The tropical rainfall potential (TRaP) technique. Part II: Validation

Weather and Forecasting

Volumn 20, Issue 4, 2005, Pages 465-475

  Ferraro, Ralph ^a,b   Pellegrino, Paul ^c   Turk, Michael ^a   Chen, Wanchun ^c   Qiu, Shuang ^c   Kuligowski, Robert ^a   Kusselson, Sheldon ^a   Irving, Antonio ^a   Kidder, Stan ^d   Knaff, John A ^d  

^a OFFICE OF RESEARCH AND APPLICATIONS   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

^c QSS GROUP INC   (United States)

^d CIRA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLIMATOLOGY; HURRICANES; PRECIPITATION (METEOROLOGY); RAIN; SENSORS; STORMS; WEATHER FORECASTING; WEATHER SATELLITES;

MICROWAVE SENSORS; RAIN RATES; RAINFALL ESTIMATES; TROPICAL RAINFALL POTENTIAL (TRAP);

METEOROLOGY;

FORECASTING METHOD; MODEL VALIDATION; RAINFALL; SATELLITE DATA; STORM TRACK; TROPICAL CYCLONE;

EID: 24744433226     PISSN: 08828156     EISSN: None     Source Type: Journal    
DOI: 10.1175/WAF861.1     Document Type: Article

References (23)

1. Bennartz, R., 1999: On the use of SSM/I measurements in coastal regions. J. Atmos. Oceanic Technol., 16, 417-431.
2. Black, T. L., 1994: The new NMC Mesoscale Eta Model: Description and forecast examples. Wea. Forecasting, 9, 265-284.
3. Colton, M., and G. Poe, 1994: Shared Processing Program, Defense Meteorological Satellite Program, Special Sensor Microwave/Imager Algorithm Symposium, 8-10 June 1993. Bull. Amer. Meteor. Soc., 75, 1663-1669.
4. DeMaria, M., and R. E. Tuleya, 2001: Evaluation of quantitative precipitation forecasts from the GFDL hurricane model. Preprints, Symp. on Precipitation of Extremes: Prediction, Impacts, and Responses, Albuquerque, NM, Amer. Meteor. Soc., 340-343.
5. Ebert, E. E., M. J. Manton, P. A. Arkin, R. E. Allam, and A. Gruber, 1996: Results from the GPCP algorithm intercomparison programme. Bull. Amer. Meteor. Soc., 77, 2875-2887.
6. Ebert, E. E., U. Damrath, W. Wergen, and M. E. Baldwin, 2003: The WGNE assessment of short-term quantitative precipitation forecasts. Bull. Amer. Meteor. Soc., 84, 481-492.
7. Ferraro, R. R., 1997: SSM/I derived global rainfall estimates for climatological applications. J. Geophys. Res., 102, 16 715-16 735.
8. Ferraro, R. R., P. Pellegrino, S. Kusselson, M. Turk, and S. Kidder, 2002: Validation of SSM/I and AMSU derived tropical rainfall potential (TRaP) during the 2001 Atlantic hurricane season. NOAA Tech. Rep. 105, 47 pp.
9. Fulton, R. A., J. P. Breidenbach, D. J. Seo, and D. A. Miller, 1998: The WSR-88D rainfall algorithm. Wea. Forecasting, 13, 377-395.
10. Gallus, W. A., 2002: Impact of verification grid-box size on warm-season QPF skill measures. Wea. Forecasting, 17, 1296-1302.
11. Kanamitsu, M., and Coauthors, 1991: Recent changes implemented into the global forecast system at NMC. Wea. Forecasting, 6, 425-435.
12. Kidder, S. Q., and Coauthors, 2005: The tropical rainfall potential (TraP) technique. Part I: Description and examples. Wea. Forecasting, 20, 456-464.
13. Kummerow, C., and Coauthors, 2001: The evolution of the Goddard Profiling Algorithm (GPROF) for rainfall estimation from passive microwave sensors. J. Appl. Meteor., 40, 1801-1820.
14. Kurihara, Y., R. E. Tuleya, and M. A. Bender, 1998: The GFDL hurricane prediction system and its performance in the 1995 hurricane season. Mon. Wea. Rev., 126, 1306-1322.
15. Marks, F. D., G. Kappler, and M. DeMaria, 2002: Development of a tropical cyclone rainfall climatology and persistence (R-CLIPER) model. Preprints, 25th Conf. on Hurricanes and Tropical Meteorology, San Diego, CA, Amer. Meteor. Soc., 327-328.
16. McCollum, J., W. Krajewski, R. Ferraro, and M. Ba, 2002: Evaluation of biases of satellite rainfall estimation algorithms over the continental United States. J. Appl. Meteor., 41, 1065-1080.
17. Pfost, R. L., 2000: Operational tropical cyclone quantitative precipitation forecasting. Natl. Wea. Dig., 24, 61-66.
18. Rappaport, E. N., 2000: Loss of life in the United States associated with recent Atlantic tropical cyclones. Bull. Amer. Meteor. Soc., 81, 2065-2073.
19. Schaefer, J. T., 1990: The critical success index as an indicator of warning skill. Wea. Forecasting, 5, 570-575.
20. Tukey, J. W., 1977: Box-and-whisker plots. Explanatory Data Analysis, Addison-Wesley, 39-43.
21. Tustison, B., D. Harris, and E. Foufoula-Georgiou, 2001: Scale issues in verification of precipitation forecasts. J. Geophys. Res., 106, 11 775-11 784.
22. Weng, F., L. Zhao, G. Poe, R. Ferraro, X. Li, and N. Grody, 2003: Advanced Microwave Sounding Unit (AMSU) cloud and precipitation algorithms. Radio Sci., 38, 8086-8096.
23. Xie, P., J. Janowiak, P. Arkin, R. Adler, A. Gruber, R. Ferraro, G. Huffman, and S. Curtis, 2003: GPCP pentad precipitation analyses: An experimental dataset based on gauge observations and satellite estimates. J. Climate, 16, 2197-2214.