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
COM/CVP/GOMO supported research team releases a new data product providing global plankton community size structure observations to benefit biogeochemical modeling.
New Global Plankton Data Product to Link Climate and Fisheries in Global Models Read More »
MAPP-funded research shows that the inclusion of zooplankton biomass in models could improve models’ representation of ocean biogeochemistry.
A comparative analysis of CMIP6 models and their representation of wind-turning reveals underestimation across the board, in a new Climate Process Team study supported by CVP.
How Well do CMIP6 Models Represent Important Wind Flow in the Boundary Layer? Read More »
New model diagnostics promise to help improve models and predictions of U.S. seasonal to multi-year climate.
New El Niño model analysis advances key source of prediction skill Read More »
A new study funded by AC4 uses multiple observational datasets and a GFDL model to improve our understanding of how human activities can lead to harmful atmospheric aerosol production.
Contributions to Aerosol Production from Human Activity Sources Read More »
CPO, GFDL and NWS representatives joined other climate modeling leaders to coordinate national goals and objectives at the ninth annual US Climate Modeling Summit workshop and meeting on April 24-26, 2023 at the NOAA/OAR Geophysical Fluid Dynamics Laboratory.
NOAA Participates in the Ninth Annual US Climate Modeling Summit Read More »
NOAA’s MAPP Model Diagnostics Task Force (MDTF) has developed a new approach to accelerate the development of increasingly realistic models.
Measuring Progress On The Path to Improving NOAA Prediction Models Read More »
Research funded by CPO’s Climate Variability and Predictability (CVP) and published in the Journal of Climate found that increased carbon dioxide suppresses variability of the Atlantic Meridional Overturning Circulation (AMOC) in GFDL ESM2M simulation.
Increased carbon dioxide suppresses AMOC variability in GFDL ESM2M simulation Read More »