The goal of this project is to develop proxy GOES-R data for mesoscale weather and hazard events using a sophisticated cloud model and accurate radiative transfer modeling. ABI radiances will be provided for six case studies, along with the model fields for “ground truth”. These case studies include a severe weather case, a lake effect snow case and two hurricane cases. Also included will be simulations of fire hotspots embedded in the severe weather case as well as an additional fire case in the tropics that contains both cloudy and clear regions. The following link shows the mesoscale simulations:
GOES-R Case Study Database
The project also involves assembling a large tropical cyclone GOES-R proxy database from recent storms. AVHRR and MODIS data for tropical cyclone cases will be provided as proxy GOES-R data for the tropical cyclone intensity algorithm development. The simple version of the Objective Dvorak Technique for hurricane intensity will be applied on the dataset as a preliminary test. The navigation panel on the left provides links to the proxy tropical cyclone data.
As part of our AWG project, synthetic imagery containing fire pixels is being developed at CIRA. An idealized matrix of fires was placed into eastern Kansas; 3.9 um imagery was then produced with and without clouds. Our next step is to simulate the Central American fire event that occurred on 24 April 2004 over the Yucatan Peninsula. Observed fire pixels will be used to obtain the lat/lon of individual fires. This information will be used to place fires into the synthetic 3.9 um imagery. In both the idealized fire case and the 24 April 2004 fire case, synthetic imagery will be used to test and develop fire detection algorithms for GOES-R ABI.
Fire Simulation Case Study Database