The goal of this two-year NOAA/BIL-funded project is to develop and demonstrate an optimal artificial intelligence (AI) approach to quality control water level observations collected by tide gauges

Ended Cooperative Agreement Awarded Last action

Award ID
NA24NWSX405C0001
Recipient
Awarding agency
Obligated
$512,460

Award facts

Completion date
Place of performance
Tuscaloosa, AL 35487, USA

Award details come from USAspending.gov.

Description

The overall goal is to advance the state of the art in automated quality control improvements of measured real-time and historical time series data. This project will lead to the development of an AI-based approach that will: 1) accurately classify 6-minute water level observations from NOAA stations as good or bad, with accurate classification of bad data weighted heavily, 2) replace bad data points and fill gaps in the resultant time series with backup sensor data or other data and methods comparable to standard protocols and 3) have the potential to be adapted to partner-collected water level observations. The developed method will benefit the gulf coast ocean observing system, regional associations, and many other partners to improve the quality control capability and efficiency of partner-collected water level observations.

Transactions

Action Obligated Date
Amendment $0
Amendment $162,000
Amendment $175,230
Original award $175,230

Subawards

Subrecipient Amount Awarded
Texas A & M University CIROH Master Proposal Project BIL5: AI Methods for the Quality Control of Water Level Observations supported by Bipartisan Infrastructure Law (BIL) funding $300,000

Quick answers

Who received award NA24NWSX405C0001?

NA24NWSX405C0001 was awarded to University Of Alabama by National Oceanic and Atmospheric Administration (Department of Commerce) on July 1, 2024.

How much is award NA24NWSX405C0001 worth?

$512,460 has been obligated on NA24NWSX405C0001.

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