Understanding the MJO in a Future Warmer Climate
A research team funded in part by CPO’s MAPP and CVP Programs investigate the effect of global warming on the MJO.
Understanding the MJO in a Future Warmer Climate Read More »
Climate Variability & Predictability (CVP)
Linking Latitudes
Over the past 40 years, the Arctic sea ice minimum in September has declined, with 2007 to 2012 showing accelerated melt. However, this has been followed by a puzzling slowdown in sea ice decline more recently despite steady increases in greenhouse gas emissions. A team of scientists, funded in part by CPO’s Climate Variability and Predictability Program, believes they have resolved part of the puzzle.
Observing and Understanding Air-Sea Interactions in the Tropical Atlantic Ocean
NOAA CPO’s Climate Variability and Predictability (CVP) Program is announcing 10 new 3-year projects in Fiscal Year (FY) 2019 that aim to improve understanding of how the ocean surface and lower atmosphere interact in the Northwest Tropical Atlantic. Although this region has a strong connection to the development of Tropical events, details of the local
Observing and Understanding Air-Sea Interactions in the Tropical Atlantic Ocean Read More »
Climate Process Teams – Transferring Understanding of Ocean and Atmospheric Processes into Climate Model Improvements
NOAA’s Climate Variability and Predictability (CVP) Program, in partnership with the National Science Foundation (NSF) and the Department of Energy (DOE), is announcing three new three-year Climate Process Team projects. These projects aim to accelerate improvements in representing oceanic and atmospheric processes in climate models through interdisciplinary research teams. The competitively selected projects total $2.3
NOAA’s Climate Program Office awards $22.8M to advance climate understanding and prediction, enhance resilience
NOAA’s Climate Program Office (CPO), part of NOAA’s Office of Oceanic and Atmospheric Research, is announcing a total of $22.8 million in competitive awards to support 62 new projects 1. The diverse set of new projects ranges from explaining long-term trends in atmospheric composition to supporting resiliency in fishing communities. Universities and other research institutions spread
ESSM to host community workshop on extreme heat research
The November 18-19 workshop will bring together stakeholders and scientists to identify opportunities for ESSM’s programs to support climate research that enhances resilience to extreme heat.
ESSM to host community workshop on extreme heat research Read More »
NOAA’s Climate Variability and Predictability Funds Eight New Projects in Support of TPOS Process Studies
NOAA’s Climate Variability and Predictability (CVP) Program is funding eight new projects (10 academic awards, four NOAA Lab, Center or CI awards) for a two-year total of $3.961 million in FY18 intended to contribute to the goals of TPOS 2020.
Observing and Understanding Processes Affecting the Propagation of Intraseasonal Oscillations in the Maritime Continent Region
NOAA’s Climate Variability and Predictability (CVP) program is announcing 14 new three-year projects in FY17 that aim to improve understanding of processes that affect the propagation of intraseasonal oscillations—specifically the Madden-Julian Oscillation (MJO)—in the Maritime Continent and broader regions. The competitively selected programs total $7.4 million, including $4.8 in grants and $2.6 in other awards.
Coupling between marine boundary layer clouds and summer-to-summer sea surface temperature variability over the North Atlantic and Pacific
A study published in Climate Dynamics highlights the importance of boundary layer clouds in interannual to interdecadal atmosphere-ocean variability, as well as their influence in sea surface temperature simulations.
Climate impacts of Atlantic Multidecadal Variability
A CPO-supported study analyzed this mode of variability, which can lead to improved rainfall predictions in the tropics and across the subtropics—including the United States.
Climate impacts of Atlantic Multidecadal Variability Read More »