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Volumn 11, Issue 6, 2010, Pages 1305-1321

REFAME: Rain estimation using forward-adjusted advection of microwave estimates

Author keywords

Advection; Cloud tracking cloud motion winds; Microwave observations; Precipitation; Radars Radar observations; Satellite observations

Indexed keywords

ALGORITHM; CLOUD CLASSIFICATION; CORRELATION; GEOSTATIONARY SATELLITE; MICROWAVE IMAGERY; PRECIPITATION INTENSITY; RADAR; RAINFALL; SATELLITE IMAGERY; SATELLITE SENSOR; WIND DIRECTION;

EID: 78651420049     PISSN: 1525755X     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010JHM1248.1     Document Type: Article
Times cited : (37)

References (38)
  • 1
    • 0027505479 scopus 로고
    • Estimation of monthly rainfall over Japan and surrounding waters from a combination of low-orbit microwave and geosynchronous IR data
    • Adler, R. F., A. J. Negri, P. R. Keehn, and I. M. Hakkarinen, 1993: Estimation of monthly rainfall over Japan and surrounding waters from a combination of low-orbit microwave and geosynchronous IR data. J. Appl. Meteor., 32, 335-356.
    • (1993) J. Appl. Meteor. , vol.32 , pp. 335-356
    • Adler, R.F.1    Negri, A.J.2    Keehn, P.R.3    Hakkarinen, I.M.4
  • 2
    • 0035416433 scopus 로고    scopus 로고
    • GOES multispectral rainfall algorithm (GMSRA)
    • Ba, M. B., and A. Gruber, 2001: GOES multispectral rainfall algorithm (GMSRA). J. Appl. Meteor., 40, 1500-1514.
    • (2001) J. Appl. Meteor. , vol.40 , pp. 1500-1514
    • Ba, M.B.1    Gruber, A.2
  • 3
    • 68049111251 scopus 로고    scopus 로고
    • Evaluating the utility of multispectral information in delineating the areal extent of precipitation
    • Behrangi,A., K.-L.Hsu,B. Imam, S. Sorooshian, and R. J. Kuligowski, 2009a: Evaluating the utility of multispectral information in delineating the areal extent of precipitation. J. Hydrometeor., 10, 684-700.
    • (2009) J. Hydrometeor. , vol.10 , pp. 684-700
    • Behrangi, A.1    Hsu, K.-L.2    Imam, B.3    Sorooshian, S.4    Kuligowski, R.J.5
  • 4
    • 77952649744 scopus 로고    scopus 로고
    • PERSIANN-MSA: A precipitation estimation method from satellite-based multispectral analysis
    • Behrangi,A., K.-L.Hsu,B. Imam, S. Sorooshian, G. J. Huffman, and R. J. Kuligowski, 2009b: PERSIANN-MSA: A precipitation estimation method from satellite-based multispectral analysis. J. Hydrometeor., 10, 1414-1429.
    • (2009) J. Hydrometeor. , vol.10 , pp. 1414-1429
    • Behrangi, A.1    Hsu, K.-L.2    Imam, B.3    Sorooshian, S.4    Huffman, G.J.5    Kuligowski, R.J.6
  • 5
    • 77955562846 scopus 로고    scopus 로고
    • Daytime precipitation estimation using bispectral cloud classification system
    • Behrangi,A., K.-L.Hsu,B. Imam, and R. J. Kuligowski, 2010: Daytime precipitation estimation using bispectral cloud classification system. J. Appl. Meteor. Climatol., 49, 1015-1031.
    • (2010) J. Appl. Meteor. Climatol. , vol.49 , pp. 1015-1031
    • Behrangi, A.1    Hsu, K.-L.2    Imam, B.3    Kuligowski, R.J.4
  • 6
    • 33845629732 scopus 로고    scopus 로고
    • High-resolution 2-D cloud-top advection from geostationary satellite imagery
    • Bellerby, T., 2006: High-resolution 2-D cloud-top advection from geostationary satellite imagery. IEEE Trans. Geosci. Remote Sens., 44, 3639-3648.
    • (2006) IEEE Trans. Geosci. Remote Sens. , vol.44 , pp. 3639-3648
    • Bellerby, T.1
  • 7
    • 77952658624 scopus 로고    scopus 로고
    • LMODEL: A satellite precipitation methodology using cloud development modeling. Part I: Algorithm construction and calibration
    • Bellerby, T., K.-L. Hsu, and S. Sorooshian, 2009: LMODEL: A satellite precipitation methodology using cloud development modeling. Part I: Algorithm construction and calibration. J. Hydrometeor., 10, 1081-1095.
