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OMB Individually Reported

Quantifying Watershed Controls on Fine Sediment Flux to Lake Tahoe, California/Nevada [2024 INV#WO0000000109215]

Low riskExact public inventory row

Description

estimate watershed parameters of importance that drive sediment flux

Detailed example

quantified watershed parameters

AI / analytics pattern

Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.

Automation level / stage

b) Pilot – The use case has been deployed in a limited test or pilot capacity.

Expected benefit

Ability to better estimate watershed parameters of importance that drive sediment flux.

Controls / human review

ATO: No; PIA: Not published

Data needed

Stage and turbidity from NWIS, water balance variables from Western Land Data Assimilation (NASA) land surface model

Source

OMB 2025 Federal Agency AI Use Case Inventory

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