A conceptual model for constructing high-resolution gauge-satellite merged precipitation analyses

Journal of Geophysical Research Atmospheres

Volumn 116, Issue 21, 2011, Pages

  Xie, Pingping ^a   Xiong, An Yuan ^b  

^a NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^b NATIONAL SATELLITE METEOROLOGICAL CENTER   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR STATISTICS; ESTIMATION; PROBABILITY DENSITY FUNCTION; SATELLITES;

BIAS CORRECTION; CO-LOCATED; CONCEPTUAL MODEL; CROSS-VALIDATION TESTS; DATA PAIRS; GRID-BOX; HIGH RESOLUTION; OPTIMAL INTERPOLATION; PROBABILITY DENSITY FUNCTION (PDF); SATELLITE DATA; SATELLITE PRECIPITATION ESTIMATES; SPATIAL DOMAINS; TIME-PERIODS;

GAGES;

ATMOSPHERIC CORRECTION; COMPARATIVE STUDY; CONCEPTUAL FRAMEWORK; ERROR ANALYSIS; INTERPOLATION; PRECIPITATION INTENSITY; PROBABILITY; RAINGAUGE; SATELLITE DATA; SPATIOTEMPORAL ANALYSIS; SPECTRAL RESOLUTION;

CHINA;

EID: 80755126989     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2011JD016118     Document Type: Article

References (69)

