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Notice of Funding Opportunities

Adaptation Sciences (AdSci) Program FY2024
NIDIS Coping with Drought: Building Tribal Drought Resilience with Support from the Inflation Reduction Act (IRA)
Climate Program Office (CPO), Climate Adaptation Partnerships Program FY2024
View all funding opportunities
Image credit: NOAA NOS

Arctic Ocean’s autumn cool down accelerates sea ice formation

The autumn transition in the Arctic’s Beaufort-Chukchi seas is marked by a rapidly cooling ocean surface that leads to early sea ice formation.
Climate variability in North Atlantic to increase dramatically by mid-century
Deep ocean waters near Antarctica are changing and disrupting global ocean circulation
Filling a Data Gap in the Tropical Pacific to Reveal Daily Air-Sea Interactions
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More News

New Adaptable Framework to Assess Nearshore Ocean Dynamics Enables Improved Coastal Management
A new review article, partially funded by the Climate Program Office’s Climate Observations and Monitoring (COM) program, provides a comprehensive adaptable framework to characterize…
New Review Supported by COM Characterizes Plankton, Pollutant, and Particle Transport in Nearshore Regions
A team of researchers partially supported by COM published a comprehensive review article describing the mechanisms driving material transport between the shoreline and continental shelf…
Climate Observations and Monitoring Program 2023 NOFO Q&A Session Recording
The COM program hosted a webinar on August 15, 2022 to address questions about the 2023 NOFO, this session was recorded….
Evaluating Ground-Based Remote Sensing Methods to Measure Planetary Boundary Layer Height
CHEESEHEAD19 Field Campaign produces useful criteria for using a variety of ground-based remote sensing instruments used to measure planetary boundary layer height….
Improved and Expanded Global Ocean Carbon Product Using Machine Learning
Expanded record of air-sea CO2 fluxes created using machine learning techniques improves our ability to model annual changes in the ocean carbon sink….
Using Machine Learning to Combat the Urban Heat Island Effect
In a new COM-funded study, machine learning techniques are used to create a model of heat and carbon processes in the urban environment to provide…
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