Smart Tool Developments

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Smart Tool Developments

• David Novak
• Eastern Region Headquarters
• Scientific Services Division

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Outline

• Eastern Region Smart Tool infrastructure
• Activities this year
• Vision for the Future

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Eastern Region Smart Tool Infrastructure
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Role of ST/SITs in IFPS paradigm

• Populate the IFPS Database
• Employ scientific technique
• Streamline grid editing process
• Ensure meteorological grid consistency
• Infuse new science into IFPS

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Regional ST Coordinator

• Coordinate Regional development, implementation,
  and training activities
• Provide science-based ST/SIT training resources
• Foster research transfer through ST/SIT
  development application

C S T A R
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Sharing of ST/SIT Resources

• National Smart Tool Repository
• http//140.90.90.253/applications/STR/index.php3
• Many tools, various degrees of scientific
  validity and documentation
• Eastern Region Smart Tool Review Procedure

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Eastern Region ST Review Procedure
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ST/SIT Communication

• Eastern Region ST/SIT Homepage
• Announcements
• Repository Information
• Bi-monthly In Focus section
• Training Resources
• ER Smart Tool mail list
• ER IFPS CC items

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http//www.werh.noaa.gov/ssd/smarttools/new_smartt
ool.htm

• Click here

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• Click here

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• Click here

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• Click here

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• Click here

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• Click here

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Regional Smart Tool Working Group

• Identify and address regional tool development
  needs
• Identify scientifically sound and
• operationally relevant tools
• Provide forum for discussion on
• regional Smart Tool
• usage and development

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Activities This Year
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Improving the Smart Tool Repository

• Documentation Requirement
• Categorized by Element Edited
• Tracking number of downloads

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Recommended Tool List

• Tools nominated by the field
• Tested by ST Working Group
• Discussion and voting

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Focused Development

• ER_QCcheck (Tom Mazza RLX)
• -derived from Steve Nelsons QC_Check
• -Highlight or fix areas of
  internal grid inconsistencies
• -Allows flexibility in how the grids are
  corrected

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ER_QCcheck Temperature Example
Temperature
Dewpoint
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ER_QCcheck Temperature Example
Highlight Grid
Red shows where Td gt T
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ER_QCcheck Temperature Example
Original Dewpoint
Final Dewpoint
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ER_QCcheck

• Additional checks are planned

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Snow-Ratio Smart Tool (Dan Cobb SOO CAR)
Focused Development

• Based on recent research e.g. Dube (2003),
  Waldstreicher (2002), Roebber et al. (2003)
• Snow crystal size primarily a function of temp
• Largest and fastest growing crystals form at
  temperatures between (-12C and -18C)
• Rate of crystal production is a function of
  supersaturation with respect to ice, which is
  directly linked to vertical motion.

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Algorithm Example
Consider a 3 layer cloud with the following layer
average temperatures and vertical motion First
map temperatures to a snow-ratio.
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Algorithm Example
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Algorithm Example
Layer temperature has now been mapped to
snow-ratio (SR) Layer vertical motion is now
being re-cast as the percent of the column total.
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Algorithm Example
Now, the weighted snow-ratios are summed up over
the three cloud layers yielding the cloud-base
snow-ratio. So, the snow-ratio would then be
2.0 12.0 2.3 16.3 Or 16.31
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Verification (PQI) 2004 Jan 19
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Focused Development

• Using BUFR data in GFE

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Vision for the Future
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National Smart Tool Team

• Establish process for scientific
• validation and verification
• Establish baselining process
• Scientifically sound operationally
  relevant tools
• National Forum for Discussion
• Coordination of local, regional, national efforts

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Verification of ST and SITs
Eta 40-km data to 5-km via Smart Init
12-km 2m T data remapped to 5 km
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ERH LAPS Temperature Analysis in GFE
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40-km Smart Init Errors
12-km 2m T errors
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Smart Tool Science

• Incorporate local collaborative research results
  into ST/SIT application (Smart Tool Science)
• DiurnalTMinMaxT (Steve Nelson Cheryl Sharpe)
• Diurnal temperature curve based on climatology

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Smart Tool Science
Use of Lightning Climatologies in GFE
Grid
Manager
Spatial Editor
Courtesy Irv Watson (SOO TLH)
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Smart Tool Science
Use of Probabilistic Guidance
MM5 Ensemble Most Probable Precip Category
Model Blend
Ensemble MOS
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Smart Tool Science
Use of Probabilistic Guidance
MRF Smart Initialization
Ensemble MOS Adjusted
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Smart Tool Science

• Intelligent Use of a
• Lapse Rate Smart
• Tool In the GFE
• Harry Gerapetritis
• Laurence Lee (2002)
• (ER Tech Attach)

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Smart Tool Science

• Dewpoint Research

Courtesy Rob Radzanowski (CTP)
Courtesy Ken Crawford
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Future Challenges

• National Coordination of Efforts
• Assuring Scientifically Sound Techniques
• Capitalizing on Advances in Science
  and Technology

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Links of Interest

• ER Smart Tool Home Page
• http//www.werh.noaa.gov/ssd/smarttools/new_smartt
  ool.htm
• National Smart Tool Repository
• http//140.90.90.253/applications/STR/index.php3
• Master Consistency Tool
• http//www.werh.noaa.gov/ssd/smarttools/mastercons
  istency/
• masterconsistency.htm
• Dube (2003) Snow Ratio Study
• http//meted.ucar.edu/norlat/snowdensity/from_mm_t
  o_cm.pdf
• Ensemble Mean MOS Bulletins
• http//eyewall.met.psu.edu/mos/weather/index.html