Quantifying the effects of data integration algorithms on the outcomes of a subsurface–land surface processes model
Trans-disciplinary hydrologic models oriented toward practical questions must be accompanied by accurate parameterization techniques. This paper describes the effects of different choices in the integration of various data sources on outcomes of the model Process-based Adaptive Watershed Simulator c...
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| Vydáno v: | Environmental modelling & software : with environment data news Ročník 59; s. 146 - 161 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Oxford
Elsevier Ltd
01.09.2014
Elsevier |
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| ISSN: | 1364-8152 |
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| Abstract | Trans-disciplinary hydrologic models oriented toward practical questions must be accompanied by accurate parameterization techniques. This paper describes the effects of different choices in the integration of various data sources on outcomes of the model Process-based Adaptive Watershed Simulator coupled with the Community Land Model (PAWS + CLM). Using our Hierarchical Stochastic Selection method, the represented land use percentages are much closer to the raw dataset, and lead to a 26% difference in carbon flux from that of the traditional dominant classes method. River bed elevations extracted using a novel algorithm agree well with the groundwater table and significantly increase baseflow contribution to streams relative to a coarse-DEM-based model. The inclusion of additional information in the soil pedotransfer functions drastically shifts ET, Net Primary Production and recharge. These results indicate that judicious treatment of input data has strong impacts on hydrologic and ecosystem fluxes. We emphasize the need to report details of data integration procedures.
•Novel data pre-processing and integration algorithms are presented.•We showed the impact of River Bed Elevation extraction algorithm on simulated baseflow.•We showed the impact of a novel Hierarchical Stochastic Selection method on land use representation and carbon flux.•We showed the influence of using additional data in soil pedotransfer functions on basin-wide hydrologic and ecosystem fluxes.•We emphasize the need to include details of data integration procedures in the literature. |
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| AbstractList | Trans-disciplinary hydrologic models oriented toward practical questions must be accompanied by accurate parameterization techniques. This paper describes the effects of different choices in the integration of various data sources on outcomes of the model Process-based Adaptive Watershed Simulator coupled with the Community Land Model (PAWS + CLM). Using our Hierarchical Stochastic Selection method, the represented land use percentages are much closer to the raw dataset, and lead to a 26% difference in carbon flux from that of the traditional dominant classes method. River bed elevations extracted using a novel algorithm agree well with the groundwater table and significantly increase baseflow contribution to streams relative to a coarse-DEM-based model. The inclusion of additional information in the soil pedotransfer functions drastically shifts ET, Net Primary Production and recharge. These results indicate that judicious treatment of input data has strong impacts on hydrologic and ecosystem fluxes. We emphasize the need to report details of data integration procedures. Trans-disciplinary hydrologic models oriented toward practical questions must be accompanied by accurate parameterization techniques. This paper describes the effects of different choices in the integration of various data sources on outcomes of the model Process-based Adaptive Watershed Simulator coupled with the Community Land Model (PAWS + CLM). Using our Hierarchical Stochastic Selection method, the represented land use percentages are much closer to the raw dataset, and lead to a 26% difference in carbon flux from that of the traditional dominant classes method. River bed elevations extracted using a novel algorithm agree well with the groundwater table and significantly increase baseflow contribution to streams relative to a coarse-DEM-based model. The inclusion of additional information in the soil pedotransfer functions drastically shifts ET, Net Primary Production and recharge. These results indicate that judicious treatment of input data has strong impacts on hydrologic and ecosystem fluxes. We emphasize the need to report details of data integration procedures. •Novel data pre-processing and integration algorithms are presented.•We showed the impact of River Bed Elevation extraction algorithm on simulated baseflow.•We showed the impact of a novel Hierarchical Stochastic Selection method on land use representation and carbon flux.•We showed the influence of using additional data in soil pedotransfer functions on basin-wide hydrologic and ecosystem fluxes.•We emphasize the need to include details of data integration procedures in the literature. |
| Author | Niu, Jie Fang, Kuai Shen, Chaopeng |
| Author_xml | – sequence: 1 givenname: Chaopeng orcidid: 0000-0002-0685-1901 surname: Shen fullname: Shen, Chaopeng email: cshen@engr.psu.edu organization: Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA 16802, USA – sequence: 2 givenname: Jie orcidid: 0000-0001-8544-7474 surname: Niu fullname: Niu, Jie email: niujie@msu.edu, jniu@lbl.gov organization: Department of Civil & Environmental Engineering, Michigan State University, East Lansing, MI 48824, USA – sequence: 3 givenname: Kuai surname: Fang fullname: Fang, Kuai organization: Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA 16802, USA |
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| Keywords | CLM Pre-processing Data integration PAWS Physically-based hydrologic model Surface–subsurface interactions Pedotransfer functions Surface-subsurface interactions Interaction Models Algorithm Subsurface |
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| SubjectTerms | Algorithms Animal, plant and microbial ecology base flow Biological and medical sciences Carbon CLM Coarsening computer software data collection Data integration ecosystems Fundamental and applied biological sciences. Psychology General aspects. Techniques hydrologic models Hydrology land use Mathematical models Methods and techniques (sampling, tagging, trapping, modelling...) Parametrization PAWS Pedotransfer functions Physically-based hydrologic model Pre-processing primary productivity soil stream channels Surface–subsurface interactions water table Watersheds |
| Title | Quantifying the effects of data integration algorithms on the outcomes of a subsurface–land surface processes model |
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