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Volumn 14, Issue 11, 2017, Pages 1898-1902

A Nonparametric Statistical Technique for Modeling Overland TMI (2A12) Rainfall Retrieval Error

Author keywords

Error modeling; passive microwave (PMW) rainfall estimation; soil moisture

Indexed keywords

ERROR STATISTICS; ERRORS; MICROWAVES; MOISTURE; PRECIPITATION (METEOROLOGY); RADAR; RADAR MEASUREMENT; RAIN GAGES; SATELLITES; SOIL MOISTURE; SOIL SURVEYS; SOILS; SPACE APPLICATIONS; SPACE-BASED RADAR; STORMS; UNCERTAINTY ANALYSIS;

EID: 85036549471     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2017.2728658     Document Type: Article
Times cited : (20)

References (31)
  • 1
    • 0242370048 scopus 로고    scopus 로고
    • Water pressure
    • F. Montaigne, "Water pressure," Nat. Geograph., vol. 202, no. 3, pp. 2-33, 2002.
    • (2002) Nat. Geograph. , vol.202 , Issue.3 , pp. 2-33
    • Montaigne, F.1
  • 2
    • 84993008989 scopus 로고    scopus 로고
    • Washington, DC, USA. (Nov). Science and technology to support fresh water availability in the United States
    • National Science and Technology Council. Washington, DC, USA. (Nov. 2004). Science and technology to support fresh water availability in the United States. [Online]. Available: https://water.usgs.gov/owq/swaq.pdf
    • (2004) National Science and Technology Council
  • 3
    • 0035302468 scopus 로고    scopus 로고
    • The use of TRMM precipitation radar observations in determining ground radar calibration biases
    • Apr
    • E. N. Anagnostou, C. A. Morales, and T. Dinku, "The use of TRMM precipitation radar observations in determining ground radar calibration biases," J. Atmos. Ocean. Technol., vol. 18, no. 4, pp. 618-628, Apr. 2001.
    • (2001) J. Atmos. Ocean. Technol. , vol.18 , Issue.4 , pp. 618-628
    • Anagnostou, E.N.1    Morales, C.A.2    Dinku, T.3
  • 4
    • 0036704699 scopus 로고    scopus 로고
    • Radar hydrology: Rainfall estimation
    • Aug./Dec
    • W. F. Krajewski and J. A. Smith, "Radar hydrology: Rainfall estimation," Adv. Water Resour., vol. 25, nos. 8-12, pp. 1387-1394, Aug./Dec. 2002.
    • (2002) Adv. Water Resour. , vol.25 , Issue.8-12 , pp. 1387-1394
    • Krajewski, W.F.1    Smith, J.A.2
  • 5
  • 6
    • 84897665733 scopus 로고    scopus 로고
    • The global precipitation measurement mission
    • May
    • A. Y. Hou et al., "The global precipitation measurement mission," Bull. Amer. Meteorol. Soc., vol. 95, no. 5, pp. 701-722, May 2014.
    • (2014) Bull. Amer. Meteorol. Soc. , vol.95 , Issue.5 , pp. 701-722
    • Hou, A.Y.1
  • 7
    • 77956631856 scopus 로고    scopus 로고
    • Estimation of precipitation from space-based platforms
    • S. Michaelides, Ed. Berlin, Germany: Springer-Verlag
    • I. M. Lensky and V. Levizzani, "Estimation of precipitation from space-based platforms," in Precipitation: Advances in Measurement, Estimation and Prediction, S. Michaelides, Ed. Berlin, Germany: Springer-Verlag, 2008, pp. 195-217.
    • (2008) Precipitation: Advances in Measurement, Estimation and Prediction , pp. 195-217
    • Lensky, I.M.1    Levizzani, V.2
  • 8
    • 16444382008 scopus 로고    scopus 로고
    • Regional differences in overland rainfall estimation from PR-calibrated TMI algorithm
    • Feb
    • T. Dinku and E. N. Anagnostou, "Regional differences in overland rainfall estimation from PR-calibrated TMI algorithm," J. Appl. Meteorol., vol. 44, no. 2, pp. 189-205, Feb. 2005.
    • (2005) J. Appl. Meteorol. , vol.44 , Issue.2 , pp. 189-205
    • Dinku, T.1    Anagnostou, E.N.2
  • 10
    • 64249103039 scopus 로고    scopus 로고
    • Warm Rain in the tropics: Seasonal and regional distributions based on 9 yr of TRMM data
    • Feb
    • C. Liu and E. J. Zipser, "'Warm Rain' in the tropics: Seasonal and regional distributions based on 9 yr of TRMM data," J. Climate, vol. 22, no. 3, pp. 767-779, Feb. 2009.
    • (2009) J. Climate , vol.22 , Issue.3 , pp. 767-779
    • Liu, C.1    Zipser, E.J.2
  • 11
    • 78649769396 scopus 로고    scopus 로고
    • Prestorm estimation of hurricane damage to electric power distribution systems
    • Dec
