Advancing scientific understanding of climate, improving society’s ability to plan and respond
Advancing scientific understanding of climate, improving society’s ability to plan and respond
Researchers supported by AC4 conduct observations over 9 months to examine pollution sources that lead to secondary organic aerosol production in Atlanta.
Characterizing Atmospheric Volatile Chemical Product Pollution Sources in Atlanta Read More »
The COM program hosted a webinar on August 15, 2022 to address questions about the 2023 NOFO, this session was recorded.
Climate Observations and Monitoring Program 2023 NOFO Q&A Session Recording Read More »
This new AC4-supported study produces a detailed comparative analysis of oxidation reactions that break down certain molecules into secondary organic aerosols, which impact air quality, climate, and human health.
AC4 funded research uses unprecedented field measurements to gather data on real-world vehicular and non-vehicular volatile organic compound (VOC) emissions to characterize emission rates and oxidative aging of various types of organic pollutants and greenhouse gases in the Greater New York City Metropolitan Area.
The NOAA/OAR Climate Program Office’s AC4, ERB and CVP Programs will host an info session on Wednesday, July 26th from 1:00 to 2:00 p.m. ET on our programs and new funding opportunities.
NOAA/OAR Climate Program Office’s AC4, ERB and CVP Programs 2023 NOFO Q&A Read More »
Approximately $11.1 million will be available in FY23 to start new awards in about six different topic areas, pending budget appropriations.
NOAA Climate Program Office’s 2023 funding opportunity is now open Read More »
The NOAA Climate & Global Change Postdoctoral Fellowship Program held a successful 2022 Summer Institute, fostering collaboration and idea sharing to improve research and actionable science.
A new CVP-supported study uses a Weather Research and Forecasting model of Super Typhoon Yutu to improve the understanding of the process of rapid intensification within tropical cyclones.
CHEESEHEAD19 Field Campaign produces useful criteria for using a variety of ground-based remote sensing instruments used to measure planetary boundary layer height.
Expanded record of air-sea CO2 fluxes created using machine learning techniques improves our ability to model annual changes in the ocean carbon sink.
Improved and Expanded Global Ocean Carbon Product Using Machine Learning Read More »