slide1 n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Improvements to QPE using GOES visible ABI and model data PIs: PowerPoint Presentation
Download Presentation
Improvements to QPE using GOES visible ABI and model data PIs:

Loading in 2 Seconds...

play fullscreen
1 / 4

Improvements to QPE using GOES visible ABI and model data PIs: - PowerPoint PPT Presentation


  • 115 Views
  • Uploaded on

Improvements to QPE using GOES visible ABI and model data PIs: Robert Rabin, Jian Zhang: NOAA/NSSL Bob Kuligowski: NOAA/NESDIS/STAR Objective: Improvements to ScaMPR ( Self-Calibrating Multivariate Precipitation Retrieval): The GOES-R Rainfall algorithm

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Improvements to QPE using GOES visible ABI and model data PIs:' - abie


Download Now 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.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
slide1

Improvements to QPE using GOES visible ABI

  • and model data
  • PIs:
  • Robert Rabin, Jian Zhang: NOAA/NSSL
  • Bob Kuligowski: NOAA/NESDIS/STAR
  • Objective:
  • Improvements to ScaMPR (Self-Calibrating Multivariate Precipitation Retrieval):
  • The GOES-R Rainfall algorithm
  • High resolution visible cloud structure
  • Cloud-top phase and particle size derived from GOES imagery
  • NWP model data
slide2

Milestones: Year 1

  • Obtain SCaMPR software and modify for introduction of new

variables.

  • Collect initial case studies (current GOES and NMQ; SEVIRI

and NIMROD data).

  • Perform enhanced analysis of visible cloud structure for

input to SCaMPR

  • Extract archived cloud-model output and simulated imagery.
  • Perform statistical analysis of added value of new parameters

with SCaMPR.

  • Compare results with observed and simulated GOES data.
slide3

Milestones: Year 2:

  • Extend the analysis completed in year 1 to independent cases

for further testing of SCaMPR.

  • Setup real time processing of with current GOES data for

evaluation of QPE accuracy in site specific areas such as

the Tar basin of North Carolina.

  • Document and submit results for publication
slide4

Use of visible and NSSL-WRF stats in QPE: 24 Aug 22:45 UTC

WRF: Visible

WRF:IR Band 13

WRF: Rain Rate (R)

-40 -60C

10 20 30 40 50/hr

G13: Vis

G13: IR Band 4

R: WRF stats

50 75 100%

-40 -60C

G13: Overshoot probability

R: WRF+overshoot stats

R: radar NMQ

10 20 30 40 50/hr

10 20 30 40 50/hr

10 20 30 40 50/hr