Status and outlook of operational satellite precipitation algorithms for extreme-precipitation events

Weather and Forecasting

Volumn 18, Issue 6, 2003, Pages 1037-1051

  Scofield, Roderick A ^a   Kuligowski, Robert J ^a  

^a WWBG   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLOUDS; FLOODS; GEOSTATIONARY SATELLITES; INFORMATION SERVICES; PRECIPITATION (METEOROLOGY); WEATHER SATELLITES;

FLASH FLOODS; WEATHER HAZARDS;

WEATHER FORECASTING;

ALGORITHM; EXTREME EVENT; FLASH FLOOD; PRECIPITATION ASSESSMENT; REMOTE SENSING;

NORTH AMERICA; UNITED STATES;

EID: 1642480215     PISSN: 08828156     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0434(2003)018<1037:SAOOOS>2.0.CO;2     Document Type: Article

References (73)

1. Adler, R. F. and A. J. Negri, 1988: A satellite infrared technique to estimate tropical convective and stratiform rainfall. J. Appl. Meteor., 27, 30-51.
2. Alfaro, R., and R. A. Scofield, 2001: Validation of GOES precipitation estimates over Central America. Preprints, 11th Conf. on Satellite Meteorology and Oceanography, Madison, WI, Amer. Meteor. Soc., 379-382.
3. Anagnostou, E. N., A. J. Negri, and R. F. Adler, 1999: A satellite infrared technique for diurnal rainfall variability studies. J. Geophys. Res., 104, 31 477-31 488.
4. Arkin, P. A., and B. N. Meisner, 1987: The relationship between large-scale convective rainfall and cold cloud over the Western Hemisphere during 1982-84. Mon. Wea. Rev., 115, 51-74.
5. Ba, M. B., and A. Gruber, 2001: GOES multispectral rainfall algorithm (GMSRA). J. Appl. Meteor., 40, 1500-1514.
6. Barrett, E. C., 1970: The estimation of monthly rainfall from satellite data. Mon. Wea. Rev., 98, 322-327.
7. Barrett, E. C., and D. W. Martin, 1981: The Use of Satellite Data in Rainfall Monitoring. Academic Press, 340 pp.
8. Barrett, E. C., C. C. Kidd, and J. O. Bailey, 1988: The Special Sensor Microwave/Imager: A new instrument with rainfall monitoring potential. Int. J. Remote Sens., 9, 1943-1950.
9. Borneman, R., 1988: Satellite rainfall estimating program of the NOAA/NESDIS Satellite Analysis Branch. Natl. Wea. Dig., 13 (2), 7-15.
10. Conner, M. D., and G. W. Petty, 1998: Validation and intercomparison of SSM/I rain-rate retrieval methods over the continental United States. J. Appl. Meteor., 37, 679-700.
11. Corfidi, S. F., J. H. Merritt, and J. M. Fritsch, 1996: Predicting the movement of mesoscale convective complexes. Wea. Forecasting, 11, 41-46.
12. Doswell, C. A., III, 1986: Short-range forecasting. Mesoscale Meteorology and Forecasting, P. S. Ray, Ed., Amer. Meteor. Soc., 689-719.
13. Ferraro, R. R., 1997: Special Sensor Microwave Imager derived global rainfall estimates for climatological applications. J. Geophys. Res., 102, 16 715-16 736.
14. Ferraro, R. R., S. J. Kusselson, and M. C. Colton, 1998: An introduction to passive microwave remote sensing and its applications. Natl. Wea. Dig., 22 (3), 11-23.
15. Ferraro, R. R., G. Vicente, M. Ba, A. Gruber, R. Scofield, Q. Li, and R. Weldon, 1999: Satellite techniques yield insight into devastating rainfall from Hurricane Mitch. Eos, Trans. Amer. Geophys. Union, 80, 505, 512, 514.
16. Ferraro, R. R., F. Weng, N. Grody, and L. Zhao, 2000: Precipitation characteristics over land from the NOAA-15 AMSU sensor. Geophys. Res. Lett., 27, 2669-2672.
17. 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. NESDIS 105, 43 pp. [Available from NOAA/NESDIS Office of Research and Applications, 5200 Auth Rd., Camp Springs, MD, 20746-4304.]
