A014-02
Constructing Shortwave GOES-16 Synthetic Imagery at Night
Monday, 7 December 2020: 05:42
Virtual
Allyson Rugg, National Center for Atmospheric Research, Boulder, CO, United States, Julie Anne Haggerty, National Center for Atmospheric Research, Earth Observing Laboratory, Boulder, CO, United States and Dan Adriaansen, National Center for Atmospheric Research, Boulder, United States
Abstract:
Shortwave (SW) GOES-16/-17 imagery provides valuable information to human forecasters/scientists and automated weather guidance algorithms, but is unavailable at night due to the lack of solar radiation. The technique presented constructs real-time synthetic SW imagery of clouds at night using real-time longwave (LW) imagery and the relationships between LW and SW observations during the previous day. This allows for continuity of SW imagery through day, night, and satellite terminator hours and could enhance real-time weather guidance tools such as the Current Icing Product (CIP) used for aircraft icing detection. The method uses a kd-tree nearest-neighbor search and is adapted from previous works using satellite sounder and imager data to construct imager-resolution data at sounder-only wavelengths (Cross et al., 2013; Weisz et al., 2017; Weisz and Menzel, 2019). To validate results, the technique is applied during the day and the synthetic imagery is compared to observed imagery (Figure 1). Mean errors for the synthetic imagery vary from about 10% to 1% normalized albedo for different SW channels. Errors are generally worse in the winter than summer, likely due to contamination from snow/ice cover beneath optically thin clouds in the daytime training imagery.
This research is in response to requirements and funding by the Federal Aviation Administration (FAA). The views expressed are those of the authors and do not necessarily represent the official policy or position of the FAA.
Cross, J. H., I. Gladkova, W. P. Menzel, A. K. Heidinger, and M. D. Grossberg, 2013: Statistical estimation of a 13.3 μm Visible Infrared Imaging Radiometer Suite channel using multisensor data fusion. J. Appl. Remote Sens. 7 (1), 073473.
Weisz, E., B. A. Baum, and W. P. Menzel, 2017: Fusion of satellite-based imager and sounder data to construct supplementary high spatial resolution narrowband IR radiances. J. Appl. Remote Sens., 11 (3), 036022.
Weisz, E., and W. P. Menzel, 2019: Imager and sounder data fusion to generate sounder retrieval products at an improved spatial and temporal resolution. J. Appl. Remote Sens. 13 (3).
