메뉴 건너뛰기




Volumn 14, Issue 1, 2013, Pages 153-170

Comparative strengths of SCaMPR satellite QPEs with and without TRMM ingest versus gridded gauge-only analyses

Author keywords

Hydrology; Precipitation; Satellite observations

Indexed keywords

COMPARATIVE STUDY; MULTIVARIATE ANALYSIS; PRECIPITATION ASSESSMENT; RAINGAUGE; SATELLITE DATA; TRMM;

EID: 84875018906     PISSN: 1525755X     EISSN: 15257541     Source Type: Journal    
DOI: 10.1175/JHM-D-12-053.1     Document Type: Article
Times cited : (12)

References (47)
  • 1
    • 71549129349 scopus 로고    scopus 로고
    • Comparison of TRMMradar rainfall estimates with NOAANext Generation QPE
    • Amitai, E., X. Llort, and D. Sempere-Torres, 2009: Comparison of TRMMradar rainfall estimates with NOAANext Generation QPE. J. Meteor. Soc. Japan, 87A, 109-118.
    • (2009) J. Meteor. Soc. Japan , vol.87 A , pp. 109-118
    • Amitai, E.1    Llort, X.2    Sempere-Torres, D.3
  • 2
    • 80053172634 scopus 로고    scopus 로고
    • Multiplatform comparisons of rain intensity for extreme precipitation events
    • doi:101109/TGRS.2011.2162737
    • Amitai, E., W. Petersen, X. Llort, and S. Vasiloff, 2012: Multiplatform comparisons of rain intensity for extreme precipitation events. IEEE Trans. Geosci. Remote Sens., 50, 675-686, doi:10.1109/TGRS.2011.2162737.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , pp. 675-686
    • Amitai, E.1    Petersen, W.2    Llort, X.3    Vasiloff, S.4
  • 3
    • 0035416433 scopus 로고    scopus 로고
    • GOES Multispectral Rainfall Algorithm (GMSRA)
    • Ba, M., 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.1    Gruber, A.2
  • 4
    • 79954432256 scopus 로고    scopus 로고
    • Assessment of satellite rainfall products for streamflow simulation in medium watersheds of the Ethiopian highlands
    • Bitew, M. M., and M. Gebremichael, 2011: Assessment of satellite rainfall products for streamflow simulation in medium watersheds of the Ethiopian highlands. Hydrol. Earth Syst. Sci., 15, 1147-1155.
    • (2011) Hydrol. Earth Syst. Sci. , vol.15 , pp. 1147-1155
    • Bitew, M.M.1    Gebremichael, M.2
  • 5
    • 84936916896 scopus 로고
    • Robust locally weighted regression and smoothing scatterplots
    • doi:102307/2286407
    • Cleveland, W. S., 1979: Robust locally weighted regression and smoothing scatterplots. J. Amer. Stat. Assoc., 74, 829-836, doi:10.2307/2286407.
    • (1979) J. Amer. Stat. Assoc. , vol.74 , pp. 829-836
    • Cleveland, W.S.1
  • 6
    • 0028552275 scopus 로고
    • A statistical-topographic model for mapping climatological precipitation over mountainous terrain
    • Daly, C., R. P. Neilson, and D. L. Phillips, 1994: A statistical-topographic model for mapping climatological precipitation over mountainous terrain. J. Appl. Meteor., 33, 140-158.
    • (1994) J. Appl. Meteor. , vol.33 , pp. 140-158
    • Daly, C.1    Neilson, R.P.2    Phillips, D.L.3
  • 9
    • 33644784175 scopus 로고    scopus 로고
    • Truncation errors in historical WSR-88D rainfall products
    • Seattle, WA, Amer. Meteor. Soc., P2B.7. ,Available online at
    • Fulton, R. A., F. Ding, and D. Miller, 2003: Truncation errors in historical WSR-88D rainfall products. Proc. 31th Int. Conf. on Radar Meteorology, Seattle, WA, Amer. Meteor. Soc., P2B.7. [Available online at https://ams.confex.com/ams/32BC31R5C/techprogram/paper_63261.htm.]