18. Follansbee, W. A., 1973: Estimation of average daily rainfall from satellite cloud photographs. NOAA Tech. Memo. NESS 44, 39 pp. [Available from NOAA/NESDIS Office of Research and Applications, 5200 Auth Rd., Camp Springs, MD. 20746-4304.]
19. Follansbee, W. A., and V. J. Oliver, 1975: A comparison of infrared imagery and video pictures in the estimation of daily rainfall from satellite data. NOAA Tech. Memo. NESS 62. 14 pp.
20. Fulton, R. A., J. P. Breidenbach, D. J. Seo, and D. A. Miller, 1998: The WSR-88D rainfall algorithm. Wea. Forecasting, 13, 377-395.
21. Gourley, J. J., R. A. Maddox, K. W. Howard, and D. W. Burgess, 2002: An exploratory multisensor technique for quantitative estimation of rainfall. J. Hydrometeor., 3, 166-180.
22. Griffith, C. G., W. L. Woodley, P. G. Grube, D. W. Martin, J. Stout, and D. N. Sikdar, 1978: Rain estimates from geosynchronous satellite imagery: Visible and infrared studies. Mon. Wea. Rev., 106, 1153-1171.
23. Groisman, P. Ya., and D. R. Legates, 1994: The accuracy of United States precipitation data. Bull. Amer. Meteor. Soc., 75, 215-227.
24. Huffman, G. J., R. F. Adler, M. M. Morrissey, D. T. Bolvin, S. Curtis, R. Joyce, B. McGavock, and J. Susskind, 2001: Global precipitation at one-degree daily resolution from multisatellite observations. J. Hydrometeor., 2, 36-50.
25. Hunter, S. M., 1996: WSR-88D radar rainfall estimation: Capabilities, limitations, and potential improvements. Natl. Wea. Dig., 20 (4), 26-38.
26. Juying, X., and R. A. Scofield, 1989: Satellite-derived rainfall estimates and propagation characteristics associated with mesoscale convective systems (MCS). NOAA Tech. Memo. NESDIS 25, 49 pp.
27. Kidder, S. Q., M. D. Goldberg, R. M. Zehr, R. M. DeMaria, J. F. W. Purdom, C. S. Velden, N. C. Grody, and S. J. Kusselson, 2000: Satellite analysis of tropical cyclones using the Advanced Microwave Sounding Unit (AMSU). Bull. Amer. Meteor. Soc., 81, 1241-1259.
28. Kidder, S. Q., S. J. Kusselson, J. A. Knaff, and R. J. Kuligowski, 2001: Improvements to the experimental tropical rainfall potential (TRaP) technique. Preprints, 11th Conf. on Satellite Meteorology and Oceanography, Madison, WI, Amer. Meteor. Soc., 375-378.
29. Kitchen, M., and P. M. Jackson, 1993: Weather radar performance at long range-Simulated and observed. J. Appl. Meteor., 32, 975-985.
30. Kuligowski, R. J., 1997: An overview of National Weather Service quantitative precipitation estimates (QPE). Techniques Development Laboratory Office Note 97-4, 27 pp. [Available from NOAA/NWS Meteorological Development Laboratory, 1325 East-West Hwy., Silver Spring, MD 20910-3283.]
31. Kuligowski, R. J., 2002: A self-calibrating GOES rainfall algorithm for short-term rainfall estimates. J. Hydrometeor., 3, 112-130.
32. Kuligowski, R. J., S. Qui, R. A. Scofield, and A. Gruber, 2001: The NESDIS QPE verification program. Preprints, 11th Conf. on Satellite Meteorology and Oceanography, Madison, WI, Amer. Meteor. Soc., 383-384.
33. Kummerow, C., W. Barnes, T. Kozu, J. Shiue, and J. Simpson, 1998: The Tropical Rainfall Measuring Mission (TRMM) sensor package. J. Atmos. Oceanic Technol., 15, 809-817.
34. 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.
35. Lethbridge, M., 1967: Precipitation probability and satellite radiation data. Mon. Wea. Rev., 95, 487-490.