1. Adler, R. F., C. Kidd, G. Petty, M. Morrisey, and H. M. Goodman (2001), Intercomparison of global precipitation products: The Third Precipitation Intercomparison Project (PIP-3), Bull. Am. Meteorol. Soc., 82, 1377-1396, doi:10.1175/1520-0477(2001)082〈1377:IOGPPT〉2.3.CO;2. (Pubitemid 33626286)
2. Amitai, E., B. Thill, J. Gourley, and S. Vasiloff (2011), Gauge adjustment of instantaneous radar fields over the entire continental U.S., paper presented at the 2011 World Environmental and Water Resources Congress (EWRI), Environ. and Water Resour. Inst., Am. Soc. of Civ. Eng., Palm Springs, Calif., 22-25 May.
3. Arkin, P. A., and P. Xie (1994), The Global Precipitation Climatology Project: First Algorithm Intercomparison Project, Bull. Am. Meteorol. Soc., 75, 401-419, doi:10.1175/1520-0477(1994)075〈0401:TGPCPF〉2.0.CO;2. (Pubitemid 24405245)
4. Bell, T. L., and P. K. Kundu (2000), Dependence of satellite sampling error on monthly averaged rain rates: Comparisons of simple models and recent studies, J. Clim., 13, 449-462, doi:10.1175/1520-0442(2000)013〈0449: DOSSEO〉2.0.CO;2. (Pubitemid 30195132)
5. Boushaki, F. I., K.-L. Hsu, S. Sorooshian, G.-H. Park, A. Mahani, and W. Shi (2009), Bias adjustment of satellite precipitation estimation using ground-based measurement: A case study evaluation over the southwestern United States, J. Hydrometeorol., 10, 1231-1242, doi:10.1175/2009JHM1099.1.
6. Chen, M., W. Shi, P. Xie, V. B. S. Silver, V. E. Kousky, and J. E. Janowiak (2008), Assessing objective techniques for gauge-based analyses of global daily precipitation, J. Geophys. Res., 113, D04110, doi:10.1029/ 2007JD009132.
7. Chiang, Y.-M., K.-L. Hsu, F.-J. Chang, Y. Hong, and S. Sorooshian (2007), Merging multiple precipitation sources for flash flood forecasting, J. Hydrol. Amsterdam, 340, 183-196, doi:10.1016/j.jhydrol. 2007.04.007. (Pubitemid 46935785)
8. Ciach, G. J., and W. F. Krajewski (1997), Error separation in remote sensing rainfall estimation, paper presented at 13th Conference on Hydrology, Am. Meteorol. Soc., Boston, Mass.
9. Ciach, G. J., and W. F. Krajewski (1999), On the estimation of radar rainfall error variance, Adv. Water Resour., 22, 585-595, doi:10.1016/S0309- 1708(98)00043-8. (Pubitemid 29253166)
10. Ciach, G. J., W. F. Krajewski, E. N. Anagnostou, M. L. Baeck, J. A. Smith, J. R. McCollum, and A. K. Kruger (1997), Radar rainfall estimation for ground validation studies of the tropical rainfall measuring mission, J. Appl. Meteorol., 36, 735-747, doi:10.1175/1520-0450-36.6.735.
11. Dai, A., and T. M. L. Wigley (2000), Global patterns of ENSO induced precipitation, Geophys. Res. Lett., 27, 1283-1286, doi:10.1029/1999GL011140. (Pubitemid 32040560)
12. Daly, R. (1991), Atmospheric Data Analysis, pp. 101-106, Cambridge Univ. Press, New York.
13. Ebert, E. E., M. J. Manton, P. A. Arkin, R. J. Allam, G. E. Holpin, and A. J. Gruber (1996), Results from the GPCP Algorithm Intercomparison Programme, Bull. Am. Meteorol. Soc., 77, 2875-2887, doi:10.1175/1520-0477(1996) 077〈2875:RFTGAI〉2.0.CO;2.
14. Ebert, E. E., J. E. Janowiak, and C. Kidd (2007), Comparison of near-real-time precipitation estimates from satellite observations and numerical models, Bull. Am. Meteorol. Soc., 88(1), 47-64, doi:10.1175/BAMS-88-1-47. (Pubitemid 46351194)
15. Ferraro, R. R. (1997), SSM/I derived global rainfall estimates for climato-logical applications, J. Geophys. Res., 102, 16,715-16,735, doi:10.1029/97JD01210.
16. Gandin, L. S. (1965), Objective Analysis of Meteorological Fields, 242 pp., Isr. Prog. for Sci. Trans, Jerusalem.
17. Gupta, R., V. Venugopal, and E. Foufoula-Georgiou (2006), A methodology for merging multisensor precipitation estimates based on expectation- maximization and scale-recursive estimation, J. Geophys. Res., 111, D02102, doi:10.1029/2004JD005568.
18. Hong, Y., R. F. Adler, A. J. Negri, and G. J. Huffman (2007a), Flood and landslide applications of high-resolution satellite rainfall products, J. Nat. Hazards, 43(2), 285-294, doi:10.1007/s11069-006-9106-x. (Pubitemid 47555155)
