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{
            
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  "author": "Gabriel Perez",
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  "author": "Gabriel Perez",
            
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  "author_email": "",
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  "author_email": "",
            
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  "isopen": true,
            
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  "license_id": "cc-by",
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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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  "maintainer_email": "",
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  "maintainer_email": "",
            
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  "metadata_created": "2025-02-10T21:16:07.492814",
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  "metadata_created": "2025-02-10T21:16:07.492814",
            
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  "metadata_modified": "2025-02-10T21:17:16.496771",
            
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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 
33
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 
            
37
files for the ATS model and RainyDay model have .XML and .SST 
37
files for the ATS model and RainyDay model have .XML and .SST 
            
38
extensions, respectively, and can be edited in any commonly used text 
38
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 
39
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 
40
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* 
41
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 
42
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* 
43
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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  "organization": {
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2024-12-13T20:42:01.291625",
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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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    "image_url": 
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    "title": "Southeast Texas Urban Integrated Field Lab",
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    {
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      "display_name": "Basin Inundation Fraction",
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      "display_name": "Flood Frequency Analysis",
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      "display_name": "Process-based Hydrological Simulations",
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      "name": "Process-based Hydrological Simulations",
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      "name": "Process-based Hydrological Simulations",
            
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      "name": "Stochastic Storm Transposition",
            
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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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  "type": "dataset",
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  "type": "dataset",
            
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  "url": 
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  "url": 
            
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"https://data.ess-dive.lbl.gov/view/doi%3A10.15485%2F2324641",
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"https://data.ess-dive.lbl.gov/view/doi%3A10.15485%2F2324641",
            
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}
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}