変更

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "author": "Gabriel Perez",
2
  "author": "Gabriel Perez",
            
3
  "author_email": "",
3
  "author_email": "",
            
4
  "creator_user_id": "b79b2b0a-dff8-4e9d-8cc6-abce9662ecfc",
4
  "creator_user_id": "b79b2b0a-dff8-4e9d-8cc6-abce9662ecfc",
            
5
  "extras": [
5
  "extras": [
            
6
    {
6
    {
            
7
      "key": "spatial",
7
      "key": "spatial",
            
8
      "value": "{         \"type\": \"Polygon\",         
8
      "value": "{         \"type\": \"Polygon\",         
            
9
36391],[-96.0262640358,31.1481036391],[-96.0262640358,29.5156395445]]]      
9
36391],[-96.0262640358,31.1481036391],[-96.0262640358,29.5156395445]]]      
            
10
}"
10
}"
            
11
    }
11
    }
            
12
  ],
12
  ],
            
13
  "groups": [],
13
  "groups": [],
            
14
  "id": "228de013-ae74-4806-829e-c0de6525a8a4",
14
  "id": "228de013-ae74-4806-829e-c0de6525a8a4",
            
15
  "isopen": true,
15
  "isopen": true,
            
16
  "license_id": "cc-by",
16
  "license_id": "cc-by",
            
17
  "license_title": "Creative Commons Attribution",
17
  "license_title": "Creative Commons Attribution",
            
18
  "license_url": "http://www.opendefinition.org/licenses/cc-by",
18
  "license_url": "http://www.opendefinition.org/licenses/cc-by",
            
19
  "maintainer": "Gabriel Perez",
19
  "maintainer": "Gabriel Perez",
            
20
  "maintainer_email": "",
20
  "maintainer_email": "",
            
21
  "metadata_created": "2025-02-10T21:16:07.492814",
21
  "metadata_created": "2025-02-10T21:16:07.492814",
            
n
22
  "metadata_modified": "2025-02-10T21:16:07.492820",
n
22
  "metadata_modified": "2025-02-10T21:17:16.496771",
            
23
  "name": "model-data-for-flood-frequency-analysis",
23
  "name": "model-data-for-flood-frequency-analysis",
            
24
  "notes": "This archived provides scripts and input files used for 
24
  "notes": "This archived provides scripts and input files used for 
            
25
the implementation of a novel approach to conduct process-based Flood 
25
the implementation of a novel approach to conduct process-based Flood 
            
26
Frequency Analysis using a Stochastic Storm Transposition (SST) and an 
26
Frequency Analysis using a Stochastic Storm Transposition (SST) and an 
            
27
Integrated Surface-Subsurface Hydrological Model (ISSHM). As a 
27
Integrated Surface-Subsurface Hydrological Model (ISSHM). As a 
            
28
proof-of-concept, this study uses the ISSHM, Advanced Terrestrial 
28
proof-of-concept, this study uses the ISSHM, Advanced Terrestrial 
            
29
Simulator (Amanzi-ATS) model, and the SST model, RainyDay, to conduct 
29
Simulator (Amanzi-ATS) model, and the SST model, RainyDay, to conduct 
            
30
flood frequency analysis by simulating the flood response to 5,000 
30
flood frequency analysis by simulating the flood response to 5,000 
            
31
annual synthetic storm events in a ~2000 km2 Southeast Texas 
31
annual synthetic storm events in a ~2000 km2 Southeast Texas 
            
32
watershed.\r\n\r\nThe Watershed Workflow package is implemented in 
32
watershed.\r\n\r\nThe Watershed Workflow package is implemented in 
            
33
Python3. The Jupyter notebooks can be executed through multiple 
33
Python3. The Jupyter notebooks can be executed through multiple 
            
34
open-source tools, for example, Anaconda Jupyter Lab, VS Studio Code, 
34
open-source tools, for example, Anaconda Jupyter Lab, VS Studio Code, 
            
35
etc. Other data files include TXT, CSV, DAT, SBATCH, SHP, TIF, NetCDF, 
35
etc. Other data files include TXT, CSV, DAT, SBATCH, SHP, TIF, NetCDF, 
            
36
and HDF5 files, which can be read through Python scripts. The input 
36
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 
            
39
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 
            
40
essential for generating the ATS model input. It uses the Watershed 
40
essential for generating the ATS model input. It uses the Watershed 
            