    • (2009) J. Hydrometeor. , vol.10 , pp. 1081-1095
    • Bellerby, T.1    Hsu, K.-L.2    Sorooshian, S.3
  • 8
    • 31144467990 scopus 로고    scopus 로고
    • Delineation of precipitation areas from MODIS visible and infrared imagery with artificial neural networks
    • Capacci, D., and B. J. Conway, 2005: Delineation of precipitation areas from MODIS visible and infrared imagery with artificial neural networks. Meteor. Appl., 12, 291-305.
    • (2005) Meteor. Appl. , vol.12 , pp. 291-305
    • Capacci, D.1    Conway, B.J.2
  • 11
    • 33847659625 scopus 로고    scopus 로고
    • Comparison of near-real-time precipitation estimates from satellite observations and numerical models
    • Ebert, E. E., J. E. Janowiak, and C. Kidd, 2007: Comparison of near-real-time precipitation estimates from satellite observations and numerical models. Bull.Amer.Meteor. Soc., 88, 47-64.
    • (2007) Bull. Amer. Meteor. Soc. , vol.88 , pp. 47-64
    • Ebert, E.E.1    Janowiak, J.E.2    Kidd, C.3
  • 12
  • 13
    • 0031399677 scopus 로고    scopus 로고
    • Special sensor microwave imager derived global rainfall estimates for climatological applications
    • Ferraro, R. R., 1997: Special sensor microwave imager derived global rainfall estimates for climatological applications. J. Geophys. Res., 102, 16 715-16 736.
    • (1997) J. Geophys. Res. , vol.102
    • Ferraro, R.R.1
  • 14
    • 0034352604 scopus 로고    scopus 로고
    • Precipitation characteristics over land from the NOAA-15 AMSU sensor
    • Everitt, B. S., F. Weng, N. C. Grody, and L. Zhao, 2000: Precipitation characteristics over land from the NOAA-15 AMSU sensor. Geophys. Res. Lett., 27, 2669-2672.
    • (2000) Geophys. Res. Lett. , vol.27 , pp. 2669-2672
    • Everitt, B.S.1    Weng, F.2    Grody, N.C.3    Zhao, L.4
  • 15
    • 13244261088 scopus 로고    scopus 로고
    • Precipitation Estimation from Remotely Sensed Imagery using an Artificial Neural Network cloud classification system
    • Hong, Y., K. L. Hsu, S. Sorooshian, and X. G. Gao, 2004: Precipitation Estimation from Remotely Sensed Imagery using an Artificial Neural Network cloud classification system. J. Appl. Meteor., 43, 1834-1852.
    • (2004) J. Appl. Meteor. , vol.43 , pp. 1834-1852
    • Hong, Y.1    Hsu, K.L.2    Sorooshian, S.3    Gao, X.G.4
  • 16
    • 77952614208 scopus 로고    scopus 로고
    • LMODEL: A satellite precipitation methodology using cloud development modeling. Part II: Validation
    • Hsu, K.-L., T. Bellerby, and S. Sorooshian, 2009: LMODEL: A satellite precipitation methodology using cloud development modeling. Part II: Validation. J. Hydrometeor., 10, 1096-1108.
    • (2009) J. Hydrometeor. , vol.10 , pp. 1096-1108
    • Hsu, K.-L.1    Bellerby, T.2    Sorooshian, S.3
  • 17
    • 33947356755 scopus 로고    scopus 로고
    • The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales
    • Huffman, G. J., and Coauthors, 2007: The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J. Hydrometeor., 8, 38-55.
    • (2007) J. Hydrometeor. , vol.8 , pp. 38-55
    • Huffman, G.J.1
  • 18
    • 0002851213 scopus 로고    scopus 로고
    • A real-time global half-hourly pixel-resolution infrared dataset and its applications
    • Janowiak, J. E., R. J. Joyce, and Y. Yarosh, 2001: A real-time global half-hourly pixel-resolution infrared dataset and its applications. Bull. Amer. Meteor. Soc., 82, 205-217.
    • (2001) Bull. Amer. Meteor. Soc. , vol.82 , pp. 205-217
    • Janowiak, J.E.1    Joyce, R.J.2    Yarosh, Y.3
  • 19
    • 2442514138 scopus 로고    scopus 로고
    • CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution
    • 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. Hydrometeor., 5, 487-503.
