327 Transitioning the Enterprise Winds Algorithm to Multiple Operational Platforms

Monday, 11 January 2016
Tianxu Yu, IMSG, College Park, MD; and M. Fan, S. Sampson, J. E. Wrotny, A. Li, H. Xie, R. Chen, W. Wolf, J. Daniels, W. Straka, and A. K. Heidinger

The Enterprise Derived Motion Winds (DMW) is an algorithm developed by NOAA/NESDID/STAR to retrieve environmental variables such as wind speed and wind direction. This algorithm has been implemented within the STAR Algorithm Processing Framework (SAPF) originally designed for GOES-R and adapted to run on Suomi-NPP Data Exploitation (NDE) and Consolidated High-throughput Operational Products System (CHOPS) operational processing system. The DMW on NDE uses gridded VIIRS IR channel data as inputs to retrieve wind parameters over polar regions, while the DMW on CHOPS retrieves wind variables using GOES13, 14, or 15 visible or IR channel data over domain CONUS, NOHEM, SOHEM, PACUS. Since SAPF is designed and developed to be a ‘plug and play' system, it provides us with flexibility to select different ancillary data and algorithms required to run DMW. Updates to DMW source codes for it to run on different satellite data majorly focus on developing a new reader to ingest radiance, reflectance and brightness temperature into SAPF and plugging in navigation modules for the new satellite in the DMV codes. This flexibility and reuse of capabilities make transition to different operational environments easy.

The launch of The Himawari-8 satellite provides us an opportunity to test the Enterprise DMW for ABI, since AHI and ABI have the same number of spectral channels; the temporal and spatial resolutions of the data are also alike. DMW is being updated with a new AHI satellite data reader and navigation module for AHI. STAR will run the AHI Winds pseudo-operationally until operations is ready for the transition. There is also a plan to update DMW for it to run on AVHRR and MODIS in SAPF for heritage purposes. The use of DMW as a model algorithm for successful R2O transition targeted at various operational environments for VIIRS and GOES along with future work for AHI, AVHRR, and MODIS will be discussed.

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