36. Manobianco, J., S. Koch, V. M. Karyampudi, and A. J. Negri, 1994: The impact of assimilating satellite-derived precipitation rates on numerical simulations of the ERICA IOP 4 cyclone. Mon. Wea. Rev., 122, 341-365.
37. Miller, S. W., P. A. Arkin, and R. Joyce, 2001: A combined microwave/infrared rain rate algorithm. Int. J. Remote Sens., 22, 3285-3307.
38. Peck, E. L., 1997: Quality of hydrometeorological data in cold regions. J. Amer. Water Resour. Assoc., 33, 125-134.
39. Petty, G. W., 1995: The status of satellite-based rainfall estimation over land. Remote Sens. Environ., 51, 125-137.
40. Petty, G. W., and W. Krajewski, 1996: Satellite rainfall estimation over land. Hydrol. Sci. J., 41, 433-451.
41. Rosenfield, D., and G. Gutman, 1994: Retrieving microphysical properties near the tops of potential rain clouds by multi spectral analysis of AVHRR data. Atmos. Res., 34, 259-283.
42. Rosenfield, D., and I. Lensky, 1998: Satellite-based insights into precipitation formation processes in continental and maritime convective clouds. Bull. Amer. Meteor. Soc., 79, 2457-2476.
43. Savage, R. C., and J. A. Weinman, 1975: Preliminary calculations of the upwelling radiance from rainclouds at 37.0 and 19.35 GHz. Bull. Amer. Meteor. Soc., 56, 1272-1274.
44. Scofield, R. A., 1987: The NESDIS operational convective precipitation estimation technique. Mon. Wea. Rev., 115, 1773-1792.
45. Scofield, R. A., 1991: Operational estimation of precipitation from satellite data. Palaeogr. Palaeoclimatol. Palaeoecol., 90, 79-86.
46. Scofield, R. A., 2001: Comments on "A quantitative assessment of the NESDIS Auto-Estimator." Wea. Forecasting, 16, 277-278.
47. Scofield, R. A., and V. J. Oliver, 1977: A scheme for estimating convective rainfall from satellite imagery. NOAA Tech. Memo. NESS 86, 47 pp.
48. Scofield, R. A., and L. E. Spayd Jr., 1984: A technique that uses satellite, radar, and conventional data for analyzing and short-range forecasting of precipitation from extratropical cyclones. NOAA Tech. Memo. NESDIS 8, 51 pp.
49. Scofield, R. A., M. DeMaria, and R. Alfaro, 2001: Space-based rainfall capabilities in hurricanes offshore and inland. Preprints, Symp. on Precipitation Extremes: Prediction, Impacts, and Response, Albuquerque, NM, Amer. Meteor. Soc., 297-301.
50. Scofield, R. A., R. J. Kuligowski, and C. Davenport, 2003: From satellite quantitative precipitation estimates (QPE) to nowcasts for extreme precipitation events. Preprints, 17th Conf. on Hydrology, Long Beach, CA, Amer. Meteor. Soc., CD-ROM, J4.2.
51. Seo, D. J., and J P. Breidenbach, 2002: Real-time correction of spatially nonuniform bias in radar rainfall data using rain gauge measurements. J. Hydrometeor., 3, 93-111.
52. Seo, D. J., J P. Breidenbach, R. Fulton, and D. Miller, 2000: Real-time adjustment of range-dependent biases in WSR-88D rainfall estimates due to nonuniform vertical profile of reflectivity. J. Hydrometeor., 1, 222-240.
53. Shi, J., and R. A. Scofield, 1987: Satellite observed mesoscale convective system (MCS) propagation characteristics and a 3-12 hour heavy precipitation forecast index. NOAA Tech. Memo. NESDIS 20, 43 pp.
54. Smith, E. A., and Coauthors, 1998: Results of WetNet PIP-2 project. J. Atmos. Sci., 55, 1483-1536.
55. Smith, J. A., A. A. Bradley, and M. L. Baeck, 1994: The space-time structure of extreme storm rainfall in the southern plains. J. Appl. Meteor., 33, 1402-1417.
56. Smith, J. A., D.-J. Seo, M. L. Baeck, and M. D. Hudlow, 1996: An intercomparison study of NEXRAD precipitation estimates. Water Resour. Res., 32, 2035-2045.