    • (2003) Proc. 31th Int. Conf. on Radar Meteorology
    • Fulton, R.A.1    Ding, F.2    Miller, D.3
  • 10
    • 1542631137 scopus 로고
    • Hydrometeorological grid mapping procedures
    • Denver. CO, AWRA
    • Greene, D., and M. Hudlow, 1982: Hydrometeorological grid mapping procedures. Proc. Int. Symp. on Hydrometeorology, Denver, CO, AWRA, 20 pp.
    • (1982) Proc. Int. Symp. on Hydrometeorology , pp. 20
    • Greene, D.1    Hudlow, M.2
  • 11
    • 33947356755 scopus 로고    scopus 로고
    • TheTRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales
    • Huffman, G. J., R. F. Adler, D. Bolvin, G. Gu, E. J. Nelkin, K. P. Bowman, E. F. S. Y. Hong, and D. B. Wolff, 2007: TheTRMM 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    Adler, R.F.2    Bolvin, D.3    Gu, G.4    Nelkin, E.J.5    Bowman, K.P.6    Hong, E.F.S.Y.7    Wolff, D.B.8
  • 12
    • 0031411435 scopus 로고    scopus 로고
    • Dependence of large-scale precipitation climatologies on temporal and spatial sampling
    • Hulme, M., and M. New, 1997: Dependence of large-scale precipitation climatologies on temporal and spatial sampling. J. Climate, 10, 1099-1113.
    • (1997) J. Climate , vol.10 , pp. 1099-1113
    • Hulme, M.1    New, M.2
  • 13
    • 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. 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.1    Janowiak, J.E.2    Arkin, P.A.3    Xie, P.4
  • 14
    • 74549143117 scopus 로고    scopus 로고
    • Characteristics of reprocessed Hydrometeorological Automated Data System (HADS) hourly precipitation data
    • Kim, D., B. Nelson, and D.-J. Seo, 2009: Characteristics of reprocessed Hydrometeorological Automated Data System (HADS) hourly precipitation data. Wea. Forecasting, 24, 1287-1296.
    • (2009) Wea. Forecasting , vol.24 , pp. 1287-1296
    • Kim, D.1    Nelson, B.2    Seo, D.-J.3
  • 15
    • 84863230678 scopus 로고    scopus 로고
    • Evolving multisensor precipitation estimation methods: Their impacts on flow prediction using a distributed hydrologic model
    • Kitzmiller, D., and Coauthors, 2011: Evolving multisensor precipitation estimation methods: Their impacts on flow prediction using a distributed hydrologic model. J. Hydrometeor., 12, 1414-1431.
    • (2011) J. Hydrometeor. , vol.12 , pp. 1414-1431
    • Kitzmiller, D.1
  • 16
    • 0027799557 scopus 로고
    • A description of the initial set of analysis products available from the NEXRAD WSR-88D system
    • Klazura, G. E., and D. A. Imy, 1993: A description of the initial set of analysis products available from the NEXRAD WSR-88D system. Bull. Amer. Meteor. Soc., 74, 1293-1311.
    • (1993) Bull. Amer. Meteor. Soc. , vol.74 , pp. 1293-1311
    • Klazura, G.E.1    Imy, D.A.2
  • 17
    • 38049093432 scopus 로고    scopus 로고
    • Automated real-time operational rain gauge quality-control tools in NWS hydrologic operations
    • Atlanta, GA, Amer Meteor. Soc.,Available online at
    • Kondragunta, C. R., and K. Shrestha, 2006: Automated real-time operational rain gauge quality-control tools in NWS hydrologic operations. Preprints, 20th Conf. on Hydrology, Atlanta, GA, Amer. Meteor. Soc., P2.4. [Available online at https://ams.confex.com/ams/Annual2006/techprogram/paper_102834. htm.]
    • (2006) Preprints, 20th Conf. on Hydrology , pp. 2-4
    • Kondragunta, C.R.1    Shrestha, K.2
  • 18
    • 30044439705 scopus 로고    scopus 로고
    • Objective integration of satellite, rain gauge, and radar precipitation estimates in the multisensor precipitation estimator algorithm
    • San Diego, CA, Amer Meteor. Soc., Available online at
    • Kondragunta, C. R.,, D. Kitzmiller, D. J. Seo, and K. Shrestha, 2005: Objective integration of satellite, rain gauge, and radar precipitation estimates in the multisensor precipitation estimator algorithm. Preprints, 19th Conf. on Hydrology, San Diego, CA, Amer. Meteor. Soc., P2.8. [Available online at https://ams.confex. com/ams/Annual2005/techprogram/paper_86219.htm.]