    • S. D. Guikema, S. M. Quiring, and S.-R. Han, "Prestorm estimation of hurricane damage to electric power distribution systems," Risk Anal., vol. 30, no. 12, pp. 1744-1752, Dec. 2010.
    • (2010) Risk Anal. , vol.30 , Issue.12 , pp. 1744-1752
    • Guikema, S.D.1    Quiring, S.M.2    Han, S.-R.3
  • 12
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Oct
    • L. Breiman, "Random forests," Mach. Learn., vol. 45, no. 1, pp. 5-32, Oct. 2001.
    • (2001) Mach. Learn. , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 13
    • 84918523543 scopus 로고    scopus 로고
    • Forecasting hurricaneinduced power outage durations
    • Dec
    • R. Nateghi, S. D. Guikema, and S. M. Quiring, "Forecasting hurricaneinduced power outage durations," Natural Hazards, vol. 74, no. 3, pp. 1795-1811, Dec. 2014.
    • (2014) Natural Hazards , vol.74 , Issue.3 , pp. 1795-1811
    • Nateghi, R.1    Guikema, S.D.2    Quiring, S.M.3
  • 14
    • 84941312540 scopus 로고    scopus 로고
    • The influence of surface and precipitation characteristics on TRMM Microwave Imager rainfall retrieval uncertainty
    • Aug
    • N. Carr et al., "The influence of surface and precipitation characteristics on TRMM Microwave Imager rainfall retrieval uncertainty," J. Hydrometeorol., vol. 16, no. 4, pp. 1596-1614, Aug. 2015.
    • (2015) J. Hydrometeorol. , vol.16 , Issue.4 , pp. 1596-1614
    • Carr, N.1
  • 15
    • 80555136732 scopus 로고    scopus 로고
    • National mosaic and multi-sensor QPE (NMQ) system: Description, results, and future plans
    • Oct
    • J. Zhang et al., "National mosaic and multi-sensor QPE (NMQ) system: Description, results, and future plans," Bull. Amer. Meteorol. Soc., vol. 92, no. 10, pp. 1321-1338, Oct. 2011.
    • (2011) Bull. Amer. Meteorol. Soc. , vol.92 , Issue.10 , pp. 1321-1338
    • Zhang, J.1
  • 16
    • 84868328871 scopus 로고    scopus 로고
    • Toward a framework for systematic error modeling of spaceborne precipitation radar with NOAA/NSSL ground radar-based national mosaic QPE
    • Aug
    • P.-E. Kirstetter et al., "Toward a framework for systematic error modeling of spaceborne precipitation radar with NOAA/NSSL ground radar-based national mosaic QPE," J. Hydrometeorol., vol. 13, no. 4, pp. 1285-1300, Aug. 2012.
    • (2012) J. Hydrometeorol. , vol.13 , Issue.4 , pp. 1285-1300
    • Kirstetter, P.-E.1
  • 17
    • 0035509041 scopus 로고    scopus 로고
    • The evolution of the Goddard Profiling Algorithm (GPROF) for rainfall estimation from passive microwave sensors
    • Nov
    • C. Kummerow et al., "The evolution of the Goddard Profiling Algorithm (GPROF) for rainfall estimation from passive microwave sensors," J. Appl. Meteorol., vol. 40, no. 11, pp. 1801-1820, Nov. 2001.
    • (2001) J. Appl. Meteorol. , vol.40 , Issue.11 , pp. 1801-1820
    • Kummerow, C.1
  • 18
    • 79551643740 scopus 로고    scopus 로고
    • Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
    • Feb
    • Y. Y. Liu et al., "Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals," Hydrol. Earth Syst. Sci., vol. 15, no. 2, pp. 425-436, Feb. 2011.
    • (2011) Hydrol. Earth Syst. Sci. , vol.15 , Issue.2 , pp. 425-436
    • Liu, Y.Y.1
  • 19
    • 44449150244 scopus 로고    scopus 로고
    • Multisensor historical climatology of satellite-derived global land surface moisture
    • Jan
    • M. Owe, R. de Jeu, and T. Holmes, "Multisensor historical climatology of satellite-derived global land surface moisture," J. Geophys. Res., vol. 113, no. F1, Jan. 2008, doi: 10.1029/2007JF000769.
    • (2008) J. Geophys. Res. , vol.113 , Issue.F1
    • Owe, M.1    De Jeu, R.2    Holmes, T.3
  • 20
    • 84971394485 scopus 로고    scopus 로고
    • Multi-radar multi-sensor (mrms) quantitative precipitation estimation: Initial operating capabilities
    • May
    • J. Zhang et al., "Multi-Radar Multi-Sensor (MRMS) quantitative precipitation estimation: Initial operating capabilities," Bull. Amer. Meteorol. Soc., vol. 97, no. 4, pp. 621-638, May 2016.
    • (2016) Bull. Amer. Meteorol. Soc. , vol.97 , Issue.4 , pp. 621-638
    • Zhang, J.1
  • 21
    • 14344266391 scopus 로고    scopus 로고
    • Constructing threedimensional multiple-radar reflectivity mosaics: Examples of convective storms and stratiform rain echoes
    • Jan