19. Hong, Y., D. Gochis, J.-T. Cheng, K. L. Hsu, and S. Sorooshian (2007b), Evaluation of PERSIANN-CCS rainfall measurement using the NAME event rain gauge network, J. Hydrometeorol., 8, 469-482, doi:10.1175/JHM574.1. (Pubitemid 47091131)
20. Hsu, K.-L., X. Gao, S. Sorooshian, and V. Gupta (1997), Precipitation estimation from remotely sensed information using artificial neural networks, J. Appl. Meteorol., 36, 1176-1190, doi:10.1175/1520-0450 (1997)036〈1176: PEFRSI〉2.0.CO;2.
21. Huffman, G. J. (1997), Estimates of root-mean-square random error contained in finite sets of estimated precipitation, J. Appl. Meteorol., 36, 1191-1201, doi:10.1175/1520-0450(1997)036〈1191:EORMSR〉2.0. CO;2. (Pubitemid 127560168)
22. Huffman, G. J., R. F. Adler, P. Arkin, A. Chang, R. Ferraro, A. Gruber, J. Janowiak, A. McNab, B. Rudolf, and U. Schneider (1997), The Global Precipitation Climatology Project (GPCP) Version 1 data set, Bull. Am. Meteorol. Soc., 78, 5-20, doi:10.1175/1520-0477(1997)078〈0005: TGPCPG〉2.0.CO;2.
23. Huffman, G. J., R. F. Adler, E. F. Stoker, D. T. Bolvin, and E. J. Nelkin (2004), Analyses of TRMM 3-hourly multi-satellite precipitation estimates computed in both real and post-real time, paper presented at the 12th Conference on Satellite Meteorology and Oceanography, Am. Meteorol. Soc., Seattle, Wash., 11-15 Jan.
24. Huffman, G. J., R. F. Adler, D. T. Bolvin, G. Gu, E. J. Nelkin, K. P. Bowman, E. F. Stocker, and D. B. Wolff (2007), The TRMM multi-satellite precipitation analysis: Quasi-global, multi-year, combined-sensor precipitation estimates at fine scale, J. Hydrometeorol., 8, 38-55, doi:10.1175/JHM560.1. (Pubitemid 46444451)
25. Huffman, G. J., R. F. Adler, D. T. Bolvin, and E. J. Nelkin (2009), The TRMM Multi-satellite Precipitation Analysis (TMPA), in Satellite Applications for Surface Hydrology, edited by F. Hossain and M. Gebremichael, Springer-Verlag, New York.
26. Janowiak, J. E., and P. Xie (2003), A global-scale examination of monsoon-related precipitation, J. Clim., 16, 4121-4133, doi:10.1175/1520- 0442(2003)016〈4121:AGEOMP〉2.0.CO;2. (Pubitemid 38119569)
27. Janowiak, J. E., A. Gruber, C. R. Kondragunta, R. E. Levezey, and G. J. Huffman (1998), A comparison of the NCEP/NCAR reanalysis precipitation and the GPCP rain gauge-satellite combined data set with observational error considerations, J. Clim., 11, 2960-2979, doi:10.1175/1520-0442(1998) 011〈2960:ACOTNN〉2.0.CO;2. (Pubitemid 29160294)
28. Japan Meteorological Agency (1990), Meteorological data and objective analysis, Tech. Rep. 36, pp. 23-25, Predict. Div., Numer. Predict. Branch, Tokyo.
29. Joyce, R. J., and P. Xie (2011), Kalman filter based CMORPH, J. Hydro-meteorol., doi:10.1175/JHM-D-11-022.1, in press.
30. Joyce, R. J., J. E. Janowiak, P. A. Arkin, and P. Xie (2004), CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution, J. Hydrometeorol., 5, 487-503, doi:10.1175/1525-7541(2004)005〈0487: CAMTPG〉2.0.CO;2. (Pubitemid 38978529)
31. Krajewski, W. F. (1987), Cokriging radar-rainfall and rain gage data, J. Geophys. Res., 92(D8), 9571-9580, doi:10.1029/JD092iD08p09571.
32. Krajewski, W. F., G. Villarini, and J. A. Smith (2010), Radar-rainfall uncertainties: Where are we after thirty years of efforts? Bull. Am. Meteorol. Soc., 91, 87-94, doi:10.1175/2009BAMS2747.1.
33. Large, W. G., and S. Yeager (2009), The global climatology of an interannu-ally varying air-sea flux data set, Clim. Dyn., 33, 341-364, doi:10.1007/s00382-008-0441-3.
34. Lau, K.-M., and H. T. Wu (2001), Principal modes of rainfall-SST variability of the Asian summer monsoon: A reassessment of the monsoon-ENSO relationship, J. Clim., 14, 2880-2895, doi:10.1175/1520-0442(2001)014〈2880: PMORSV〉2.0.CO;2. (Pubitemid 33045289)
