Analysis. As a demonstration, a MODFLOW groundwater flow system was developed and coupled with the PRMS model in the Lehman Creek watershed, eastern Nevada, resulting in a smooth and efficient integration as the hydrogeologic features were well captured and represented. The proposed conceptual integration framework with techniques and concerns identified substantially improves GSFLOW model development efficiency and help better model result interpretations. This may also find applications in other integrated hydrologic modelings.
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Chao Chen et al.
Interactive discussion


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SC1: 'Executive Editor comment on gmd-2018-268', Astrid Kerkweg, 18 Dec 2018
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RC1: 'Review A Conceptual Framework', Anonymous Referee #1, 22 Dec 2018
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RC2: 'review', Anonymous Referee #2, 25 Dec 2018
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RC3: 'Review Comments', Anonymous Referee #3, 12 Jan 2019
Interactive discussion


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SC1: 'Executive Editor comment on gmd-2018-268', Astrid Kerkweg, 18 Dec 2018
-
RC1: 'Review A Conceptual Framework', Anonymous Referee #1, 22 Dec 2018
-
RC2: 'review', Anonymous Referee #2, 25 Dec 2018
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RC3: 'Review Comments', Anonymous Referee #3, 12 Jan 2019
Chao Chen et al.
Chao Chen et al.
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