    • (2005) Preprints, 19th Conf. on Hydrology , pp. 2-8
    • Kondragunta, C.R.1    Kitzmiller, D.2    Seo, D.J.3    Shrestha, K.4
  • 19
    • 0036704699 scopus 로고    scopus 로고
    • Radar hydrology: Rainfall estimation
    • Krajewski, W., and J. Smith, 2002: Radar hydrology: Rainfall estimation. Adv. Water Resour., 25, 1387-1394.
    • (2002) Adv. Water Resour. , vol.25 , pp. 1387-1394
    • Krajewski, W.1    Smith, J.2
  • 20
    • 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
  • 22
    • 34547689858 scopus 로고    scopus 로고
    • The NCEP stage II/IV hourly precipitation analyses: Development and applications
    • San Diego, CA, Amer Meteor. Soc., 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 https://ams.confex.com/ams/Annual2005/techprogram/paper_83847.htm.]
    • (2005) Preprints, 19th Conf. on Hydrology , pp. 1-2
    • Lin, Y.1    Mitchell, K.E.2
  • 23
    • 77955169667 scopus 로고    scopus 로고
    • Assessing the skill of satellitebased precipitation estimates in hydrologic applications
    • doi:101029/2009WR008290
    • Pan, M., H. Li, and E. Wood, 2010: Assessing the skill of satellitebased precipitation estimates in hydrologic applications. Water Resour. Res., 46, W09535, doi:10.1029/2009WR008290.
    • (2010) Water Resour. Res. , vol.46
    • Pan, M.1    Li, H.2    Wood, E.3
  • 24
    • 0033117684 scopus 로고    scopus 로고
    • Coordinate transformations for using NEXRAD data in GIS-based hydrologic modeling
    • Reed, S. M., and D. R. Maidment, 1999: Coordinate transformations for using NEXRAD data in GIS-based hydrologic modeling. J. Hydrol. Eng., 4, 174-182.
    • (1999) J. Hydrol. Eng. , vol.4 , pp. 174-182
    • Reed, S.M.1    Maidment, D.R.2
  • 25
    • 65349150670 scopus 로고    scopus 로고
    • An intercomparison and validation of high-resolution satellite precipitation estimates with 3-hourly gauge data
    • Sapiano, M. R., 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.1    Arkin, P.A.2
  • 26
    • 1642480215 scopus 로고    scopus 로고
    • Status and outlook of operational satellite precipitation algorithms for extremeprecipitation events
    • Scofield, R. A., and R. J. Kuligowski, 2003: Status and outlook of operational satellite precipitation algorithms for extremeprecipitation events. Wea. Forecasting, 18, 1037-1051.
    • (2003) Wea. Forecasting , vol.18 , pp. 1037-1051
    • Scofield, R.A.1    Kuligowski, R.J.2
  • 27
    • 0032504125 scopus 로고    scopus 로고
    • Real-time estimation of rainfall fields using rain gage data under fractional coverage conditions
    • Seo, D.-J., 1998a: Real-time estimation of rainfall fields using rain gage data under fractional coverage conditions. J. Hydrol., 208, 25-36.
    • (1998) J. Hydrol. , vol.208 , pp. 25-36
    • Seo, D.-J.1
  • 28
    • 0032503984 scopus 로고    scopus 로고
    • Real-time estimation of rainfall fields using radar rainfall and rain gage data
    • Seo, D.-J., 1998b: Real-time estimation of rainfall fields using radar rainfall and rain gage data. J. Hydrol., 208, 37-52.
    • (1998) J. Hydrol. , vol.208 , pp. 37-52
    • Seo, D.-J.1
  • 29
    • 0036012198 scopus 로고    scopus 로고
    • Real-time correction of spatially nonuniform bias in radar rainfall data using rain gauge measurements
    • 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.
