1 / 17

SEVIRI Height Retrieval Comparison with CALIPSO

SEVIRI Height Retrieval Comparison with CALIPSO. Mike Pavolonis (NOAA/NESDIS). Procedure. The GOES-R volcanic ash retrieval ( http://cimss.ssec.wisc.edu/~mpav/GOESR_ABI_ATBD_Aviation_VolAsh_v2.1.pdf ) was applied to SEVIRI data.

amaris
Télécharger la présentation

SEVIRI Height Retrieval Comparison with CALIPSO

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. SEVIRI Height Retrieval Comparison with CALIPSO Mike Pavolonis (NOAA/NESDIS)

  2. Procedure • The GOES-R volcanic ash retrieval (http://cimss.ssec.wisc.edu/~mpav/GOESR_ABI_ATBD_Aviation_VolAsh_v2.1.pdf) was applied to SEVIRI data. • CALIPSO (lidar) overpasses were matched in time and space to SEVIRI. • Multi-spectral SEVIRI imagery was used to interpret the cloud layers identified by CALIPSO (e.g. only cases where it was obvious that CALIPSO over-passed a definitive ash signal in SEVIRI false color imagery were considered). • The retrieved GOES-R ash cloud heights were overlaid on the lidar backscatter cross section (in white). • To illustrate that the ash clouds are generally very optically thin, the heights that would be retrieved if the ash was assumed to be opaque to 11 um radiation are also overlaid (in magenta). The lidar backscatter data also indicate that the clouds are optically thin. • Overall the GOES-R ash cloud heights (using SEVIRI as a proxy for GOES-R) compare very well to the lidar cloud top boundaries. The main exception is cloud edges, which is expected.

  3. Ash cloud May 6, 2010 (14:00 UTC)

  4. Ash cloud May 6, 2010 (14:00 UTC) White: GOES-R Heights

  5. Ash cloud May 6, 2010 (14:00 UTC) The GOES-R ash cloud heights closely match the CALIPSO cloud top boundary. The traditional methodology underestimates the cloud height. White: GOES-R Heights Magenta: IR Window Heights

  6. Ash clouds May 7, 2010 (03:00 UTC)

  7. Ash clouds May 7, 2010 (03:00 UTC) White: GOES-R Heights

  8. Ash clouds May 7, 2010 (03:00 UTC) The GOES-R cloud heights correctly capture the spatial pattern of ash cloud heights. White: GOES-R Heights Magenta: IR Window Heights

  9. Ash clouds May 7, 2010 (14:00 UTC)

  10. Ash clouds May 7, 2010 (14:00 UTC) White: GOES-R Heights

  11. Ash clouds May 7, 2010 (14:00 UTC) Even though these clouds are very optically thin, the GOES-R ash cloud heights closely match the CALIPSO cloud top boundaries, unlike the IR window based height. White: GOES-R Heights Magenta: IR Window Heights

  12. Ash clouds May 8, 2010 (04:00 UTC)

  13. Ash clouds May 8, 2010 (04:00 UTC) White: GOES-R Heights

  14. Ash clouds May 8, 2010 (04:00 UTC) Once again the GOES-R height retrieval is able to capture the considerable spatial variability of the ash cloud. White: GOES-R Heights Magenta: IR Window Heights

  15. Ash clouds May 8, 2010 (15:00 UTC)

  16. Ash clouds May 8, 2010 (15:00 UTC) White: GOES-R Heights

  17. Ash clouds May 8, 2010 (15:00 UTC) In this example, CALIPSO just grazes the ash cloud visible in multi-spectral imagery. Thus, the IR measurements have limited sensitivity to the ash cloud height at the overpass location. Nevertheless, the map of ash cloud heights indicates that heights comparable to those indicated by CALIPSO are present very close to the CALIPSO overpass. White: GOES-R Heights Magenta: IR Window Heights

More Related