Compact Midwave Imaging System (CMIS) for retrieval of cloud motion vectors (CMVs) and cloud geometric heights (CGHs)

Michael A. Kelly; Dong Wu; Arnold Goldberg; Ivan Papusha; John Wilson; James Carr; John Boldt; Jacob Greenberg; Frank Morgan; Sam Yee; Andrew Heidinger; Lauren Mehr

doi:10.1117/12.2324612

22 October 2018 Compact Midwave Imaging System (CMIS) for retrieval of cloud motion vectors (CMVs) and cloud geometric heights (CGHs)

Michael A. Kelly, Dong Wu, Arnold Goldberg, Ivan Papusha, John Wilson, James Carr, John Boldt, Jacob Greenberg, Frank Morgan, Sam Yee, Andrew Heidinger, Lauren Mehr

Author Affiliations +

Proceedings Volume 10776, Remote Sensing of the Atmosphere, Clouds, and Precipitation VII; 107760D (2018) https://doi.org/10.1117/12.2324612
Event: SPIE Asia-Pacific Remote Sensing, 2018, Honolulu, Hawaii, United States

Abstract

The Johns Hopkins University Applied Physics Laboratory (JHU/APL) is developing a compact, light-weight, and lowpower midwave-infrared (MWIR) imager called the Compact Midwave Imaging Sensor (CMIS), under the support of the NASA Earth Science Technology Office Instrument Incubator Program. The goal of this CMIS instrument development and demonstration project is to increase the technical readiness of CMIS, a multi-spectral sensor capable of retrieving 3D winds and cloud heights 24/7, for a space mission. The CMIS instrument employs an advanced MWIR detector that requires less cooling than traditional technologies and thus permits a compact, low-power design, which enables accommodation on small spacecraft such as CubeSats. CMIS provides the critical midwave component of a multi-spectral sensor suite that includes a high-resolution Day-Night Band and a longwave infrared (LWIR) imager to provide global cloud characterization and theater weather imagery. In this presentation, an overview of the CMIS project, including the high-level sensor design, the concept of operations, and measurement capability will be presented. System performance for a variety of different scenes generated by a cloud resolving model (CRM) will also be discussed.

Citation Download Citation

Michael A. Kelly, Dong Wu, Arnold Goldberg, Ivan Papusha, John Wilson, James Carr, John Boldt, Jacob Greenberg, Frank Morgan, Sam Yee, Andrew Heidinger, and Lauren Mehr "Compact Midwave Imaging System (CMIS) for retrieval of cloud motion vectors (CMVs) and cloud geometric heights (CGHs)", Proc. SPIE 10776, Remote Sensing of the Atmosphere, Clouds, and Precipitation VII, 107760D (22 October 2018); https://doi.org/10.1117/12.2324612

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