    • (2002) J. Hydrometeor. , vol.3 , pp. 93-111
    • Seo, D.-J.1    Breidenbach, J.P.2
  • 30
    • 0033215344 scopus 로고    scopus 로고
    • Real-time estimation of mean field bias in radar rainfall data
    • Seo, D.-J., and J. P. Breidenbach, and E. R. Johnson, 1999: Real-time estimation of mean field bias in radar rainfall data. J. Hydrol., 223, 131-147.
    • (1999) J. Hydrol. , vol.223 , pp. 131-147
    • Seo, D.-J.1    Breidenbach, J.P.2    Johnson, E.R.3
  • 31
    • 84883100031 scopus 로고    scopus 로고
    • Radar and multisensor rainfall estimation for hydrologic applications
    • Amer. Geophys. Union
    • Seo, D.-J., A. Seed, and G. Delrieu, 2011: Radar and multisensor rainfall estimation for hydrologic applications. Rainfall: State of the Science, Geophys. Monogr., Vol. 191, Amer. Geophys. Union, 79-104.
    • (2011) Rainfall: State of the Science, Geophys. Monogr. , vol.191 , pp. 79-104
    • Seo, D.-J.1    Seed, A.2    Delrieu, G.3
  • 33
    • 0026281454 scopus 로고
    • Estimation of the mean field bias of radar rainfall estimates
    • Smith, J. A., and W. F. Krajewski, 1991: Estimation of the mean field bias of radar rainfall estimates. J.Appl.Meteor., 30, 397-412.
    • (1991) J.Appl.Meteor. , vol.30 , pp. 397-412
    • Smith, J.A.1    Krajewski, W.F.2
  • 34
    • 77955573855 scopus 로고    scopus 로고
    • Validation of satellite-based high-resolution rainfall products over the Korean peninsula using data from a dense rain gauge network
    • Sohn, B., H. Han, and E. Seo, 2010: Validation of satellite-based high-resolution rainfall products over the Korean peninsula using data from a dense rain gauge network. J. Appl. Meteor. Climatol., 49, 701-714.
    • (2010) J. Appl. Meteor. Climatol. , vol.49 , pp. 701-714
    • Sohn, B.1    Han, H.2    Seo, E.3
  • 36
    • 34548596039 scopus 로고    scopus 로고
    • Multitemporal analysis of TRMM-based satellite precipitation products for land data assimilation
    • Tian, Y., C. Peters-Lidard, B. Choudhury, and M. Garcia, 2007: Multitemporal analysis of TRMM-based satellite precipitation products for land data assimilation. J. Hydrometeor., 8, 1165-1183.
    • (2007) J. Hydrometeor. , vol.8 , pp. 1165-1183
    • Tian, Y.1    Peters-Lidard, C.2    Choudhury, B.3    Garcia, M.4
  • 37
    • 77953337842 scopus 로고    scopus 로고
    • Component analysis of errors in satellitebased precipitation estimates
    • doi:101029/2009JD011949
    • Tian, Y., C. Peters-Lidard, B. Choudhury, and M. Garcia, and Coauthors, 2009: Component analysis of errors in satellitebased precipitation estimates. J. Geophys. Res., 114, D24101, doi:10.1029/2009JD011949.
    • (2009) J. Geophys. Res. , vol.114
    • Tian, Y.1    Peters-Lidard, C.2    Choudhury, B.3    Garcia, M.4
  • 38
    • 77953354246 scopus 로고    scopus 로고
    • Evaluation of GSMaP precipitation estimates over the contiguous United States
    • Tian, Y., C. C. D. Peters-Lidard, R. F. Adler, T. Kubota, and T. Ushio, 2010: Evaluation of GSMaP precipitation estimates over the contiguous United States. J. Hydrometeor., 11, 566-574.
    • (2010) J. Hydrometeor. , vol.11 , pp. 566-574
    • Tian, Y.1    Peters-Lidard, C.C.D.2    Adler, R.F.3    Kubota, T.4    Ushio, T.5
  • 39
    • 77958583350 scopus 로고    scopus 로고
    • Adjusting satellite precipitation data to facilitate hydrologic modeling
    • Tobin, K. J., and M. E. Bennett, 2010: Adjusting satellite precipitation data to facilitate hydrologic modeling. J. Hydrometeor., 11, 966-978.
