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  "author": "Gabriel Perez",
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  "author": "Gabriel Perez",
            
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  "license_id": "cc-by",
            
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  "license_title": "Creative Commons Attribution",
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  "license_title": "Creative Commons Attribution",
            
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  "license_url": "http://www.opendefinition.org/licenses/cc-by",
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  "license_url": "http://www.opendefinition.org/licenses/cc-by",
            
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  "maintainer": "Gabriel Perez",
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  "maintainer": "Gabriel Perez",
            
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  "metadata_modified": "2025-02-10T21:17:16.675282",
            
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  "name": "model-data-for-flood-frequency-analysis",
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  "name": "model-data-for-flood-frequency-analysis",
            
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  "notes": "This archived provides scripts and input files used for 
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  "notes": "This archived provides scripts and input files used for 
            
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the implementation of a novel approach to conduct process-based Flood 
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the implementation of a novel approach to conduct process-based Flood 
            
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Frequency Analysis using a Stochastic Storm Transposition (SST) and an 
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Frequency Analysis using a Stochastic Storm Transposition (SST) and an 
            
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Integrated Surface-Subsurface Hydrological Model (ISSHM). As a 
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Integrated Surface-Subsurface Hydrological Model (ISSHM). As a 
            
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proof-of-concept, this study uses the ISSHM, Advanced Terrestrial 
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proof-of-concept, this study uses the ISSHM, Advanced Terrestrial 
            
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Simulator (Amanzi-ATS) model, and the SST model, RainyDay, to conduct 
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Simulator (Amanzi-ATS) model, and the SST model, RainyDay, to conduct 
            
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flood frequency analysis by simulating the flood response to 5,000 
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flood frequency analysis by simulating the flood response to 5,000 
            
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annual synthetic storm events in a ~2000 km2 Southeast Texas 
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annual synthetic storm events in a ~2000 km2 Southeast Texas 
            
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watershed.\r\n\r\nThe Watershed Workflow package is implemented in 
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watershed.\r\n\r\nThe Watershed Workflow package is implemented in 
            
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Python3. The Jupyter notebooks can be executed through multiple 
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Python3. The Jupyter notebooks can be executed through multiple 
            
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open-source tools, for example, Anaconda Jupyter Lab, VS Studio Code, 
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open-source tools, for example, Anaconda Jupyter Lab, VS Studio Code, 
            
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etc. Other data files include TXT, CSV, DAT, SBATCH, SHP, TIF, NetCDF, 
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etc. Other data files include TXT, CSV, DAT, SBATCH, SHP, TIF, NetCDF, 
            
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and HDF5 files, which can be read through Python scripts. The input 
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and HDF5 files, which can be read through Python scripts. The input 
            
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files for the ATS model and RainyDay model have .XML and .SST 
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files for the ATS model and RainyDay model have .XML and .SST 
            
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extensions, respectively, and can be edited in any commonly used text 
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extensions, respectively, and can be edited in any commonly used text 
            
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editors.\r\n\r\nThis archive contains:\r\n\r\n* Scripts and data files 
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editors.\r\n\r\nThis archive contains:\r\n\r\n* Scripts and data files 
            
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essential for generating the ATS model input. It uses the Watershed 
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essential for generating the ATS model input. It uses the Watershed 
            
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Workflow package to produce both mesh and ATS input files.\r\n\r\n* 
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Workflow package to produce both mesh and ATS input files.\r\n\r\n* 
            
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Jupyter notebooks designated for the ATS model evaluation, covering 
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Jupyter notebooks designated for the ATS model evaluation, covering 
            
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both long-term simulations and 40 rainfall-runoff events.\r\n\r\n* 
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both long-term simulations and 40 rainfall-runoff events.\r\n\r\n* 
            
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Input files required to simulate SST storm events using RainyDay.",
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Input files required to simulate SST storm events using RainyDay.",
            
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    "approval_status": "approved",
            
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    "created": "2024-12-13T20:42:01.291625",
            
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    "description": "Southeast Texas Urban Integrated Field Lab 
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    "description": "Southeast Texas Urban Integrated Field Lab 
            
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(SETx-UIFL) is a DOE-funded Urban Integrated Field Laboratory studying 
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(SETx-UIFL) is a DOE-funded Urban Integrated Field Laboratory studying 
            
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the Beaumont-Port Arthur area. The project focuses on Gulf Coast 
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the Beaumont-Port Arthur area. The project focuses on Gulf Coast 
            
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communities with industrial facilities and population change 
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communities with industrial facilities and population change 
            
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challenges.",
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challenges.",
            
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  "title": "Model data for Flood Frequency Analysis",
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  "title": "Model data for Flood Frequency Analysis",
            
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"https://data.ess-dive.lbl.gov/view/doi%3A10.15485%2F2324641",
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