The US COASTAL Act, the end-to-end workflow Article Swipe
Ali Abdolali
,
Sanjay Kumar
,
Zaizhong Ma
,
Roshan Shrestha
,
André van der Westhuysen
,
Saeed Moghimi
,
Ryan Grout
,
Julio A. Zyserman
,
Avichal Mehra
,
Maoyi Huang
,
A. L. Clark
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1002/essoar.10510231.1
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1002/essoar.10510231.1
The Named Storm Event Model (NSEM) which includes the atmospheric suite (HWRF 1, HRRR 2, RTMA-URMA 3 and WRF-LES 4) [1], the coupled wave-surge-riverine modeling system (WW3 5-ADCIRC 6-NWM 7) [2,3] and a validation suite has been developed to provide definitive estimates of wind and water variables of major landfalling hurricanes, in compliance with the United States COASTAL Act of 2012. Within this framework, the performance of atmospheric products is evaluated and blended fields are generated on a high-resolution grid, using a master blend recipe. The atmospheric data forces the downstream hydro-coupled component which includes the wave (WAVEWATCH III [4,5]), ocean circulation (ADCIRC) and hydrological models (NWM). These have been coupled using the community-based National Unified Operational Prediction Capability (NUOPC) layer based on the Earth Systems Modeling Framework (ESMF). The wind and hydro products are evaluated against offshore and coastal wave buoys, nearshore water level stations, radars and satellite altimeters, as well as USGS rapid-deployment water level and wave gauges placed in the nearshore regions and overland. The NSEM workflow will be presented at the conference, highlighting the advantages of ESMF in model performance improvement and challenges for upstream atmospheric model blending, model coupling, and validation against observations. 1- HWRF (Hurricane Weather Research and Forecasting) 2- HRRR (High-Resolution Rapid Refresh) 3- RTMA-URMA (Real Time Mesoscale Analysis-UnRestricted Mesoscale Analysis) 4- WRF-LES (Weather Research and Forecasting-Large Eddy Simulation) 5- WAVEWATCH III (WAVE-height, WATer depth and Current Hindcasting) 6- ADCIRC (The ADvanced CIRCulation model) 7- NWM (National Water Model)
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1002/essoar.10510231.1
- https://essopenarchive.org/doi/pdf/10.1002/essoar.10510231.1
- OA Status
- gold
- References
- 6
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4207023247
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4207023247Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/essoar.10510231.1Digital Object Identifier
- Title
-
The US COASTAL Act, the end-to-end workflowWork title
- Type
-
preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-01-21Full publication date if available
- Authors
-
Ali Abdolali, Sanjay Kumar, Zaizhong Ma, Roshan Shrestha, André van der Westhuysen, Saeed Moghimi, Ryan Grout, Julio A. Zyserman, Avichal Mehra, Maoyi Huang, A. L. ClarkList of authors in order
- Landing page
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https://doi.org/10.1002/essoar.10510231.1Publisher landing page
- PDF URL
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https://essopenarchive.org/doi/pdf/10.1002/essoar.10510231.1Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://essopenarchive.org/doi/pdf/10.1002/essoar.10510231.1Direct OA link when available
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Hindcast, Mesoscale meteorology, Environmental science, Meteorology, Weather Research and Forecasting Model, Storm surge, Bathymetry, Tide gauge, Wave model, Significant wave height, Storm, Scatterometer, Wind speed, Wind wave, Geology, Oceanography, Sea level, GeographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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6Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.[1], | 20 |
| abstract_inverted_index.been | 36, 109 |
| abstract_inverted_index.data | 87 |
| abstract_inverted_index.have | 108 |
| abstract_inverted_index.this | 62 |
| abstract_inverted_index.wave | 96, 140, 158 |
| abstract_inverted_index.well | 151 |
| abstract_inverted_index.will | 170 |
| abstract_inverted_index.wind | 43, 130 |
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| abstract_inverted_index.(HWRF | 11 |
| abstract_inverted_index.(Real | 212 |
| abstract_inverted_index.2012. | 60 |
| abstract_inverted_index.6-NWM | 28 |
| abstract_inverted_index.Earth | 124 |
| abstract_inverted_index.Event | 3 |
| abstract_inverted_index.Model | 4 |
| abstract_inverted_index.Named | 1 |
| abstract_inverted_index.Rapid | 208 |
| abstract_inverted_index.Storm | 2 |
| abstract_inverted_index.These | 107 |
| abstract_inverted_index.WATer | 230 |
| abstract_inverted_index.Water | 244 |
| abstract_inverted_index.[2,3] | 30 |
| abstract_inverted_index.based | 121 |
| abstract_inverted_index.blend | 83 |
| abstract_inverted_index.depth | 231 |
| abstract_inverted_index.grid, | 79 |
| abstract_inverted_index.hydro | 132 |
| abstract_inverted_index.layer | 120 |
| abstract_inverted_index.level | 144, 156 |
| abstract_inverted_index.major | 48 |
| abstract_inverted_index.model | 182, 190, 192 |
| abstract_inverted_index.ocean | 100 |