35. Li, Q., R. Ferraro, and N. Grody (1998), Detailed analysis of the error associated with the rainfall retrieved by the NOAA/NESDIS SSM/I algorithm 1: Tropical oceanic rainfall, J. Geophys. Res., 103(D10), 11,419-11,427, doi:10.1029/98JD00680. (Pubitemid 28444078)
36. Liang, J., and P. Xie (2007), Verifying high-resolution satellite precipitation estimates on sub-daily scales: Results for southern China, paper presented at the 21st Conference on Hydrology, Am. Meteorol. Soc., Atlanta, Ga., 15-19 Jan.
37. Lin, Y., and K. E. Mitchell (2005), The NCEP stage II/IV hourly precipitation analyses: Development and applications, paper presented at the 19th Conference on Hydrology, Am. Meteorol. Soc., San Diego, Calif.
38. Makihara, Y. (2000), Algorithms for precipitation nowcasting focused on detailed analysis using radar and raingauge data, in The Study on the Objective Forecasting Techniques, Tech. Rep. 39, pp. 63-111, Meteorol. Res. Inst., Tsukuba, Japan.
39. McCollum, J. R., A. Gruber, and M. B. Ba (2000), Discrepancy between gauges and satellite estimates of rainfall in equatorial Africa, J. Appl. Meteorol., 39, 666-679, doi:10.1175/1520-0450-39.5.666. (Pubitemid 30423372)
40. McCollum, J. R., W. F. Krajewski, R. R. Ferraro, and M. B. Ba (2002), Evaluation of biases of satellite rainfall estimation algorithms over the continental United States, J. Appl. Meteorol., 41, 1065-1080, doi:10.1175/1520-0450(2002)041〈1065:EOBOSR〉2.0.CO;2. (Pubitemid 36029554)
41. Morrissey, M. L., J. A. Maliekal, J. S. Greene, and J. Wang (1995), The uncertainty of simple averages using rain gauge networks, Water Resour. Res., 31, 2011-2017, doi:10.1029/95WR01232. (Pubitemid 26445727)
42. Nelson, B. R., D. J. Seo, and D. Kim (2010), Multisensor precipitation reanalysis, J. Hydrometeorol., 11, 666-682, doi:10.1175/2010JHM1210.1
43. Reynolds, R. W. (1988), A real-time global sea surface temperature analysis, J. Clim., 1, 75-87, doi:10.1175/1520-0442(1988)001〈0075: ARTGSS〉2.0.CO;2.
44. Reynolds, R. W., and T. M. Smith (1994), Improved global sea surface temperature analyses using optimum interpolation, J. Clim., 7, 929-948, doi:10.1175/1520-0442(1994)007〈0929:IGSSTA〉2.0.CO;2.
45. Roads, J. O., S. C. Chen, and F. Fujioka (2001), ECPC's weekly to seasonal global forecasts, Bull. Am. Meteorol. Soc, 82, 639-658, doi:10.1175/1520-0477(2001)082〈0639:EWTSGF〉2.3.CO;2. (Pubitemid 33622653)
46. Schneider, U. (1993), The GPCC quality-control system for gauge-measured precipitation data, in Proceedings of Analysis Methods for Precipitation on a Global Scale: Report of a GEWEX Workshop, Tech. Doc. WMO/TD-588, pp. A5-A9, World Meteorol. Org., Geneva, Switzerland.
47. Seo, D. J. (1999), Real-time estimation of rainfall fields using rain gauge data under fractional coverage conditions, J. Hydrol. Amsterdam, 223, 131-147, doi:10.1016/S0022-1694(99)00106-7. (Pubitemid 29478411)
48. Seo, D. J., and J. P. Breidenbach (2002), Real-time correction of spatially nonuniform bias in radar rainfall data using rain gauge measurements, J. Hydrometeorol., 3, 93-111, doi:10.1175/1525-7541(2002)003〈0093: RTCOSN〉2.0.CO;2.
49. Seo, D.-J., J. P. Breidenbach, R. A. Fulton, D. A. Miller, and T. O'Bannon (2000), Real-time adjustment of range-dependent bias in WSR-88D rainfall data due to nonuniform vertical profile of reflectivity, J. Hydrometeorol, 1, 222-240, doi:10.1175/1525-7541(2000)001〈0222: RTAORD〉2.0.CO;2.
50. Shen, Y., A.-Y. Xiong, Y. Wang, and P. Xie (2010), Performance of high-resolution satellite precipitation products over China, J. Geophys. Res., 115, D02114, doi:10.1029/2009JD012097.
51. Smith, T. M., P. A. Arkin, J. J. Bates, and G. J. Huffman (2006), Estimating bias of satellite-based precipitation estimates, J. Hydrometeorol., 7, 841-856, doi:10.1175/JHM524.1. (Pubitemid 44734300)
52. Tian, Y., C. D. Peters-Lidard, B. Choudhury, and M. Garcia (2007), Multi-temporal Analysis of TRMM-based satellite precipitation products for land data assimilation applications, J. Hydrometeorol, 8, 1165-1183, doi:10.1175/2007JHM859.1.
