1 / 51

GEO Visible Calibration Strategy Using MODIS as Reference

GEO Visible Calibration Strategy Using MODIS as Reference. Louis Nguyen, David R. Doelling, Patrick Minnis, NASA Langley Research Center Hampton, Virginia, USA Lance A. Avey, Thad Chee, and Douglas A. Spangenberg Space Systems and Applications, Inc Hampton, Virginia, USA. Overview.

dorie
Download Presentation

GEO Visible Calibration Strategy Using MODIS as Reference

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. GEO Visible Calibration Strategy Using MODIS as Reference Louis Nguyen, David R. Doelling, Patrick Minnis, NASA Langley Research Center Hampton, Virginia, USA Lance A. Avey, Thad Chee, and Douglas A. Spangenberg Space Systems and Applications, Inc Hampton, Virginia, USA

  2. Overview • Inter-Calibration Methods • VIS calibration results under legacy system • Demo New Calibration Server and Website • New VIS calibration trends from MODIS

  3. Inter-Calibration Methods • Technique 1: LEO-GEO (ex: MODIS-GOES12) • • Co-locate GEO & Polar pixels and average to 0.5° regions using 30° x 20° grid box near GEO subsatellite point • • Match solar, viewing and azimuth angles and time: • SZA < 5° VZA < 10° RAZ < 15° Time < 15min no glint • Technique 2: GEO-GEO (ex: GOES12-GOES10) • • Match pixels from 0.5 or 1° regions straddling the bisecting longitude at solar noon • • Ensures matched SZA and VZA • • Match image time within 15 minutes • Normalize all solar channels to common solar constants • Normalize each radiance to a common SZA • Perform linear regression

  4. Satellite Calibration Regions LEO-GEO

  5. Satellite Calibration Regions GEO-GEO

  6. Slope = 1.027 SEE = 8.7 Slope = 0.6964 SEE = 7.3 GOES Calibration using VIRS Use LEO-GEO technique to directly calibrate GOES-8 & GOES-12 with VIRS GOES-8 Oct 2002 GOES-12 Feb 2004 SEE = 7.3

  7. Time Series of GOES-8 Slope Trend GOES-8 Gain Trend Jan 1998 - Mar 2003 SEE = 0.00848 SEE/Mean = 0.891%

  8. Nov 1998 - Mar 2003 Apr 2003 - Aug 2005 GOES-10 Calibration Using G8 & G12 Use GEO-GEO technique to transfer VIRS calibrated GOES-8 & GOES-12 to GOES-10

  9. Time Series of GOES-10 Slope Trend SEE = 0.00716 SEE/Mean = 0.927%

  10. GOES-12 Slope Trends SEE = 0.00375 SEE/Mean = 0.547%

  11. Motivation for Calibration Server and Website - Dissemination of post-launch calibration equations in timely manner • For public and in-house use (GEO cloud retrieval algorithm) - Traceability • Utilize database to track and control datasets and algorithms • Version control for publishing post-launched calibration equations • Results are reproducible via cloning dataset and algorithms - Analysis of Calibration Results • Allows side-by-side comparison of monthly and trend differences in reference calibration source (TERRA-AQUA, VIRS, DDC, etc) • Results are controlled under “research” and “published” versions • Allows tweaking of algorithms under predefined parameter list - Automation: Processing and Re-processing of Calibration Data • Calibration performed under controlled Web environment • More automated and less tedious; time serie trends, monthly plots, calibration equations are updated automatically in one process • Plots are generated on demand, calibration equations published on website are pulled from database

  12. NASA-Langley Calibration System Flowchart Data Acquisition Server (McIDAS) Orbital prediction program determines collection Store on Archive GEO Data MODISData VIRS Data AVHRR Data Deep Convective Cloud Satellite Pair Gridding Channels and region DATABASE DDC Monthly PDF Matching: spatial and temporal Web Server Interface Processing, analysis, display, dissemination Monthly Regression Constrain time, angles, glint, sigma Plots: monthly and trendline

  13. Demo

  14. Demo: Main Page

  15. Demo: G12

  16. Demo: G12/TERRA

  17. Demo: G12/TERRA Vis force

  18. Demo: G12/TERRA Vis Slope

  19. Demo: G12/TERRA Vis Zoom

  20. Demo: G12/TERRA Monthly Select

  21. Demo: G12/TERRA Monthly Plots

  22. Demo: G12/TERRA Monthly Jan07

  23. Demo: G12/TERRA Monthly Nov07

  24. Demo: G12/AQUA select

  25. Demo: G12/AQUA Vis force

  26. Demo: G12/TERRA Vis force

  27. Demo: Admin page

  28. Demo:

  29. Demo: Proj Details

  30. Demo: Monthly Scatter PLot

  31. Demo: Proj Details

  32. Demo: Trend

  33. Demo: Proj Details

  34. Demo

  35. Demo: IDL Plot var

  36. Demo: Proj Details

  37. Demo: Scatter Plot Program

  38. Demo: Proj Details

  39. Demo: Trend Program

  40. Demo: End of Demo End of DEMO Let’s go straight to the VIS Calibration Results

  41. Demo: Main Page, G11

  42. GOES-11 Visible Gain Trend

  43. Demo: Main Page, Met8

  44. Meteosat-8 Visible Gain Trend

  45. Demo: Main Page, Met9

  46. Meteosat-9 Visible Gain Trend

  47. Demo: Main Page, FY2C

  48. FY-2C Visible Gain Trend

  49. Demo: Main Page, MTSAT

  50. MTSAT-1R Visible Gain Trend 8-bit^2 data 10-bit data

More Related