57. Sorooshian, S., K.-L. Hsu, X. Gao, H. V. Gupta, B. Imam, and D. Braithwaite 2000: An evaluation of PERSIANN system satellite-based estimates of tropical rainfall. Bull. Amer. Meteor. Soc., 81, 2035-2046.
58. Spayd, L. E., Jr. and R. A. Scofield, 1984a: A tropical cyclone precipitation estimation technique using geostationary satellite data. NOAA Tech. Memo. NESDIS 5, 36 pp.
59. Spayd, L. E., Jr. and R. A. Scofield, 1984b: An experimental satellite-derived heavy convective rainfall short range forecasting technique. Preprints, 10th Conf. on Weather Forecasting and Analysis, Clearwater Beach, FL, Amer. Meteor. Soc., 400-408.
60. Spencer, R. W., 1986: A satellite pasive 37-GHz scattering-based method for measuring oceanic rain rates. J. Climate Appl. Meteor., 25, 754-766.
61. Spencer, R. W., H. M. Goodman, and R. E. Hood, 1989: Precipitation retrieval over land and ocean with the SSM/I: Identification and characteristics of the scattering signal. J. Atmos. Oceanic Technol., 6, 254-273
62. Todd, M. C., C Kidd, D. Kniveton, and T. J. Bellerby, 2001: A combined satellite infrared and passive microwave technique for estimation of small-scale rainfall. J. Atmos. Oceanic Technol., 18, 742-755.
63. Turk, F. J., F. S. Marzano, and E. A. Smith, 1998: Combining geostationary and SSM/I data for rapid rain rate estimation and accumulation. Preprints, Ninth Conf. on Satellite Meteorology and Oceanography, Paris, France, Amer. Meteor. Soc., 462-465.
64. Vicente, G., 1994: Hourly retrieval of precipitation rate from the combination of passive microwave and IR satellite radiometric measurements. Ph.D. dissertation, University of Wisconsin, 127 pp.
65. Vicente, G., R. A. Scofield, and W. P. Menzel, 1998: The operational GOES infrared rainfall estimation technique. Bull. Amer. Meteor. Soc., 79, 1883-1898.
66. Vicente, G., J. C. Davenport, and R. A. Scofield, 2002: The role of orographic anc parallax corrections on real time high resolution satellite rainfall rate distribution. Int. J. Remote Sens., 23, 221-230.
67. Weinman, J. A., and P. J. Guetter, 1977: Determination of rainfall distribution: from microwave radiation measured by the Nimbus 6 EMSR. J. Appl. Meteor., 16, 437-442.
68. Weng, F., L. Zhao, R. R. Ferraro, G. Poe, X. Li, and N. C. Grody, 2003: Advanced Microwave Sounding Unit (AMSU) cloud and precipitation algorithms. Radio Sci., 38, 8086-8096.
69. Westrick, K. J., C. F. Mass, and B. A. Colle, 1999: The limitations of the WSR-88D radar network for quantitative precipitation measurement over the western United States. Bull. Amer. Meteor. Soc., 80, 2289-2298.
70. World Meteorological Organization, 1999: Estimating the amount of rainfall associated with tropical cyclones using satellite techniques. WMO/TD No. 975, TCP-42, 294 pp.
71. Young, C. B., B. R. Nelson, A. A. Bradley, J. A. Smith, C. D. Peters-Lidard, A. Kruger, and M. L. Baeck, 1999: An evaluation of NEXRAD precipitation estimates in complex terrain. J. Geophys. Res., 104, 19 691-19 703.
72. Young, C. B., A. A. Bradley, W. F. Krajewski, A. Kruger, and M. L. Morrissey, 2000: Evaluating NEXRAD multisensor precipitation estimates for operational hydrologic forecasting. J. Hydrometeor., 1, 241-254.
73. Zhang, M., and R. A. Scofield, 1994: Artificial neural network techniques for estimating convective rainfall and recognizing cloud mergers from satellite data. Int. J. Remote Sens., 15, 3241-3261.