1 / 9

OMI Soft Calibration

OMI Soft Calibration. P. K. Bhartia, Glen Jaross, Steve Taylor, Xiong Liu, Tom Kelly, Changwoo Ahn, Dave Haffner NASA GSFC, Maryland, USA. Which OMI products are most sensitive to instrument calibration?*** Aerosol index (AI) Aerosol Absorption Optical Thickness (AAOT) Trop O 3 profile.

rusty
Download Presentation

OMI Soft Calibration

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. OMI Soft Calibration P. K. Bhartia, Glen Jaross, Steve Taylor, Xiong Liu, Tom Kelly, Changwoo Ahn, Dave Haffner NASA GSFC, Maryland, USA

  2. Which OMI products are most sensitive to instrument calibration?*** • Aerosol index (AI) • Aerosol Absorption Optical Thickness (AAOT) • Trop O3 profile What is Soft Calibration? Instrument parameters that are derived by checking consistency against radiative transfer models or by using external data *** DOAS algorithms “soft calibrate” during fitting

  3. l-dep of Aerosol Absorption OC Dust tabs=0.05 Assume 10% abs at 410 nm BC

  4. Detection of Absorbing Aerosols from UV Measurements Nimbus/7 TOMS data blue Solar ZA: 45˚-55˚ Satellite ZA: 0˚-60˚ Azimuth= ~90˚ Solar ZA: 45˚-55˚ Satellite ZA: 0˚-60˚ Azimuth= ~90˚ color Saturation Points shifts up/down & left/right due to aerosol absorption gray Sky brightness • l-independent instrument change will shift points left or right • l- dependent change will shift them up or down

  5. Effect of Swath Angle Anomaly on OMI UV Aerosol Index Pos 41 Pos 54

  6. Effect of Error in Radiance on O3 profile Assumed error: 0% at 329 nm, 1% at 270 nm, linear with l

  7. Straylight error in Col 3 OMI UV1 radiances estimated using MLS O3 profiles 60˚ SZA, Swath Pos 16 Increases with SZA fc>80% fc<10%

  8. Straylight error without any correction

  9. Conclusions • OMI UV-AI, AAOT and trop O3 products are very sensitive to instrumental errors. • There are significant calibration (multiplicative) and straylight (additive) errors in OMI UV1 data. MLS O3 profiles can be used to estimate these errors. Since the errors vary with SZA, swath position and cloud fraction, the correction is complicated. • To improve OMI aerosol products we need to analyze errors in UV-AI at locations where there are no (absorbing) aerosols (S. Pacific). Fresnel reflection and water-leaving radiances from oceans have large effect on UV-AI. These effects must be corrected to estimate instrumental errors.

More Related