Title: Improving the Validation and Prediction of Tropical Cyclone Rainfall
1Improving 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)
2Goals
- 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
3Outline
- 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
4GFDL 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
5U.S. Landfalling Cases for Model Evaluation
NWS Operational Suite
GFDL, R-CLIPER
6QPF Bias Scores GFDL vs. R-CLIPER
7Equitable Threat Scores
8Model vs. obs correlation A first guess at
pattern matching
9Track error lt-gt QPF error
10Storm Intensity lt-gt QPF Error
11QPF 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
12QPF Bias Scores
13QPF Equitable Threat Scores
14(No Transcript)
15GFS 0.65 Eta 0.56 GFDL 0.52 RCLIP
0.47
16GFS 0.65 Eta 0.56 GFDL 0.52 RCLIP
0.47
17GFDL
Stage
IV
GFS
Eta
18GFDL
Stage
IV
GFS
Eta
19Rainfall statistics for observations and
forecasts of 24-h rain from 12 UTC 18 to 12 UTC
19 September for Isabel (2003)
20Plot 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
21Plot of 24-h rain (in) from 12 UTC 18 to 12 UTC
19 September for Isabel (2003) for NPVU and GFDL
Stage IV
GFDL
22Plot of 24-h rain (in) from 12 UTC 18 to 12 UTC
19 September for Isabel (2003) for NPVU and GFS
Stage IV
GFS
23Plot of 24-h rain (in) from 12 UTC 18 to 12 UTC
19 September for Isabel (2003) for NPVU and Eta
Stage IV
Eta
24Probability-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
25Summary 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)