edu.ucar.opensky::technotes:578 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-25T15:32:03.294133 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7vq35sn Quantifying the Spatial Structure of Tropical Cyclone Imagery 2019-06-14T00:00:00Z publication https://n2t.org/ark:/85065/d7vq35sn https://doi.org/10.5065/5frb-ws04 McNeely, T. author Lee, A. B. author Hammerling, Dorit author Wood, K. author UCAR/NCAR - Library publisher Tropical cyclones are highly organized, rotating storms which rank among the most costly natural disasters in the United States. The processes which drive intensification and weakening of such storms are still not fully understood, particularly when these intensity changes occur on short time scales. The physical and environmental factors used in intensity prediction schemes often do not consider the spatial structure of the storm and, taken alone, are inadequate for describing the evolution of storms during rapid intensity change events. Since tropical cyclones generally form far from land-based observing networks, we often rely on satellite observations to assess these storms, particularly infrared observations that reveal cloud top temperatures as a proxy for strength of convection in these storms. In addition, advances in satellite instrumentation has continued to improve the spatial and temporal resolution of these observations. To take advantage of this information, we develop a suite of features which quantify the spatial structure of convection within the storm via infrared brightness temperature data from the Geostationary Operational Environmental Satellites. These features target the bulk morphology, core structure, and overall organization of the storm to provide a rich, interpretable description of the spatial structure of convection within the storm. This quantification provides a foundation for applying powerful but otherwise hard-to-interpret machine learning techniques to further our understanding of the physical processes behind rapid intensity change in tropical cyclones and support future improvements in forecasting such changes. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Tropical oceanic cloud systems Statistical applications Tropical cyclones Image processing theme U.S. National Aeronautics and Space Administration Global Change Master Directory GCMD 2021-09-17 revision 11.2 NASA Global Change Master Directory originator Valids List: Science and Services Keywords Copyright Author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. None eng geoscientificInformation