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
New research finds that internal atmospheric variability plays a role alongside anthropogenic greenhouse gases in the warming of the upper Arctic Ocean over the last forty years.
Summertime Atmospheric Processes Play a Role in Arctic Ocean Warming Read More »
The Climate Model Development Task Force’s has been working for over three years to advance NOAA’s climate models in support of improved sub-seasonal to seasonal predictions.
Report: Advancing NOAA’s climate models Read More »
A new NOAA report describes high-priority recommendations to improve the way NOAA develops and operates models.
NOAA publishes agency-wide framework to optimize and accelerate modeling Read More »
A new OAR/Climate Program Office (CPO) Report, summarizing key outcomes of the May 2015 NOAA Climate Reanalysis Task Force Technical Workshop held at the NOAA Center for Weather and Climate Prediction in College Park, Maryland, has just been published.
Reanalysis and reforecast data from NOAA’s premiere forecast system are now fully available for the public’s use.
Completion of Climate Forecast System Version 2 Archive Read More »
In a new study published in the Journal of the Meteorological Society of Japan, Xie et al. address the continued role of the Zebiak-Cane coupled model in ENSO forecasting.
El Niño modeling improvements introduced to Zebiak-Cane model Read More »
CORE-II is the Coordinated Ocean-ice Reference Experiments are a CLIVAR model intercomparison effort that examines a group of global ocean-sea ice models under a common atmospheric state to facilitate improved understanding and modeling of the ocean.
New CVP-supported research reports on AMOC experiments for CORE-II Read More »
Predictions at the seasonal to sub-seasonal scale are important for planning and decision-making in a variety of disciplines, and improving understanding and model skill at this timescale is a key research priority. An as yet underexplored approach to sub-seasonal prediction using data science and graph theory methods that are increasingly common to other fields outside of meteorology and climate science shows potential to improve predictions at this challenging timescale.
A new paper in the Journal of Geophysical Research: Oceans explores the ability of 2-dimensional and 3-dimensional storm surge models to simulate current, sediment transport, and the effects of vegetation on storm surge.
Coastal resiliency planning with 3D storm surge models-an improvement over 2D models? Read More »
If Toto had been a group of climate modelers instead of a band, the song “Africa” might have informed listeners that East Africa has two rainy seasons–long rains from March to May and short rains from October to December.