Emissions of a Banned Ozone-depleting Gas are Back on the Decline 9 February 2021

Emissions of a Banned Ozone-depleting Gas are Back on the Decline

Discovery in 2018 posed first real test of the Montreal Protocol

New analyses of global air measurements show that five years after an unexpected spike in emissions of the banned ozone-depleting chemical chlorofluorocarbon CFC-11, they dropped sharply between 2018 and 2019.
The Benefits of Measuring Greenhouse Gases using Light Rail Public Transit 22 December 2020

The Benefits of Measuring Greenhouse Gases using Light Rail Public Transit

Can semi-continuous carbon dioxide measurements taken from an instrument placed on top of a mobile light rail tram usefully improve urban emission estimates? Researchers, funded in part by CPO’s Atmospheric Chemistry, Carbon Cycle, & Climate (AC4) program, demonstrate not only that the measurements improve emission estimates but also that the measurements better capture spatial differences in emissions. 

U.S. Methane “Hotspot” is Snapshot of Local Pollution 25 November 2020

U.S. Methane “Hotspot” is Snapshot of Local Pollution

Supported in part by CPO’s Atmospheric Chemistry, Carbon Cycle, and Climate (AC4) Program, scientists from two University of Colorado institutes and NOAA participated in an intensive field campaign that used instrumented aircraft and vans to investigate the causes or sources of a methane hotspot in the U.S. Southwest. 

New Technical Report: A Value Assessment of an Atmospheric Composition Capability on the NOAA Next-Generation Geostationary and Extended Orbits (GEO-XO) Missions 4 November 2020

New Technical Report: A Value Assessment of an Atmospheric Composition Capability on the NOAA Next-Generation Geostationary and Extended Orbits (GEO-XO) Missions

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. 

Machine Learning Reveals Top Environmental Predictors for Wildfire in South Central United States 26 October 2020

Machine Learning Reveals Top Environmental Predictors for Wildfire in South Central United States

Researchers funded in part by AC4 have developed a fire prediction model which incorporates multiple machine learning algorithms to better predict areas burned by wildfire in the US south central region.

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Americans’ health, security and economic wellbeing are tied to climate and weather. Every day, we see communities grappling with environmental challenges due to unusual or extreme events related to climate and weather.