    • (2004) J. Hydrometeor. , vol.5 , pp. 487-503
    • Joyce, R.J.1    Janowiak, J.E.2    Arkin, P.A.3    Xie, P.4
  • 20
    • 78651445720 scopus 로고    scopus 로고
    • A Kalman filter approach to blend various satellite rainfall estimates in CMORPH
    • Beijing, China, IPWG
    • Joyce, R. J., P. Xie, and Y. Yarosh, 2008: A Kalman filter approach to blend various satellite rainfall estimates in CMORPH. Fourth Workshop of the IPWG, Beijing, China, IPWG, 194 pp.
    • (2008) Fourth Workshop of the IPWG , pp. 194
    • Joyce, R.J.1    Xie, P.2    Yarosh, Y.3
  • 21
    • 0842291526 scopus 로고    scopus 로고
    • Satellite rainfall estimation using combined passive microwave and infrared algorithms
    • Kidd, C., D. R. Kniveton, M. C. Todd, and T. J. Bellerby, 2003: Satellite rainfall estimation using combined passive microwave and infrared algorithms. J. Hydrometeor., 4, 1088-1104.
    • (2003) J. Hydrometeor. , vol.4 , pp. 1088-1104
    • Kidd, C.1    Kniveton, D.R.2    Todd, M.C.3    Bellerby, T.J.4
  • 22
    • 0036012193 scopus 로고    scopus 로고
    • A self-calibrating real-time GOES rainfall algorithm for short-term rainfall estimates
    • Kuligowski, R. J., 2002: A self-calibrating real-time GOES rainfall algorithm for short-term rainfall estimates. J. Hydrometeor., 3, 112-130.
    • (2002) J. Hydrometeor. , vol.3 , pp. 112-130
    • Kuligowski, R.J.1
  • 23
    • 0002944466 scopus 로고
    • A method for combining passivemicrowave and infrared rainfall observations
    • Kummerow, C., and L. Giglio, 1995: A method for combining passivemicrowave and infrared rainfall observations. J. Atmos. Oceanic Technol., 12, 33-45.
    • (1995) J. Atmos. Oceanic Technol. , vol.12 , pp. 33-45
    • Kummerow, C.1    Giglio, L.2
  • 24
    • 0035509041 scopus 로고    scopus 로고
    • The evolution of the Goddard Profiling Algorithm (GPROF) for rainfall estimation from passive microwave sensors
    • 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.
    • (2001) J. Appl. Meteor. , vol.40 , pp. 1801-1820
    • Kummerow, C.1
  • 25
    • 34547689858 scopus 로고    scopus 로고
    • The NCEP stage II/IV hourly precipitation analyses: Development and applications
    • Preprints, San Diego, CA, Amer. Meteor. Soc., 1.2., Available online at
    • Lin, Y., and K. E. Mitchell, 2005: The NCEP stage II/IV hourly precipitation analyses: Development and applications. Preprints, 19th Conf. on Hydrology, San Diego, CA, Amer. Meteor. Soc., 1.2. [Available online at http://ams.confex.com/ams/pdfpapers/83847.pdf.]
    • (2005) 19th Conf. on Hydrology
    • Lin, Y.1    Mitchell, K.E.2
  • 28
    • 0035923294 scopus 로고    scopus 로고
    • A combined microwave/infrared rain rate algorithm
    • Miller, S. W., P. A. Arkin, and R. Joyce, 2001: A combined microwave/infrared rain rate algorithm. Int. J. Remote Sens., 22, 3285-3307.
    • (2001) Int. J. Remote Sens. , vol.22 , pp. 3285-3307
    • Miller, S.W.1    Arkin, P.A.2    Joyce, R.3
  • 29
    • 34447580251 scopus 로고    scopus 로고
    • A comparative study of the k-means algorithm and the normal mixture model for clustering: Univariate case
    • Qiu, D., and A. C. Tamhane, 2007: A comparative study of the k-means algorithm and the normal mixture model for clustering: Univariate case. J. Stat. Plann. Infer., 137, 3722- 3740.
    • (2007) J. Stat. Plann. Infer. , vol.137 , pp. 3722-3740
    • Qiu, D.1    Tamhane, A.C.2
  • 30
    • 65349150670 scopus 로고    scopus 로고
    • An intercomparison and validation of high-resolution satellite precipitation estimates with 3-hourly gauge data
    • Sapiano, M. R. P., and P. A. Arkin, 2009: An intercomparison and validation of high-resolution satellite precipitation estimates with 3-hourly gauge data. J. Hydrometeor., 10, 149-166.