41
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* 
            
42
Jupyter notebooks designated for the ATS model evaluation, covering 
42
Jupyter notebooks designated for the ATS model evaluation, covering 
            
43
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* 
            
44
Input files required to simulate SST storm events using RainyDay.",
44
Input files required to simulate SST storm events using RainyDay.",
            
n
45
  "num_resources": 0,
n
45
  "num_resources": 1,
            
46
  "num_tags": 8,
46
  "num_tags": 8,
            
47
  "organization": {
47
  "organization": {
            
48
    "approval_status": "approved",
48
    "approval_status": "approved",
            
49
    "created": "2024-12-13T20:42:01.291625",
49
    "created": "2024-12-13T20:42:01.291625",
            
50
    "description": "Southeast Texas Urban Integrated Field Lab 
50
    "description": "Southeast Texas Urban Integrated Field Lab 
            
51
(SETx-UIFL) is a DOE-funded Urban Integrated Field Laboratory studying 
51
(SETx-UIFL) is a DOE-funded Urban Integrated Field Laboratory studying 
            
52
the Beaumont-Port Arthur area. The project focuses on Gulf Coast 
52
the Beaumont-Port Arthur area. The project focuses on Gulf Coast 
            
53
communities with industrial facilities and population change 
53
communities with industrial facilities and population change 
            
54
challenges.",
54
challenges.",
            
55
    "id": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d",
55
    "id": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d",
            
56
    "image_url": 
56
    "image_url": 
            
57
"2025-01-01-201749.119847SETx-URBAN-IFL-Logo-Full-Color-Final.jpg",
57
"2025-01-01-201749.119847SETx-URBAN-IFL-Logo-Full-Color-Final.jpg",
            
58
    "is_organization": true,
58
    "is_organization": true,
            
59
    "name": "setx-uifl",
59
    "name": "setx-uifl",
            
60
    "state": "active",
60
    "state": "active",
            
61
    "title": "Southeast Texas Urban Integrated Field Lab",
61
    "title": "Southeast Texas Urban Integrated Field Lab",
            
62
    "type": "organization"
62
    "type": "organization"
            
63
  },
63
  },
            
64
  "owner_org": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d",
64
  "owner_org": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d",
            
65
  "private": false,
65
  "private": false,
            
66
  "relationships_as_object": [],
66
  "relationships_as_object": [],
            
67
  "relationships_as_subject": [],
67
  "relationships_as_subject": [],
            
t
68
  "resources": [],
t
68
  "resources": [
            
69
    {
            
70
      "cache_last_updated": null,
            
71
      "cache_url": null,
            
72
      "created": "2025-02-10T21:17:16.519303",
            
73
      "datastore_active": false,
            
74
      "description": "",
            
75
      "format": "",
            
76
      "hash": "",
            
77
      "id": "ff3cfb03-b033-4099-8f6c-c0defba4970a",
            
78
      "last_modified": null,
            
79
      "metadata_modified": "2025-02-10T21:17:16.502223",
            
80
      "mimetype": null,
            
81
      "mimetype_inner": null,
            
82
      "name": "Model Data Village",
            
83
      "package_id": "228de013-ae74-4806-829e-c0de6525a8a4",
            
84
      "position": 0,
            
85
      "resource_type": null,
            
86
      "size": null,
            
87
      "state": "active",
            
88
      "url": 
            
89
/catalog/d1/mn/v2/object/ess-dive-61b47c84ee0d9f4-20240314T181535001",
            
90
      "url_type": null
            
91
    }
            
92
  ],
            
69
  "state": "draft",
93
  "state": "draft",
            
70
  "tags": [
94
  "tags": [
            
71
    {
95
    {
            
72
      "display_name": "Basin Inundation Fraction",
96
      "display_name": "Basin Inundation Fraction",
            
73
      "id": "a3cdfa39-1b43-4ca6-9a47-af9f49315a47",
97
      "id": "a3cdfa39-1b43-4ca6-9a47-af9f49315a47",
            
74
      "name": "Basin Inundation Fraction",
98
      "name": "Basin Inundation Fraction",
            
75
      "state": "active",
99
      "state": "active",
            
76
      "vocabulary_id": null
100
      "vocabulary_id": null
            
77
    },
101
    },
            
78
    {
102
    {
            
79
      "display_name": "Flood Frequency Analysis",
103
      "display_name": "Flood Frequency Analysis",
            
