1. National Science and Technology Center for Disaster Reduction /
Validation of Tropical Rainfall Potential (TRaP) Forecasts for Typhoons In Taiwan Area
Maxine Mei-Hsin Chen/
Ben Jong-Dao Jou
National Science and Technology Center for Disaster Reduction /
Department of Atmospheric Sciences, National Taiwan University

2. Validation What： Typhoon Rainfall Forecast field:
TRaP (satellite forecasted rainfall)
Observation field:
QPEsums (Radar-gauge estimated rainfall)
Where:
Taiwan
The aim of this study is to validate TRaP forecasts for typhoons in the Taiwan region during the season with QPEsums.

3. TRaP (Tropical Rainfall Potential)
Forecast
TRaP (Tropical Rainfall Potential)
TRaP are generated by taking instantaneous rainfall estimates from passive microwave sensor, advecting this rainfall pattern along the predicted storm track.
Assumptions
The satellite-estimated rain rates are correct.
The forecast storm track is correct.
The spatial pattern of rain rates relative to the storm center does not change in either coverage or magnitude, and thus moves with the storm center along the forecast track.

4. QPESUMS
Observation
Surface and upper
observation
Lightning
Rain
gauge
Satellite
Radar
▲Radar Data Quality Control
▲Bright Band Identification
▲Reflectivity Mosaic
▲Convective/Stratiform Identification
▲Hybrid Scan Mosaic
QPE-SUMS
Single radar
product
Multiple
radar
Estimated rainfall product
Real Time Rainfall Estimation Quantitative Precipitation Estimation and Segregation
Using
Multiple
Sensors

5. There are 4 Doppler Radars, and about 400 rain gauges in Taiwan.
There are overlap areas between two radar observations. QPEsums select the lowest angle of elevation which doesn’t be blocked.
QPEsums use Z-R relation to transform radar reflectivity to rain rate, and correct it with rain gauge observation.

6. What’s the special of Taiwan?
台灣地形
100m
In average, there are 3.6 typhoons touched down in Taiwan every year.
The highest mountain in Taiwan is almost 4000 m, this may cause heavy rain in mountain area when typhoon approach, especially the windward side.

7. Typhoon cases
Typhoons approached Taiwan in the year of 2004 and 2005,and stayed in QPEsums area longer than 12 hours are chosen for validation.

8. Validation Result
Best Forecast
mm/6hrs

9. In general,TRaP underestimated rainfall all the time, and dislocated the maximum rainfall. TRaP predicted about 65﹪of observed rainfall, but the average correlation coefficient is only This may cause by the terrain enhancement and nonvarying rain pattern of TRaP assumption.

10. TRaP performed noticeably better when typhoon track across central Taiwan directly from east to west. 2

11. The SSM/I-based TRaP products performed much better than other sensor-based TRaP products at Taiwan cases.

12. Contiguous Rain Area (CRA) error decomposition
This method fellow Ebert et al.(2004)
Volume error
Pattern error
Displacement error
NOCK-TEN
25 %
45 %
30 %
AERE
35 %
50 %
15 %
Error decomposition of the TRaP for regions of heavy rain shows pattern errors accounted for about half of the total error. These errors are possibly related to the satellite rain rate retrieval as well as the assumption of a nonvarying rain pattern, and particularly the effect of interaction between rainbands and topography in Taiwan.

13. HAITANG
TALIM
There is a strong relation between heavy rain area and typhoon center, because of Taiwan topography.
AERE
NOCK-TEN

14. Comparison of validation in different country

15. The End
Thank you