Demonstrating the value of Near Real-time GOES-16 Data in a Research and Education Framework
Abstract
A GOES via Terrestrial network Processing and Analysis System (GTPAS) is introduced. The purpose of the GTPAS is to explore the value of near real-time low latency satellite data for research and education in a university setting. The demonstration system includes 4 components: 1) Near real-time data receiving and processing; 2) data analysis and visualization; 3) event detection and monitoring; and 4) information dissemination. Tools are developed and integrated to receive and process real-time GOES 16 data, produce images and value-added data products, and detect and monitor extreme weather events such as hurricane, fire, flooding, fog, lightning, etc. The data received from the terrestrial network are validated with data received directly from NOAA via the NOAA cloud service. Data from the two streams are complementary as the terrestrial network data, with lower latency, helps fill in some missing files from the NOAA cloud service. Currently, the system is designed for a two-month rotating storage of all GOES 16 data (both Earth and space suite) and permanent storage of missing files derived from the terrestrial network. Examples of visualization and analysis tools, such as overlaying lightning data on cloud images, monitoring of severe weather, and tracking of hurricanes will be demonstrated. Comparison of Global Lightning Mapper (GLM) lightning with ground based National Lightning Detection Network (NLDN) showed a detection rate of about 70% for large sample sizes, with a search window of 25km and 3 seconds, and nighttime detection is better than daytime detection. The storm center of Hurricane Irma was tracked on GOES-16 using a pattern analysis technique and the track error is about 20km compared to best tracked data.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFMIN43D0937C
- Keywords:
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- 3360 Remote sensing;
- ATMOSPHERIC PROCESSESDE: 1863 Snow and ice;
- HYDROLOGYDE: 4315 Monitoring;
- forecasting;
- prediction;
- NATURAL HAZARDSDE: 7924 Forecasting;
- SPACE WEATHER