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
Research funded by two AC4 awards used observations from three long-term networks to update or “constrain” the chemical transport model mechanisms to more accurately represent the indirect formation and month-to-month variability of organic aerosol in the US southeast.
Long-Term Field Observations Lead to New Insights in the Formation of Organic Aerosols Read More »
This work, funded by CPO’s Climate Variability & Predictability (CVP) program as part of NOAA’s contributions to the Tropical Pacific Observing System (TPOS) process studies, demonstrates how increasing the vertical resolution of ocean models can reduce commonly observed biases in the two regions.
Reducing Temperature Biases in Tropical Ocean Models Read More »
This study, supported by Climate Variability & Predictability, is the first to study how surfactants impact sea spray in regards to cylcones, the understanding of which could help improve model microphysics, leading to better forecasts that are more likely to capture rapid intensification of cyclones.
Relying on both classical statistical techniques as well as new machine learning approaches, this project funded in part by Atmospheric Chemistry, Carbon Cycle, & Climate presents a new model for predicting the mass of black carbon in the atmosphere that can be used with inputs commonly collected at most long-term monitoring sites.
Predicting the Mass Concentration of Black Carbon in the Atmosphere Read More »
Research supported by the Climate Variability & Predictability program suggests that a common proxy for understanding AMOC trends, sea surface temperature indices, are not the best choice at the centennial scale, opening the door for new indices to be developed.
Are Sea Surface Temperature Indices the Right Proxy for 100-year Trends in AMOC? Read More »
This study, funded in part by Atmospheric Chemistry, Carbon Cycle, & Climate (AC4), investigates the relationship between primary and secondary sources of organic aerosols over the lifetime of a wildfire plume, finding at least half of the secondary sources are the result of evaporation of the primary sources.
Climate Observations and Monitoring (COM)-supported research provides evidence to reconcile a long-standing debate on identifying the mechanisms underlying the Atlantic Multidecadal Variability.
Researchers supported in part by CPO’s Atmospheric Chemistry, Carbon Cycle, & Climate (AC4) program have collected new aerosol data at two coastal sites on the North Slope of Alaska. Their work, combined with past data from NOAA, reveals that sulfur aerosol concentrations continue to increase at more than 2% per year.
Marine Sulfur Aerosols Increase in the Alaskan Arctic Read More »
Two new studies supported by the Climate Variability & Predictability (CVP) program offer data-driven insights into the Madden-Julian Oscillation (MJO), the dominant mode of tropical intraseasonal variability.
Two Studies Illustrate Data-driven Understanding of Madden-Julian Oscillation (MJO) Read More »
Published as a NOAA Technical Report, this white paper identifies the NOAA mission requirements, stakeholder mandates, and seven science and operational application areas that will benefit from geostationary satellite instruments providing atmospheric composition products.