53. Tian, Y., C. D. Peters-Lidard, J. B. Eylander, R. J. Joyce, G. J. Huffman, R. F. Adler, K.-L. Hus, F. J. Turk, M. Garcia, and J. Zeng (2009), Component analysis of errors in satellite-based precipitation estimates, J. Geophys. Res., 114, D24101, doi:10.1029/2009JD011949.
54. Trenberth, K. E., and J. M. Caron (2000), The Southern Oscillation revisited: Sea level pressures, surface temperatures, and precipitation, J. Clim., 13, 4358-4365, doi:10.1175/1520-0442(2000)013〈4358:TSORSL〉2.0. CO;2.
55. Turk, F. J., E. E. Ebert, B.-J. Sohn, H.-J. Oh, V. Levizzani, E. A. Smith, and R. Ferraro (2004), Validation of an operational global precipitation analysis at short time scales, paper presented at the12th Conference on Satellite Meteorology and Oceanography, Am. Meteorol. Soc, Seattle, Wash., 11-15 Jan.
56. Ushio, T., et al. (2009), A Kalman filter approach to the global satellite mapping of precipitation (GSMaP) from combined passive microwave and infrared radiometric data, J. Meteorol. Soc. Jpn., 87A, 137-151, doi:10.2151/jmsj.87A.137.
57. Villarini, G., and W. F. Krajewski (2008), Empirically based modeling of spatial sampling uncertainties associated with rainfall measurements by rain gauges, Adv. Water Resour., 31, 1015-1023, doi:10.1016/j.advwatres. 2008.04.007.
58. Wang, J.-K. (2010), The representation of the rain gauges in estimating the mean areal precipitation and standard deviation of the rain rate during the "Plum Rain" in Anhui province, China, paper presented at the 3rd International Conference on QPE/QPF and Hydrology, World Meteorol. Org., Nanjing, China, 18-22 Oct.
59. Wang, W., and P. Xie (2007), A multiplatform-merged (MPM) SST analysis, J. Clim., 20, 1662-1679, doi:10.1175/JCLI4097.1. (Pubitemid 46831912)
60. Wang, W., P. Xie, S. H. Yoo, Y. Xue, A. Kumar, and X. Wu (2010), An assessment of the surface climate in the NCEP climate forecast system reanalysis, Clim. Dyn.
61. Xie, P., and P. A. Arkin (1995), An intercomparison of gauge observations and satellite estimates of monthly precipitation, J. Appl. Meteorol, 34, 1143-1160, doi:10.1175/1520-0450(1995)034〈1143:AIOGOA〉2.0. CO;2.
62. Xie, P., and P. A. Arkin (1996), Analyses of global monthly precipitation using gauge observations, satellite estimates, and numerical model predictions, J. Clim., 9, 840-858, doi:10.1175/1520-0442(1996)009〈0840: AOGMPU〉2.0.CO;2.
63. Xie, P., and P. A. Arkin (1997), Global precipitation: A 17-year monthly analyses based on gauge observations, satellite estimates, and numerical model outputs, Bull. Am. Meteorol. Soc, 78, 2539-2558, doi:10.1175/1520-0477(1997) 078〈2539:GPAYMA〉2.0.CO;2.
64. Xie, P., M. Chen, A. Yatagai, T. Hayasaka, Y. Fukushima, and S. Yang (2007), A gauge-based analysis of daily precipitation over East Asia, J. Hydrometeorol., 8, 607-626, doi:10.1175/JHM583.1. (Pubitemid 47091139)
65. Xie, P., S.-H. Yoo, R. J. Joyce, and Y. Yarosh (2011), Bias-corrected CMORPH: A 13-year analysis of high-resolution global precipitation, paper presented at the 2011 EGU General Assembly, Eur. Geosci. Union, Vienna, Italy, 4-8 April.
66. Xu, B., and P. Xie (2010), Quantifying error in the CMORPH satellite precipitation estimates, Abstract H14A-06 presented at 2010 Fall Meeting, AGU, San Francisco, Calif., 13-17 Dec.
67. Xue, Y., et al. (2005), Multiscale variability of the river runoff system in China and its long-term link to precipitation and sea surface temperature, J. Hydrometeorol., 6, 550-570, doi:10.1175/JHM439.1. (Pubitemid 41419779)
68. Zepeda-Arce, J., and E. Foufoula-Georgiou (2000), Space-time rainfall organization and its role in validating quantitative precipitation forecasts, J. Geophys. Res., 105, 10,129-10,146, doi:10.1029/1999JD901087.
69. Zhang, J., et al. (2009), National Mosaic and multi-sensor QPE (NMQ) system: Description, results and future plans, paper presented at the 34th Conference on Radar Meteorology, Am. Meteorol. Soc., Williamsburg, Va., 5-9 Oct.