2452159
Cooperative Agreement
Overview
Grant Description
NSF Convergence Accelerator Future Water Systems: TEALWATERS - Mapping and modeling the nation's wetlands and their benefits to enhance water access and community resilience - TEALWATERS maps current and past wetlands and illustrates their value.
Communities across the United States and around the world face an urgent need for tools to effectively manage water on the landscape.
Recognized as the kidneys of the planet, wetlands capture and slow floodwaters, store surface water, and recharge groundwater - all while filtering pollution, supporting biodiversity, storing carbon, and more.
Yet over 50% of wetlands in the United States and worldwide have been lost, along with the knowledge of where wetlands were.
TEALWATERS' groundbreaking platform builds on decades of advances across twelve scientific disciplines (e.g. remote sensing, geomorphology, hydrology, wetland ecology, AI/machine learning) to identify where wetlands are, the diverse benefits they provide, and where they have potential to be restored to regain those functions.
TEALWATERS' interactive web-map platform, open source analytical tools, and custom products allow natural resource professionals, policymakers, scientists, and citizens to ask and answer questions and explore scenarios (e.g. which restoration opportunities would best mitigate flooding or enhance water quality) to make informed decisions.
TEALWATERS' ultimate goal is to increase communities' resilience by providing urgently needed, accessible, scientifically advanced tools.
The foundation of the project's platform is the Wetland Intrinsic Potential (WIP) spatial data layer which gives the continuous probability of wetland extent across a landscape.
WIP is based on a predictive model that combines physical, hydrologic, and ecological landscape information at multiple scales with on-the-ground knowledge and data.
A major breakthrough is its ability to incorporate hidden geomorphic and hydrologic features, allowing users to see many smaller wetlands that are missed on other maps and identify the potential for wetland restoration based on where they might have existed in the past.
On this foundation, TEALWATERS' software layers scientific workflows for mapping and modeling specific wetland functions and develops these workflows into products implemented in the cloud.
Wetland features may be combined with other user-specified datasets to identify sites for wetlands protection, creation, and restoration based on user priorities.
For wetland managers, planners, policymakers, and communities, TEALWATERS' platform radically expands the sophistication of, and access to, advanced tools for making decisions about how to manage water on the landscape.
The products will also open new avenues of scientific idea generation, mechanistic prediction and hypothesis testing, integrative modeling, and vision-inspired new research.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.
Subawards are planned for this award.
Communities across the United States and around the world face an urgent need for tools to effectively manage water on the landscape.
Recognized as the kidneys of the planet, wetlands capture and slow floodwaters, store surface water, and recharge groundwater - all while filtering pollution, supporting biodiversity, storing carbon, and more.
Yet over 50% of wetlands in the United States and worldwide have been lost, along with the knowledge of where wetlands were.
TEALWATERS' groundbreaking platform builds on decades of advances across twelve scientific disciplines (e.g. remote sensing, geomorphology, hydrology, wetland ecology, AI/machine learning) to identify where wetlands are, the diverse benefits they provide, and where they have potential to be restored to regain those functions.
TEALWATERS' interactive web-map platform, open source analytical tools, and custom products allow natural resource professionals, policymakers, scientists, and citizens to ask and answer questions and explore scenarios (e.g. which restoration opportunities would best mitigate flooding or enhance water quality) to make informed decisions.
TEALWATERS' ultimate goal is to increase communities' resilience by providing urgently needed, accessible, scientifically advanced tools.
The foundation of the project's platform is the Wetland Intrinsic Potential (WIP) spatial data layer which gives the continuous probability of wetland extent across a landscape.
WIP is based on a predictive model that combines physical, hydrologic, and ecological landscape information at multiple scales with on-the-ground knowledge and data.
A major breakthrough is its ability to incorporate hidden geomorphic and hydrologic features, allowing users to see many smaller wetlands that are missed on other maps and identify the potential for wetland restoration based on where they might have existed in the past.
On this foundation, TEALWATERS' software layers scientific workflows for mapping and modeling specific wetland functions and develops these workflows into products implemented in the cloud.
Wetland features may be combined with other user-specified datasets to identify sites for wetlands protection, creation, and restoration based on user priorities.
For wetland managers, planners, policymakers, and communities, TEALWATERS' platform radically expands the sophistication of, and access to, advanced tools for making decisions about how to manage water on the landscape.
The products will also open new avenues of scientific idea generation, mechanistic prediction and hypothesis testing, integrative modeling, and vision-inspired new research.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.
Subawards are planned for this award.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF CONVERGENCE ACCELERATOR PHASES 1 AND 2 FOR THE 2023 COHORT - TRACKS K, L, M", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF23590
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Seattle,
Washington
98107-2551
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 100% from $2,000,000 to $4,000,000.
Terrainworks was awarded
TEALWATERS: Wetlands Mapping for Water Resilience
Cooperative Agreement 2452159
worth $4,000,000
from National Science Foundation in May 2025 with work to be completed primarily in Seattle Washington United States.
The grant
has a duration of 3 years and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
The Cooperative Agreement was awarded through grant opportunity NSF Convergence Accelerator Phases 1 and 2 for the 2023 Cohort - Tracks K, L, M.
Status
(Ongoing)
Last Modified 7/6/26
Period of Performance
5/15/25
Start Date
4/30/28
End Date
Funding Split
$4.0M
Federal Obligation
$0.0
Non-Federal Obligation
$4.0M
Total Obligated
Activity Timeline
Transaction History
Modifications to 2452159
Additional Detail
Award ID FAIN
2452159
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491502 INNOVATION AND TECHNOLOGY ECOSYSTEMS
Funding Office
491502 INNOVATION AND TECHNOLOGY ECOSYSTEMS
Awardee UEI
K49XBNRSJY57
Awardee CAGE
75YK1
Performance District
WA-07
Senators
Maria Cantwell
Patty Murray
Patty Murray
Modified: 7/6/26