Continental Passive Microwave-Based Rainfall Estimation Algorithm: Application to the Amazon Basin

Journal of Applied Meteorology and Climatology - Tập 47 Số 7 - Trang 1962-1981 - 2008
Thiago Biscaro1, Carlos A. Morales2
1Centro de Previsão de Tempo e Estudos Climáticos, Instituto Nacional de Pesquisas Espaciais, São Paulo, Brazil
2Departamento de Ciências Atmosféricas, Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo, São Paulo, Brazil

Tóm tắt

Abstract This paper presents a new statistical algorithm to estimate rainfall over the Amazon Basin region using the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI). The algorithm relies on empirical relationships derived for different raining-type systems between coincident measurements of surface rainfall rate and 85-GHz polarization-corrected brightness temperature as observed by the precipitation radar (PR) and TMI on board the TRMM satellite. The scheme includes rain/no-rain area delineation (screening) and system-type classification routines for rain retrieval. The algorithm is validated against independent measurements of the TRMM–PR and S-band dual-polarization Doppler radar (S-Pol) surface rainfall data for two different periods. Moreover, the performance of this rainfall estimation technique is evaluated against well-known methods, namely, the TRMM-2A12 [the Goddard profiling algorithm (GPROF)], the Goddard scattering algorithm (GSCAT), and the National Environmental Satellite, Data, and Information Service (NESDIS) algorithms. The proposed algorithm shows a normalized bias of approximately 23% for both PR and S-Pol ground truth datasets and a mean error of 0.244 mm h−1 (PR) and −0.157 mm h−1 (S-Pol). For rain volume estimates using PR as reference, a correlation coefficient of 0.939 and a normalized bias of 0.039 were found. With respect to rainfall distributions and rain area comparisons, the results showed that the formulation proposed is efficient and compatible with the physics and dynamics of the observed systems over the area of interest. The performance of the other algorithms showed that GSCAT presented low normalized bias for rain areas and rain volume [0.346 (PR) and 0.361 (S-Pol)], and GPROF showed rainfall distribution similar to that of the PR and S-Pol but with a bimodal distribution. Last, the five algorithms were evaluated during the TRMM–Large-Scale Biosphere–Atmosphere Experiment in Amazonia (LBA) 1999 field campaign to verify the precipitation characteristics observed during the easterly and westerly Amazon wind flow regimes. The proposed algorithm presented a cumulative rainfall distribution similar to the observations during the easterly regime, but it underestimated for the westerly period for rainfall rates above 5 mm h−1. NESDIS1 overestimated for both wind regimes but presented the best westerly representation. NESDIS2, GSCAT, and GPROF underestimated in both regimes, but GPROF was closer to the observations during the easterly flow.

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Tài liệu tham khảo

Adams, W. J. , and Coauthors, 2002: Global Precipitation Measurement white paper. NASA/GSFC GPM Rep. 8, 31 pp.

Adler, 1994, Global tropical rain rate estimates from microwave-adjusted geosynchronous IR data., Remote Sens. Rev., 11, 125, 10.1080/02757259409532262

Adler, 2001, Intercomparison of global precipitation products: The third precipitation intercomparison project (PIP-3)., Bull. Amer. Meteor. Soc., 82, 1377, 10.1175/1520-0477(2001)082<1377:IOGPPT>2.3.CO;2

Anagnostou, 1997, Stratiform and convective classification of rainfall using SSM/I 85-GHz brightness temperature observations., J. Atmos. Oceanic Technol., 14, 570, 10.1175/1520-0426(1997)014<0570:SACCOR>2.0.CO;2

Anagnostou, 2002, Rainfall estimation from TOGA radar observations during LBA field campaign., J. Geophys. Res., 107, 10.1029/2001JD000377

Calheiros, 1987, Reflectivity–rain rate relationships for radar hydrology in Brazil., J. Climate Appl. Meteor., 26, 118, 10.1175/1520-0450(1987)026<0118:RRRRFR>2.0.CO;2

Carey, L. D., R.Cifelli, W. A.Petersen, and S. A.Rutledge, 2000: Preliminary report on TRMM-LBA rainfall estimation using the S-Pol radar. Colorado State University Dept. of Atmospheric Science Paper 697, 19 pp.