    • (2010) J. Hydrometeor. , vol.11 , pp. 966-978
    • Tobin, K.J.1    Bennett, M.E.2
  • 40
    • 69949141977 scopus 로고    scopus 로고
    • Validating a rapid-update satellite precipitation analysis across telescoping space and time scales
    • Turk, F. J., B. Sohn, H. Oh, E. E. Ebert, V. Levizzani, and E. A. Smith, 2009: Validating a rapid-update satellite precipitation analysis across telescoping space and time scales. Meteor. Atmos. Phys., 105, 99-108.
    • (2009) Meteor. Atmos. Phys. , vol.105 , pp. 99-108
    • Turk, F.J.1    Sohn, B.2    Oh, H.3    Ebert, E.E.4    Levizzani, V.5    Smith, E.A.6
  • 41
    • 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
  • 42
    • 0028849580 scopus 로고
    • An intercomparison of gauge observations and satellite estimates of monthly precipitation
    • Xie, P., and P. Arkin, 1995: An intercomparison of gauge observations and satellite estimates of monthly precipitation. J. Appl. Meteor., 34, 1143-1160.
    • (1995) J. Appl. Meteor. , vol.34 , pp. 1143-1160
    • Xie, P.1    Arkin, P.2
  • 44
    • 26444540803 scopus 로고    scopus 로고
    • Intercomparison of rain gauge, radar, and satellite-based precipitation estimates with emphasis on hydrologic forecasting
    • Yilmaz, K. K., T. S. Hogue, K. Hsu, S. Sorooshian, H. V. Gupta, and T. Wagener, 2005: Intercomparison of rain gauge, radar, and satellite-based precipitation estimates with emphasis on hydrologic forecasting. J. Hydrometeor., 6, 497-517.
    • (2005) J. Hydrometeor. , vol.6 , pp. 497-517
    • Yilmaz, K.K.1    Hogue, T.S.2    Hsu, K.3    Sorooshian, S.4    Gupta, H.V.5    Wagener, T.6
  • 45
    • 38749139251 scopus 로고    scopus 로고
    • Subpixel-scale rainfall variability and the effects on separation of radar and gauge rainfall errors
    • Zhang, Y., T. Adams, and J. V. Bonta, 2007: Subpixel-scale rainfall variability and the effects on separation of radar and gauge rainfall errors. J. Hydrometeor., 8, 1348-1363.
    • (2007) J. Hydrometeor. , vol.8 , pp. 1348-1363
    • Zhang, Y.1    Adams, T.2    Bonta, J.V.3
  • 46
    • 84875028369 scopus 로고    scopus 로고
    • Evaluation of the impacts of ingesting TRMM data on the accuracy of quantitative precipitation estimates obtained via the SCaMPR framework
    • Atlanta, GA, Amer Meteor. Soc., Available online at
    • Zhang, Y., D. Kitzmiller, D. Seo, R. Kuligowski, and Y. Li, 2010: Evaluation of the impacts of ingesting TRMM data on the accuracy of quantitative precipitation estimates obtained via the SCaMPR framework. Preprints, 24th Conf. on Hydrology, Atlanta, GA, Amer. Meteor. Soc., 72-75. [Available online at https://ams.confex.com/ams/90annual/techprogram/paper_ 162693.htm.]
    • (2010) Preprints, 24th Conf. on Hydrology , pp. 72-75
    • Zhang, Y.1    Kitzmiller, D.2    Seo, D.3    Kuligowski, R.4    Li, Y.5
  • 47
    • 79959636743 scopus 로고    scopus 로고
    • Effects of retrospective gauge-based readjustment of multisensor precipitation estimates on hydrologic simulations
    • Zhang, Y., S. Reed, and D. Kitzmiller, 2011: Effects of retrospective gauge-based readjustment of multisensor precipitation estimates on hydrologic simulations. J. Hydrometeor., 12, 429-443.
    • (2011) J. Hydrometeor. , vol.12 , pp. 429-443
    • Zhang, Y.1    Reed, S.2    Kitzmiller, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.