    • (2009) J. Hydrometeor. , vol.10 , pp. 149-166
    • Sapiano, M.R.P.1    Arkin, P.A.2
  • 32
    • 34548596039 scopus 로고    scopus 로고
    • Multitemporal analysis of TRMM-based satellite precipitation products for land data assimilation applications
    • Tian, Y., C. D. Peters-Lidard, B. J. Choudhury, and M. Garcia, 2007: Multitemporal analysis of TRMM-based satellite precipitation products for land data assimilation applications. J. Hydrometeor., 8, 1165-1183.
    • (2007) J. Hydrometeor. , vol.8 , pp. 1165-1183
    • Tian, Y.1    Peters-Lidard, C.D.2    Choudhury, B.J.3    Garcia, M.4
  • 33
    • 0035332685 scopus 로고    scopus 로고
    • A combined satellite infrared and passive microwave technique for estimation of small-scale rainfall
    • 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.
    • (2001) J. Atmos. Oceanic Technol. , vol.18 , pp. 742-755
    • Todd, M.C.1    Kidd, C.2    Kniveton, D.3    Bellerby, T.J.4
  • 34
    • 85168883669 scopus 로고    scopus 로고
    • Meteorological applications of precipitation estimation from combined SSM/I, TRMM, and infrared geostationary satellite data
    • P. Pampaloni and S. Paloscia, Eds., VSP International Science Publishers
    • Turk, F. J., G. D. Rohaly, J. Hawkins, E. A. Smith, F. S. Marzano, A. Mugnai, and V. Levizzani, 2000: Meteorological applications of precipitation estimation from combined SSM/I, TRMM, and infrared geostationary satellite data. Microwave Radiometry and Remote Sensing of the Earth's Surface and Atmosphere, P. Pampaloni and S. Paloscia, Eds., VSP International Science Publishers, 353-363.
    • (2000) Microwave Radiometry and Remote Sensing of the Earth's Surface and Atmosphere , pp. 353-363
    • Turk, F.J.1    Rohaly, G.D.2    Hawkins, J.3    Smith, E.A.4    Marzano, F.S.5    Mugnai, A.6    Levizzani, V.7
  • 35
    • 70349365040 scopus 로고    scopus 로고
    • A Kalman filter approach to the Global Satellite Mapping of Precipitation (GSMaP) from combined passivemicrowave and infrared radiometric data
    • Ushio, T., and Coauthors, 2009: A Kalman filter approach to the Global Satellite Mapping of Precipitation (GSMaP) from combined passivemicrowave and infrared radiometric data. J. Meteor. Soc. Japan, 87A, 137-151.
    • (2009) J. Meteor. Soc. Japan , vol.87 A , pp. 137-151
    • Ushio, T.1
  • 36
    • 0032458688 scopus 로고    scopus 로고
    • The operational GOES infrared rainfall estimation technique
    • Vicente, G. A., R. A. Scofield, and W. P. Menzel, 1998: The operational GOES infrared rainfall estimation technique. Bull. Amer. Meteor. Soc., 79, 1883-1898.
    • (1998) Bull. Amer. Meteor. Soc. , vol.79 , pp. 1883-1898
    • Vicente, G.A.1    Scofield, R.A.2    Menzel, W.P.3
  • 37
    • 20344369895 scopus 로고    scopus 로고
    • Advanced microwave sounding unit (AMSU) cloud and precipitation algorithm
    • Weng, F. W., L. Zhao, R. Ferraro, G. Pre, X. Li, and N. C. Grody, 2003: Advanced microwave sounding unit (AMSU) cloud and precipitation algorithm. Radio Sci., 38, 8068-8079.
    • (2003) Radio Sci. , vol.38 , pp. 8068-8079
    • Weng, F.W.1    Zhao, L.2    Ferraro, R.3    Pre, G.4    Li, X.5    Grody, N.C.6
  • 38
    • 0032824040 scopus 로고    scopus 로고
    • A microwave infrared threshold technique to improve the GOES precipitation index
    • Xu, L., X. Gao, S. Sorooshian, P. A. Arkin, and B. Imam, 1999: A microwave infrared threshold technique to improve the GOES precipitation index. J. Appl. Meteor., 38, 569-579.
    • (1999) J. Appl. Meteor. , vol.38 , pp. 569-579
    • Xu, L.1    Gao, X.2    Sorooshian, S.3    Arkin, P.A.4    Imam, B.5


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