    • J. Zhang, K. H. Howard, and J. J. Gourley, "Constructing threedimensional multiple-radar reflectivity mosaics: Examples of convective storms and stratiform rain echoes," J. Atmos. Ocean. Technol., vol. 22, no. 1, pp. 30-42, Jan. 2005.
    • (2005) J. Atmos. Ocean. Technol. , vol.22 , Issue.1 , pp. 30-42
    • Zhang, J.1    Howard, K.H.2    Gourley, J.J.3
  • 22
    • 34247574727 scopus 로고    scopus 로고
    • An automated technique to quality control radar reflectivity data
    • Mar
    • V. Lakshmanan, A. Fritz, T. Smith, K. Hondl, and G. Stumpf, "An automated technique to quality control radar reflectivity data," J. Appl. Meteorol. Climatol., vol. 46, no. 3, pp. 288-305, Mar. 2007.
    • (2007) J. Appl. Meteorol. Climatol. , vol.46 , Issue.3 , pp. 288-305
    • Lakshmanan, V.1    Fritz, A.2    Smith, T.3    Hondl, K.4    Stumpf, G.5
  • 23
    • 84863230678 scopus 로고    scopus 로고
    • Evolving multisensor precipitation estimation methods: Their impacts on flow prediction using a distributed hydrologic model
    • Nov
    • D. Kitzmiller et al., "Evolving multisensor precipitation estimation methods: Their impacts on flow prediction using a distributed hydrologic model," J. Hydrometeorol., vol. 12, no. 6, pp. 1414-1431, Nov. 2011.
    • (2011) J. Hydrometeorol. , vol.12 , Issue.6 , pp. 1414-1431
    • Kitzmiller, D.1
  • 24
    • 12144288506 scopus 로고    scopus 로고
    • An hourly assimilation-forecast cycle: The RUC
    • Feb
    • S. G. Benjamin et al., "An hourly assimilation-forecast cycle: The RUC," Mon. Weather Rev., vol. 132, no. 2, pp. 495-518, Feb. 2004.
    • (2004) Mon. Weather Rev. , vol.132 , Issue.2 , pp. 495-518
    • Benjamin, S.G.1
  • 25
    • 33745174860 scopus 로고    scopus 로고
    • Quantile regression forests
    • Jun
    • N. Meinshausen, "Quantile regression forests," J. Mach. Learn. Res., vol. 7, pp. 983-999, Jun. 2006.
    • (2006) J. Mach. Learn. Res. , vol.7 , pp. 983-999
    • Meinshausen, N.1
  • 26
    • 0345040873 scopus 로고    scopus 로고
    • Classification and regression by randomForest
    • A. Liaw and M. Wiener, "Classification and regression by randomForest," R News, vol. 2, no. 3, pp. 18-22, 2002.
    • (2002) R News , vol.2 , Issue.3 , pp. 18-22
    • Liaw, A.1    Wiener, M.2
  • 28
    • 59649124689 scopus 로고    scopus 로고
    • Analysis of coupled model uncertainties in source-to-dose modeling of human exposures to ambient air pollution: A PM2.5 case study
    • Mar
    • H. Özkaynak, H. C. Frey, J. Burke, and R. W. Pinder, "Analysis of coupled model uncertainties in source-to-dose modeling of human exposures to ambient air pollution: A PM2.5 case study," Atmos. Environ., vol. 43, no. 9, pp. 1641-1649, Mar. 2009.
    • (2009) Atmos. Environ. , vol.43 , Issue.9 , pp. 1641-1649
    • Özkaynak, H.1    Frey, H.C.2    Burke, J.3    Pinder, R.W.4
  • 29
    • 0035270069 scopus 로고    scopus 로고
    • Interpretation of rank histograms for verifying ensemble forecasts
    • Mar
    • T. M. Hamill, "Interpretation of rank histograms for verifying ensemble forecasts," Mon. Weather Rev., vol. 129, no. 3, pp. 550-560, Mar. 2001.
    • (2001) Mon. Weather Rev. , vol.129 , Issue.3 , pp. 550-560
    • Hamill, T.M.1
  • 30
    • 0002897679 scopus 로고    scopus 로고
    • Verification of Eta-RSM shortrange ensemble forecasts
    • Jun
    • T. M. Hamill and S. J. Colucci, "Verification of Eta-RSM shortrange ensemble forecasts," Mon. Weather Rev., vol. 125, no. 6, pp. 1312-1327, Jun. 1997.
    • (1997) Mon. Weather Rev. , vol.125 , Issue.6 , pp. 1312-1327
    • Hamill, T.M.1    Colucci, S.J.2
  • 31
    • 84924666332 scopus 로고    scopus 로고
    • A physically based soil moisture and microwave emissivity data set for Global Precipitation Measurement (GPM) applications
    • Dec
    • F. J. Turk, L. Li, and Z. S. Haddad, "A physically based soil moisture and microwave emissivity data set for Global Precipitation Measurement (GPM) applications," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 12, pp. 7637-7650, Dec. 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.12 , pp. 7637-7650
    • Turk, F.J.1    Li, L.2    Haddad, Z.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.