Improving the Validation and Prediction of Tropical Cyclone Rainfall - PowerPoint PPT Presentation

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Improving the Validation and Prediction of Tropical Cyclone Rainfall

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... modified R-CLIPER that incorporates vertical shear & storm track data. ... data within 800 km of storm track was summed over model ... gauges per storm ... – PowerPoint PPT presentation

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Title: Improving the Validation and Prediction of Tropical Cyclone Rainfall


1
Improving the Validation and Prediction of
Tropical Cyclone Rainfall
  • Timothy P. Marchok
  • NOAA/GFDL Princeton, NJ
  • Robert F. Rogers
  • NOAA/AOML/HRD Miami, FL
  • Robert E. Tuleya
  • NOAA/NCEP/EMC/SAIC Camp Springs, MD
  • 58th Interdepartmental Hurricane Conference,
    Charleston, SC
  • March 1-5, 2004
  • This project is being funded by the Joint
    Hurricane Testbed (JHT)

2
Goals
  • Goal Develop a set of rainfall validation
    schemes more suited specifically for TCs
  • Motivation Conventional precip skill scores are
    often difficult to interpret in the context of
    tropical cyclones
  • Goal Produce model QPF error statistics for
    historic U.S. landfalling storms.
  • Motivation No systematic QPF verification has
    been done on NWS operational models for the
    specific subset of landfalling U.S. tropical
    cyclones
  • Goal Develop a modified R-CLIPER that
    incorporates vertical shear storm track
    data.
  • Motivation Recent research has shown that
    including vertical shear information can add
    structure to R-CLIPER's currently symmetric
    rainfall distribution

3
Outline
  • Standard QPF verifications
  • GFDL model 1995-2002 storms rain gauge data
  • NWS operational suite 1998-2003 storms Stage IV
    gridded rainfall analyses
  • Application of a new verification technique to
    Hurricane Isabels landfall
  • Future work

4
GFDL Model QPF Verification, 1995-2002
  • Verification data Hourly daily rain gauges
  • Gauge data within 800 km of storm track was
    summed over model forecast interval
  • Interpolated model storm total rainfall to gauge
    location
  • Average of 211 hourly gauges per storm
  • Nearly 1200 daily gauges per storm
  • Only used forecasts initialized at 12 UTC, to
    coincide with daily rain gauge network
  • All storms within 24h of landfall

5
U.S. Landfalling Cases for Model Evaluation
NWS Operational Suite
GFDL, R-CLIPER
6
QPF Bias Scores GFDL vs. R-CLIPER
7
Equitable Threat Scores
8
Model vs. obs correlation A first guess at
pattern matching
9
Track error lt-gt QPF error
10
Storm Intensity lt-gt QPF Error
11
QPF verification for NWS model suite 28 storms
from 1998-2003
  • GFDL, NCEP/GFS, NCEP/Eta, R-CLIPER, 2xR-CLIPER
  • GFDL 2003 version used for all 28 cases
  • Obs data Hourly multi-sensor (radar, gauge)
    gridded data available online from NCAR
  • 2002-2003 NCEP/EMC Stage IV data
  • 1998-2001 NCEP/EMC Stage II data

12
QPF Bias Scores
13
QPF Equitable Threat Scores
14
(No Transcript)
15
GFS 0.65 Eta 0.56 GFDL 0.52 RCLIP
0.47
16
GFS 0.65 Eta 0.56 GFDL 0.52 RCLIP
0.47
17
GFDL
Stage
IV
GFS
Eta
18
GFDL
Stage
IV
GFS
Eta
19
Rainfall statistics for observations and
forecasts of 24-h rain from 12 UTC 18 to 12 UTC
19 September for Isabel (2003)
20
Plot of 24-h rain (in) from 12 UTC 18 to 12 UTC
19 September for Isabel (2003) for NPVU and
R-CLIPER
Stage IV
R-CLIPER
21
Plot of 24-h rain (in) from 12 UTC 18 to 12 UTC
19 September for Isabel (2003) for NPVU and GFDL
Stage IV
GFDL
22
Plot of 24-h rain (in) from 12 UTC 18 to 12 UTC
19 September for Isabel (2003) for NPVU and GFS
Stage IV
GFS
23
Plot of 24-h rain (in) from 12 UTC 18 to 12 UTC
19 September for Isabel (2003) for NPVU and Eta
Stage IV
Eta
24
Probability-matched 24-h rain estimates from
Stage IV data vs. R-CLIPER, GFDL, GFS, and Eta
models for Hurricane Isabel
90
90
90
10
10
10
10
25
Summary Future Plans
  • QPF error stats for landfalling TCs
  • GFDL only 1995-2002 vs. rain gauge data
  • NWS suite 1998-2003 vs. gridded Stage IV data
  • Compare operational GFDL vs. 2003 GFDL for all
    storms, 1995-2003
  • Development of a set of QPF verification schemes
    more suited to TCs
  • Apply a PDF/CDF method to TC rain flux
  • Use PDF/CDF method on NWS suite, 1998-2003
  • Investigate other spatial-based methods?
  • Develop a modified R-CLIPER that incorporates
    vertical shear storm track data (Year 2)
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