Observing system simulation experiments to assess the potential impact of CubeSats and other small satellite constellations on numerical weather prediction (Conference Presentation)

Robert M. Atlas; Sid Boukabara; Jun Li

doi:10.1117/12.2319861

18 September 2018 Observing system simulation experiments to assess the potential impact of CubeSats and other small satellite constellations on numerical weather prediction (Conference Presentation)

Robert M. Atlas, Sid Boukabara, Jun Li

Author Affiliations +

Proceedings Volume 10769, CubeSats and NanoSats for Remote Sensing II; 1076909 (2018) https://doi.org/10.1117/12.2319861
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

Abstract

The objective of this research is to evaluate the potential for CubeSats and other small satellite constellations to mitigate a potential data gap and/or improve numerical weather forecasts. This is conducted as a collaborative project involving NOAA AOML and NESDIS/STAR, CIMSS, and the University of MD. To this end, a series of Observing System Simulation Experiments (OSSEs) is being conducted. These experiments utilize both global and regional OSSE systems. Specific instruments being evaluated include the CubeSat Infrared Atmospheric Sounder (CIRAS), the Micro-sized Microwave Atmospheric Sounder-2 (MicroMAS-2), the Cyclone Global Navigation Satellite System (CYGNSS), and the Time-Resolved Observations of Precipitation and storm Intensity with a Constellation of Smallsats (TROPICS) mission. The diverse set of OSSEs that have been performed to date show potential for each of these systems to mitigate a data gap and to contribute to improved prediction and begin to quantify their relative impacts.

Conference Presentation

Citation Download Citation

Robert M. Atlas, Sid Boukabara, and Jun Li "Observing system simulation experiments to assess the potential impact of CubeSats and other small satellite constellations on numerical weather prediction (Conference Presentation)", Proc. SPIE 10769, CubeSats and NanoSats for Remote Sensing II, 1076909 (18 September 2018); https://doi.org/10.1117/12.2319861

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