80
      "id": "947cf914-07c9-4bd0-a871-cc09324953e8",
104
      "id": "947cf914-07c9-4bd0-a871-cc09324953e8",
            
81
      "name": "Flood Frequency Analysis",
105
      "name": "Flood Frequency Analysis",
            
82
      "state": "active",
106
      "state": "active",
            
83
      "vocabulary_id": null
107
      "vocabulary_id": null
            
84
    },
108
    },
            
85
    {
109
    {
            
86
      "display_name": "Flood Hazard",
110
      "display_name": "Flood Hazard",
            
87
      "id": "17751723-c39f-49a4-91a7-2342486052d5",
111
      "id": "17751723-c39f-49a4-91a7-2342486052d5",
            
88
      "name": "Flood Hazard",
112
      "name": "Flood Hazard",
            
89
      "state": "active",
113
      "state": "active",
            
90
      "vocabulary_id": null
114
      "vocabulary_id": null
            
91
    },
115
    },
            
92
    {
116
    {
            
93
      "display_name": "Integrated Surface-Subsurface hydrological 
117
      "display_name": "Integrated Surface-Subsurface hydrological 
            
94
Model",
118
Model",
            
95
      "id": "ffa15156-5830-4973-b54f-f102120b7a7b",
119
      "id": "ffa15156-5830-4973-b54f-f102120b7a7b",
            
96
      "name": "Integrated Surface-Subsurface hydrological Model",
120
      "name": "Integrated Surface-Subsurface hydrological Model",
            
97
      "state": "active",
121
      "state": "active",
            
98
      "vocabulary_id": null
122
      "vocabulary_id": null
            
99
    },
123
    },
            
100
    {
124
    {
            
101
      "display_name": "Peak Flows",
125
      "display_name": "Peak Flows",
            
102
      "id": "d154432a-0672-4064-89a8-c7ed01abf067",
126
      "id": "d154432a-0672-4064-89a8-c7ed01abf067",
            
103
      "name": "Peak Flows",
127
      "name": "Peak Flows",
            
104
      "state": "active",
128
      "state": "active",
            
105
      "vocabulary_id": null
129
      "vocabulary_id": null
            
106
    },
130
    },
            
107
    {
131
    {
            
108
      "display_name": "Population Flood Exposure",
132
      "display_name": "Population Flood Exposure",
            
109
      "id": "44113d7b-5819-4bec-a94d-5c2ad3558093",
133
      "id": "44113d7b-5819-4bec-a94d-5c2ad3558093",
            
110
      "name": "Population Flood Exposure",
134
      "name": "Population Flood Exposure",
            
111
      "state": "active",
135
      "state": "active",
            
112
      "vocabulary_id": null
136
      "vocabulary_id": null
            
113
    },
137
    },
            
114
    {
138
    {
            
115
      "display_name": "Process-based Hydrological Simulations",
139
      "display_name": "Process-based Hydrological Simulations",
            
116
      "id": "96085ecb-7999-48de-9c56-c741838f9590",
140
      "id": "96085ecb-7999-48de-9c56-c741838f9590",
            
117
      "name": "Process-based Hydrological Simulations",
141
      "name": "Process-based Hydrological Simulations",
            
118
      "state": "active",
142
      "state": "active",
            
119
      "vocabulary_id": null
143
      "vocabulary_id": null
            
120
    },
144
    },
            
121
    {
145
    {
            
122
      "display_name": "Stochastic Storm Transposition",
146
      "display_name": "Stochastic Storm Transposition",
            
123
      "id": "fe16344d-bfbb-4077-aa96-7ae88a5ef42a",
147
      "id": "fe16344d-bfbb-4077-aa96-7ae88a5ef42a",
            
124
      "name": "Stochastic Storm Transposition",
148
      "name": "Stochastic Storm Transposition",
            
125
      "state": "active",
149
      "state": "active",
            
126
      "vocabulary_id": null
150
      "vocabulary_id": null
            
127
    }
151
    }
            
128
  ],
152
  ],
            
129
  "title": "Model data for Flood Frequency Analysis",
153
  "title": "Model data for Flood Frequency Analysis",
            
130
  "type": "dataset",
154
  "type": "dataset",
            
131
  "url": 
155
  "url": 
            
132
"https://data.ess-dive.lbl.gov/view/doi%3A10.15485%2F2324641",
156
"https://data.ess-dive.lbl.gov/view/doi%3A10.15485%2F2324641",
            
133
  "version": ""
157
  "version": ""
            
134
}
158
}