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McIDAS-V: Powerful Visualization & Data Analysis Tool for ABI and AIRS Retrievals

Learn about McIDAS-V, a free and open-source software for visualizing and analyzing ABI and AIRS retrievals. Discover its features, including platform independence, data format support, and a supportive online forum. Explore using McIDAS-V to visualize and analyze simulated ABI data, understand the capabilities of GOES-R ABI, and work with AIRS DPI data. See examples of simulated ABI imagery for various scenarios and learn how to perform data analysis tasks like band differencing and scatter analysis in McIDAS-V. Understand the benefits, challenges, and references associated with McIDAS-V. Enhance your skills in satellite data processing with McIDAS-V!

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McIDAS-V: Powerful Visualization & Data Analysis Tool for ABI and AIRS Retrievals

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  1. Kaba Bah ABI and AIRS retrievals in McIDAS-V

  2. Introduction to McIDAS-V Introduction to GOES-R ABI Visualize simulated ABI using McIDAS-V Analyze simulated ABI using McIDAS-V Introduction to AIRS DPI Visualizing AIRS DPI in McIDAS-V Summary References End Content

  3. Intro. to McIDAS-V • Free • Open source software • Powerful visualization & data analysis tool • Build on SSEC’s VisAD and Unidata’s IDV • “Bridge” software's enable McIDAS-X users to run commands/tasks in McIDAS-V environment

  4. Some features of McIDAS-V • Use of Java and Jython for platform independence. • Access to remote servers through firewall. • General display model supports 2D and 3D displays. • Versatile visualization and data analysis toolkit. • Numerous data formats supported (netCDF, AREA, GINI, EUMETCast LRIT, AVHRR L1b, ASCII etc). • Great support team with an online forum.

  5. Intro. to GOES-R ABI • 16 channel imaging radiometer that covers the visible, near-IR and IR Spectral regions. • Spatial Res. • IR = 2KM • Near-IR = 1KM • 0.64um =0.5 KM • Temporal Res. (flex scan mode, [1hr])‏ • Full disk = 4 • CONUS = 12 • Mesoscale (1000x1000KM) =120 • Spectral Res. • Current GOES = ‘6 Bands’ • GOES-R = 16 Bands.

  6. Visualizing simulated ABI in McIDAS-V • With data from the AWG group, we created CF 1.4 compliant netCDF files for: • Full Disk (2km res.)‏ • CONUS (2km res.)‏ • Mesoscale (1km res.)‏ • Katrina (2km res.)‏ • Used McIDAS-V data explorer to ingest files. • NetCDF files. • Displayed images in McIDAS-V map display. • Full disk, CONUS, Mesoscale, Katrina, Analysis.

  7. Full disk simulationABI band 15 (12.3um) June 26 2008 at 20:00UTC. /media/My_Book/MUG-Presentation/MUG-presentation/fulldisk-b15.gif

  8. CONUS Simulations • Rapidly developing severe convection, June 04/05 2005. • High res. WRF model cooperated with CIMSS forward radiate transfer model. McIDAS-X

  9. CONUS band 02(0.64um) 2005-06-04 21:30UTC • Daytime detection of fog, snow and ice cover • Estimation of solar insulation • Smoke, volcanic ash and hurricane analysis /media/My_Book/MUG-Presentation/MUG-presentation/conus-ir.gif#Slide 10

  10. ABI simulated 1Km res. Mesoscale. /media/My_Book/MUG-Presentation/MUG-presentation/meso-b02.gif

  11. Simulated ABI for Hurricane Katrina /media/My_Book/MUG-Presentation/MUG-presentation/katrina-b04.gif

  12. McIDAS-V data analysis toolkit. • Easily create a simple formula in McIDAS-V to compute (NDVI) on the fly. • Use McIDAS-V for scatter analysis of two fields. • Data transact using McIDAS-V.

  13. Band difference (NDVI)Band03(0.86um) – Band02(0.64um)‏ • Can compute band difference on the fly. • Band 03 (0.86um) - Band 02 (0.64um)‏

  14. Scatter AnalysisBand 03 (0.86um) and Band 02 (0.64um)‏

  15. Scatter Analysis Band 14 (11.2um) and Band 11 (8.5um)‏

  16. Data Transact in McIDAS-V

  17. AIRS DPI in McIDAS-V • Created CF 1.4 Compliant netCDF files for: • CAPE, LI, TPW, PW1, PW2, PW3 • Ingested netCDF files using McIDAS-V data explorer and displayed them in the McIDAS-V map display.

  18. Loop of AIRS DPI in McIDAS-V /media/My_Book/MUG-Presentation/MUG-presentation/AIRS-22-192.gif

  19. Con’s Needs lots of memory for large files or loops. Load time Cannot display 16 bands in one frame. Display labels are hard to manipulate. Summary • Pro’s • Little or no programming skills needed. • Very resourceful Users guide. • Lots of room for new ideas and improvements.

  20. References • http://www.ssec.wisc.edu/mcidas/ • http://www.ssec.wisc.edu/mcidas/doc/mcv_guide.html • http://www.ssec.wisc.edu/~billh/visad.html • http://www.unidata.ucar.edu/software/idv/ • http://www.ssec.wisc.edu/hydra/

  21. Thank You. • UW CIMSS/SSEC • McIDAS-V Team • GOES-R proving ground team. • AIRS DPI team • Everyone for attending and time.

  22. END

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