Oso Creek Flood Prediction AI Model
Sector: Water Supply and Storage • Location: Corpus Christi, Texas, United States
Source: Corpus Christi Caller-Times
A Texas A&M University-Corpus Christi student is developing a machine learning model using artificial intelligence to predict flooding on Oso Creek. The model uses precipitation, tidal, and water level data to forecast flooding events up to six hours in advance, with plans to extend the prediction range. The project is a collaboration with the National Weather Service and aims to provide the publi
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Company | Obfuscated Data |
Status
Original status | under development |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
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Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | A Texas A&M University-Corpus Christi student is developing a machine learning model using artificial intelligence to predict flooding on Oso Creek. The model uses precipitation, tidal, and water level data to forecast flooding events up to six hours in advance, with plans to extend the prediction range. The project is a collaboration with the National Weather Service and aims to provide the public and forecasters with more lead time to prepare for floods. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
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Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
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URL | obfuscated_data,obfuscateddata.com |
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