Tropical Cyclones
Research Categories | All Research Projects
We research and develop new methods for observing and understanding tropical cyclones, how they develop, strengthen, and weaken, and how we can better monitor and track these systems to keep our communities safe. Using Artificial Intelligence with geostationary and low-Earth orbiting satellite data, we develop new hurricane prediction tools that are used worldwide.
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Morphed Integrated Microwave Imagery at CIMSS – Total Precipitable Water (MIMIC-TPW)
MIMIC-TPW is a technique that combines microwave observations from polar orbiting satellites to create near-seamless hourly imagery of global total precipitable water (TPW).
Contact:
Tony WimmersCategories:
Modeling and data assimilation, Tropical CyclonesSponsors:
NOAA -
Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats (TROPICS)
The Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats (TROPICS) project employs 4 nanosatellites called CubeSats to study tropical cyclones via rapid sampling microwave observations. The CIMSS Tropical Cyclone research group is charged with developing methods to estimate storm intensity from this data.
Contact:
Derrick HerndonCategories:
Low-Earth Orbiting Satellites, Tropical CyclonesSponsors:
NASA -
Tropical Cyclone ML/AI Research (TC ML/AI)
CIMSS scientists have been investigating how they can use AI to improve short-term forecasts of hurricanes, and in particular their intensity.
Contact:
Tony Wimmers, Sarah Griffin -
Tropical Cyclone Research
The CIMSS Tropical Cyclone Research group develops satellite-derived products to improve the analysis and prediction of tropical cyclones, leading to a better understanding of storm behavior and more timely and effective warnings.
Website:
http://tropic.ssec.wisc.edu/Contact:
Derrick Herndon, Tony WimmersCategories:
Hazards, Tropical Cyclones