Aldaketak

              
    

          
          
        
        

            
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  "author": "William Mobley",
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  "author": "William Mobley",
            
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  "author_email": "wmobley@tacc.utexas.edu",
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  "author_email": "wmobley@tacc.utexas.edu",
            
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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": "William Mobley",
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  "maintainer": "William Mobley",
            
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  "maintainer_email": "wmobley@tacc.utexas.edu",
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  "maintainer_email": "wmobley@tacc.utexas.edu",
            
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  "metadata_created": "2025-07-21T16:35:34.598140",
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  "metadata_created": "2025-07-21T16:35:34.598140",
            
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  "metadata_modified": "2025-09-02T19:07:19.536529",
            
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  "name": "bethel-flood-model",
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  "name": "bethel-flood-model",
            
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  "notes": "The **Bethel Flood Model** is a high-resolution flood 
16
  "notes": "The **Bethel Flood Model** is a high-resolution flood 
            
17
inundation dataset generated via the 
17
inundation dataset generated via the 
            
18
[PyGeoFlood](https://github.com/TACC/pygeoflood) framework, using 
18
[PyGeoFlood](https://github.com/TACC/pygeoflood) framework, using 
            
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low-cost sensors deployed in the Bethel, Alaska region. \r\n\r\nThis 
19
low-cost sensors deployed in the Bethel, Alaska region. \r\n\r\nThis 
            
20
model simulates flood conditions under specific hydrological 
20
model simulates flood conditions under specific hydrological 
            
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scenarios, allowing emergency planners, researchers, and local 
21
scenarios, allowing emergency planners, researchers, and local 
            
22
stakeholders to assess risk, prepare response strategies, and improve 
22
stakeholders to assess risk, prepare response strategies, and improve 
            
23
resilience in vulnerable regions. \r\n\r\nThe dataset was generated 
23
resilience in vulnerable regions. \r\n\r\nThe dataset was generated 
            
24
via job submission through the [MINT 
24
via job submission through the [MINT 
            
25
platform](https://mint.tacc.utexas.edu/), a workflow system for 
25
platform](https://mint.tacc.utexas.edu/), a workflow system for 
            
26
integrated modeling, and represents a synthesis of community-based 
26
integrated modeling, and represents a synthesis of community-based 
            
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data collection and cloud-based modeling. ",
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data collection and cloud-based modeling. ",
            
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    "approval_status": "approved",
            
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