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
The session will be held in February 2023 and will serve to expand CPO’s work with national marine sanctuaries and MPAs to an international forum by leveraging CPO’s world-class climate communication’s program and the experience gained through over two years of the Marine Ecosystem Risk Team Initiative.
MERT has session accepted for 5th International Marine Protected Areas Congress (IMPAC5) Read More »
By Xinyi Zeng, Science Communications Specialist New research in the Journal of Geophysical Research: Atmospheres found that low, fair-weather, cumulus clouds stimulate stronger surface energy exchange in comparison to other sky conditions over a forested landscape in northern Wisconsin. CIRES scientist Joseph Sedlar led the research along with a team of scientists from CIRES, NOAA
The ocean plays a significant role in absorbing CO2. This research will help us better understand the ocean’s role in climate and improve the detection of change in the ocean and atmosphere to advance NOAA’s mission.
COMs research featured prominently at the recent AMS Meeting.
CPO’s COM Program at AMS 2022 Annual Meeting Read More »
Two new publications highlight CPO’s continued support for research in the marine ecosystem risk area.
New Publications on the Climate & Ecology of the California Current System Read More »
A newly developed climatology dataset could help construct seasonal cycles for the northern California Current system off the coast of Newport, Oregon.
New Dataset from Shipboard Survey Data Along the Newport Hydrographic Line Read More »
New research explores long-term changes in short-term climate variability.
Is Climate Change Increasing Weather Whiplash? Read More »
This new review paper presents the state of the science on tropical cyclone frequency: what we know, what remains to be figured out, and why numerical models are helping us get there.
State of the Science on Tropical Cyclone Frequency Read More »
Researchers used machine learning to quantify and correct for the uncertainties associated with satellite precipitation products, especially in the case of rainfall over mountainous regions.
Machine Learning Bias Correction for Satellite Precipitation Data Products Read More »
A new framework helps explain why the Atlantic hurricane season is most intense, or sharp, between August and October.
Why are Hurricanes So Sharp? Read More »