Improvements to QPE in complex terrain using

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A proposal to GOES-R3 Innovative Ideas for
Multi-Instrument Blended Satellite Products
Improvements to QPE in complex terrain using
multiple satellites and model data
Proposed research team
Dr. Robert Rabin NOAA/NSSL Dr. Bob Kuligowski
NESDIS Dr. Jian ZhangNOAA/NSSL Dr. Valliappa
Lakshmanan CIMMS University of Oklahoma Dr.
Shayesteh Mahani NOAA/CREST City College of NY
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Project Summary
Goal Improve Self-Calibrating Multivariate
Precipitation Retrieval (SCaMPR)

• Incorporate
• High resolution cloud structure from visible
  albedo
• Cloud top phase and hydrometeor size
• Moisture and wind fields from RUC model and GOES
• High resolution topography

• Model and Validate
• High resolution national gauge networks
• National WSR-88D based QPE NSSL Q2

• Evaluate
• National Mosaic and Multisensor QPE (NMQ) system
  (http//nmq.ou.edu)

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GOES VISIBLE
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Probability of overshooting tops
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WSR-88D composite reflectivity
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Relevance to the GOES-R program

• Problem
• Heavy precipitation poses threats of flash
  flooding
• in regions of complex terrain
• Existing satellite techniques often perform
  poorly in these situations
• Radar beam is blocked and/or overshooting the
  precipitation
• Possible Solution
• Addresses the need for remote sensing-based
  estimates of precipitation
• complex terrain of the U.S. and its coastal
  waters
• Utilizes high resolution GOES-R ABI including
  visible data
• Combines cloud-top observations with other
  relevant data
• topography, model analysis, and WSR-88D where
  available.

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Leverage with Other Programs

• National QPE research program at OAR/NSSL
• 2009 Gunnison CO Radar Gap Project
• GOES-R Nowcasting and AWG projects at CREST

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Budget Estimate
FY2010 Total 50K NSSL/CIMMS 33.5 Salary
15K Lakshmanan 10K CIMMS
associate IT overhead 5K Travel
3.5K Contributed time Rabin,
Zhang CREST/CCNY 16.5 Salary 4.5K
Mahani MS student 12K