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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
Rainfall

Improving extreme rainfall predictions: the limits of high-resolution climate models

Arctic Ocean’s autumn cool down accelerates 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
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More News

Improving our Understanding of Satellite Observation Sampling Error in Salinity Data
New study supported by COM, CVP, and GOMO partnership quantifies and characterizes the sampling error for satellite observations of sea surface salinity to be used…
Mississippi River Basin Flooding Predictability Improved by Linking Patterns in the tropical Pacific and North Atlantic
Improvements in flood predictability along the Mississippi River by a COM-funded study use a high-quality dataset spanning the past 1,000 years to link tropical Pacific…
Improved Predictability of Sea Ice Break-Up and Freeze-Up for Arctic Coastal Communities and Ecosystems
A new COM-funded Arctic sea ice study improves predictions of sea ice freeze-up and break-up in coastal regions by identifying local indicators….
Model Results Help Shed Light on Oceanic Drivers of Heat Waves
New study funded by COM improves the understanding of oceanic drivers of the 2014-2016 heat wave on the US West Coast….
Improving Climate Understanding and Information for Marine Sanctuary Management Planning

CPO’s Climate Observations and Monitoring (COM) Program, in collaboration with the Modeling, Analysis, Prediction, and Projections (MAPP) Program and Climate and Societal Interactions (CSI) Division is announcing seven new three-year…

Improving Understanding and Predictability of Agricultural Water Withdrawal Using Long-Term Observation Datasets
A new COM-funded study uses long-term datasets to characterize and improve predictability of agricultural water withdrawal across the contiguous US….
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