Evans, 1995, A Bayesian approach to microwave precipitation profile retrieval., J. Appl. Meteor., 34, 260, 10.1175/1520-0450-34.1.260

Ferraro, 1995, The development of SSM/I rain-rate retrieval algorithms using ground-based radar measurements., J. Atmos. Oceanic Technol., 12, 755, 10.1175/1520-0426(1995)012<0755:TDOSRR>2.0.CO;2

Ferraro, 1998, A screening methodology for passive microwave precipitation retrieval algorithms., J. Atmos. Sci., 55, 1583, 10.1175/1520-0469(1998)055<1583:ASMFPM>2.0.CO;2

Grody, 1991, Classification of snow cover and precipitation using the special sensor microwave imager., J. Geophys. Res., 96, 7423, 10.1029/91JD00045

Herdies, 2002, Moisture budget of the bi-modal pattern of the summer circulation over South America., J. Geophys. Res., 107, 10.1029/2001JD000997

Keeler, R., J. J.Lutz, and J.Vivekanandan, 2000: S-Pol: NCAR’s polarimetric Doppler research radar. Proc. IGARSS 2000, Vol. 4, Honolulu, HI, IEEE, 1570–1573.

Kidd, 1998, The advantages and disadvantages of statistically derived, empirically calibrated passive microwave algorithms for rainfall estimation., J. Atmos. Sci., 55, 1576, 10.1175/1520-0469(1998)055<1576:TAADOS>2.0.CO;2

Kodama, 1992, Large-scale common features of the subtropical precipitation zones (the Baiu frontal zone, the SPCZ, and the SACZ). Part I: Characteristics of subtropical zones., J. Meteor. Soc. Japan, 70, 813, 10.2151/jmsj1965.70.4_813

Kummerow, 1993, On the accuracy of the Eddington approximation for radiative transfer in the microwave frequencies., J. Geophys. Res., 98, 2757, 10.1029/92JD02472

Kummerow, 1998, The Tropical Rainfall Measuring Mission (TRMM) sensor package., J. Atmos. Oceanic Technol., 15, 809, 10.1175/1520-0426(1998)015<0809:TTRMMT>2.0.CO;2

Kummerow, 2001, The evolution of the Goddard profiling algorithm (GPROF) for rainfall estimation from passive microwave sensors., J. Appl. Meteor., 40, 1801, 10.1175/1520-0450(2001)040<1801:TEOTGP>2.0.CO;2

Liebmann, 1999, Submonthly convective variability over South America and the South Atlantic Convergence Zone., J. Climate, 12, 1877, 10.1175/1520-0442(1999)012<1877:SCVOSA>2.0.CO;2

Morales, 2003, Extending the capabilities of high-frequency rainfall estimation from geostationary-based satellite infrared via a network of long-range lightning observations., J. Hydrometeor., 4, 141, 10.1175/1525-7541(2003)4<141:ETCOHR>2.0.CO;2

Mugnai, 1988, Radiative transfer to space through a precipitating cloud at multiple microwave frequencies. Part I: Model description., J. Appl. Meteor., 27, 1055, 10.1175/1520-0450(1988)027<1055:RTTSTA>2.0.CO;2

Negri, 1995, Evaluation of passive microwave precipitation algorithms in wintertime midlatitude situations., J. Atmos. Oceanic Technol., 12, 20, 10.1175/1520-0426(1995)012<0020:EOPMPA>2.0.CO;2

Rickenbach, 2002, Modulation of convection in the southwestern Amazon basin by extratropical stationary fronts., J. Geophys. Res., 107, 10.1029/2000JD000263

Rutledge, S. A. , cited. 2007: A science overview for the NSF component of TRMM-LBA/Brazil. [Available online at http://cloud1.arc.nasa.gov/trmmlba/overview.html.].

Schumacher, 2003, Stratiform rain in the tropics as seen by the TRMM precipitation radar., J. Climate, 16, 1739, 10.1175/1520-0442(2003)016<1739:SRITTA>2.0.CO;2

Shin, 2000, A summary of reflectivity profiles from the first year of TRMM radar data., J. Climate, 13, 4072, 10.1175/1520-0442(2000)013<4072:ASORPF>2.0.CO;2

Spencer, 1989, Precipitation retrieval over land and ocean with the SSM/I: Identification and characteristics of the scattering signal., J. Atmos. Oceanic Technol., 6, 254, 10.1175/1520-0426(1989)006<0254:PROLAO>2.0.CO;2

Viltard, 2006, Rain retrieval from TMI brightness temperature measurements using a TRMM PR-based database., J. Appl. Meteor. Climatol., 45, 455, 10.1175/JAM2346.1

Williams, 2002, Contrasting convective regimes over the Amazon: Implications for cloud electrification., J. Geophys. Res., 107, 10.1029/2001JD000380

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Journal of Applied Meteorology and Climatology

Tập 47 Số 7

1962-1981

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