| abstract_inverted_index.suite | 10, 34 |
| abstract_inverted_index.using | 80, 111 |
| abstract_inverted_index.water | 45, 143, 155 |
| abstract_inverted_index.which | 6, 93 |
| abstract_inverted_index.(NSEM) | 5 |
| abstract_inverted_index.(NWM). | 106 |
| abstract_inverted_index.ADCIRC | 236 |
| abstract_inverted_index.Model) | 245 |
| abstract_inverted_index.States | 56 |
| abstract_inverted_index.United | 55 |
| abstract_inverted_index.Within | 61 |
| abstract_inverted_index.buoys, | 141 |
| abstract_inverted_index.fields | 73 |
| abstract_inverted_index.forces | 88 |
| abstract_inverted_index.gauges | 159 |
| abstract_inverted_index.master | 82 |
| abstract_inverted_index.model) | 240 |
| abstract_inverted_index.models | 105 |
| abstract_inverted_index.placed | 160 |
| abstract_inverted_index.radars | 146 |
| abstract_inverted_index.system | 25 |
| abstract_inverted_index.(ESMF). | 128 |
| abstract_inverted_index.(NUOPC) | 119 |
| abstract_inverted_index.COASTAL | 57 |
| abstract_inverted_index.Current | 233 |
| abstract_inverted_index.Systems | 125 |
| abstract_inverted_index.Unified | 115 |
| abstract_inverted_index.WRF-LES | 18, 219 |
| abstract_inverted_index.Weather | 201 |
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| abstract_inverted_index.blended | 72 |
| abstract_inverted_index.coastal | 139 |
| abstract_inverted_index.coupled | 22, 110 |
| abstract_inverted_index.provide | 39 |
| abstract_inverted_index.recipe. | 84 |
| abstract_inverted_index.regions | 164 |
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| abstract_inverted_index.(Weather | 220 |
| abstract_inverted_index.5-ADCIRC | 27 |
| abstract_inverted_index.ADvanced | 238 |
| abstract_inverted_index.Modeling | 126 |
| abstract_inverted_index.National | 114 |
| abstract_inverted_index.Refresh) | 209 |
| abstract_inverted_index.Research | 202, 221 |
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| abstract_inverted_index.modeling | 24 |
| abstract_inverted_index.offshore | 137 |
| abstract_inverted_index.products | 68, 133 |
| abstract_inverted_index.upstream | 188 |
| abstract_inverted_index.workflow | 169 |
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| abstract_inverted_index.Analysis) | 217 |
| abstract_inverted_index.Framework | 127 |
| abstract_inverted_index.Mesoscale | 214, 216 |
| abstract_inverted_index.RTMA-URMA | 15, 211 |
| abstract_inverted_index.WAVEWATCH | 227 |
| abstract_inverted_index.blending, | 191 |
| abstract_inverted_index.component | 92 |
| abstract_inverted_index.coupling, | 193 |
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| abstract_inverted_index.estimates | 41 |
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| abstract_inverted_index.generated | 75 |
| abstract_inverted_index.nearshore | 142, 163 |
| abstract_inverted_index.overland. | 166 |
| abstract_inverted_index.presented | 172 |
| abstract_inverted_index.satellite | 148 |
| abstract_inverted_index.stations, | 145 |
| abstract_inverted_index.variables | 46 |
| abstract_inverted_index.(Hurricane | 200 |
| abstract_inverted_index.(WAVEWATCH | 97 |
| abstract_inverted_index.Capability | 118 |
| abstract_inverted_index.Prediction | 117 |
| abstract_inverted_index.advantages | 178 |
| abstract_inverted_index.challenges | 186 |
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| abstract_inverted_index.definitive | 40 |
| abstract_inverted_index.downstream | 90 |
| abstract_inverted_index.framework, | 63 |
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| abstract_inverted_index.CIRCulation | 239 |
| abstract_inverted_index.Operational | 116 |
| abstract_inverted_index.Simulation) | 225 |
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| abstract_inverted_index.atmospheric | 9, 67, 86, 189 |
| abstract_inverted_index.circulation | 101 |
| abstract_inverted_index.conference, | 175 |
| abstract_inverted_index.hurricanes, | 50 |
| abstract_inverted_index.improvement | 184 |
| abstract_inverted_index.landfalling | 49 |
| abstract_inverted_index.performance | 65, 183 |
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| abstract_inverted_index.Hindcasting) | 234 |
| abstract_inverted_index.highlighting | 176 |
| abstract_inverted_index.hydrological | 104 |
| abstract_inverted_index.(WAVE-height, | 229 |
| abstract_inverted_index.hydro-coupled | 91 |
| abstract_inverted_index.observations. | 197 |
| abstract_inverted_index.community-based | 113 |
| abstract_inverted_index.high-resolution | 78 |
| abstract_inverted_index.(High-Resolution | 207 |
| abstract_inverted_index.rapid-deployment | 154 |
| abstract_inverted_index.Forecasting-Large | 223 |
| abstract_inverted_index.wave-surge-riverine | 23 |
| abstract_inverted_index.Analysis-UnRestricted | 215 |
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| institutions_distinct_count | 11 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/14 |
| sustainable_development_goals[0].score | 0.7799999713897705 |
| sustainable_development_goals[0].display_name | Life below water |
| citation_normalized_percentile.value | 0.00742215 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |