Visualization of a predictive model for weather hazards

Screenshot of the NOAA visualization of modeling weather hazards

The National Oceanic and Atmospheric Administration's (NOAA) Geophysical Fluid Dynamics Laboratory (GFDL) has created a visualization of their high-resolution global ocean-atmosphere-land-ice FLOR model. The FLOR model uses ocean, atmospheric, and other water-related data to improve understanding and prediction of the range of climate extremes. The outputs of the FLOR model have been used to understand predictability, change, and mechanisms of a range of climatic events including tropical cyclones, drought, rainfall and temperature over land, and changes in Arctic sea ice.

This visualization applies the FLOR model to the Atlantic Ocean to show how the model can be used to help scientists understand the conditions that create unique weather events, like Superstorm Sandy, helping to inform more accurate weather hazard prediction and response efforts.

Click here to use the NOAA-GFDL visualization of Atlantic weather hazards.

Source: NOAA's Geophysical Fluid Dynamics Laboratory