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WaterSMART-Applied Science Grants for Fiscal Year 2023

Sector: Commercial • Location: United States of America

Source: Grants.gov

Project
Closed

The objective of this NOFO is to invite eligible non-Federal entities to leverage their money and resources by cost sharing with Reclamation on applied science projects (Project) to improve access to and use of hydrologic data, develop and improve water management tools, improve modeling and forecasting capabilities. Results from these projects will be used by water managers to increase water supp

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The project “WaterSMART-Applied Science Grants for Fiscal Year 2023” is an infrastructure initiative in the Commercial sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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Participants

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Status

Original status

closed

Taiyo status

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Taiyo last update

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Email

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Description

Description

The objective of this NOFO is to invite eligible non-Federal entities to leverage their money and resources by cost sharing with Reclamation on applied science projects (Project) to improve access to and use of hydrologic data, develop and improve water management tools, improve modeling and forecasting capabilities. Results from these projects will be used by water managers to increase water supply reliability, provide flexibility in water operations, improve water management, and support nature-based solutions. Project results must be readily applicable by managers—resulting in tools and information that can be used to support: water supply reliability, water delivery management, water marketing activities, drought management activities, conjunctive use of ground and surface water, water rights administration, ability to meet endangered species requirements, watershed health, conservation and efficiency, support for nature-based solutions and other water management objectives.Note: Projects that support nature-based solutions have been added to the NOFO objectives in this announcement.

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Original Currency

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Original budget

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Source

Source reliability

High

Data quality score

100%

Source

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URL

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More Details

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