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Volumn 27, Issue 15, 2014, Pages 5891-5906

Predictability and forecast skill in NMME

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC TEMPERATURE; MEAN SQUARE ERROR; OCEANOGRAPHY; SUBMARINE GEOPHYSICS; SURFACE PROPERTIES; SURFACE WATERS;

EID: 84925991639     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-13-00597.1     Document Type: Article
Times cited : (172)

References (34)
  • 1
    • 79959608994 scopus 로고    scopus 로고
    • The GloSea4 ensemble prediction system for seasonal forecasting
    • Arribas, A., and Coauthors, 2011: The GloSea4 ensemble prediction system for seasonal forecasting. Mon. Wea. Rev., 139, 1891-1910, doi:10.1175/2010MWR3615.1.
    • (2011) Mon. Wea. Rev. , vol.139 , pp. 1891-1910
    • Arribas, A.1
  • 2
    • 0027525728 scopus 로고
    • Adegeneracy in cross-validated skill in regression-based forecasts
    • Barnston, A.G., and H.M. Van denDool, 1993:Adegeneracy in cross-validated skill in regression-based forecasts. J. Climate, 6, 963-977, doi:10.1175/1520-0442(1993)006,0963: ADICVS.2.0.CO;2.
    • (1993) J. Climate , vol.6 , pp. 963-977
    • Barnston, A.G.1    Van den Dool, H.M.2
  • 3
    • 0031536347 scopus 로고    scopus 로고
    • Documentation of a highly ENSO-related SST region in the equatorial Pacific
    • Barnston, A.G., M. Chelliah, and S. B. Goldenberg, 1997: Documentation of a highly ENSO-related SST region in the equatorial Pacific. Atmos.-Ocean, 35, 367-383, doi:10.1080/07055900.1997.9649597.
    • (1997) Atmos.-Ocean , vol.35 , pp. 367-383
    • Barnston, A.G.1    Chelliah, M.2    Goldenberg, S.B.3
  • 4
    • 84872956299 scopus 로고    scopus 로고
    • Short-term climate extremes: Prediction skill and predictability
    • Becker, E. J., H. M. Van den Dool, and M. Peña, 2013: Short-term climate extremes: Prediction skill and predictability. J. Climate, 26, 512-531, doi:10.1175/JCLI-D-12-00177.1.
    • (2013) J. Climate , vol.26 , pp. 512-531
    • Becker, E.J.1    Van den Dool, H.M.2    Peña, M.3
  • 5
    • 27744475624 scopus 로고    scopus 로고
    • Retrospective forecasts of interannual sea surface temperature anomalies from 1982 to present using a directly coupled atmosphere-ocean general circulation model
    • DeWitt, D. G., 2005: Retrospective forecasts of interannual sea surface temperature anomalies from 1982 to present using a directly coupled atmosphere-ocean general circulation model. Mon. Wea. Rev., 133, 2972-2995, doi:10.1175/MWR3016.1.
    • (2005) Mon. Wea. Rev. , vol.133 , pp. 2972-2995
    • DeWitt, D.G.1
  • 6
    • 18544362809 scopus 로고    scopus 로고
    • The rationale behind the success of multi-model ensembles in seasonal forecasting-II
    • Doblas-Reyes, F. J., R. Hagedorn, and T. N. Palmer, 2005: The rationale behind the success of multi-model ensembles in seasonal forecasting-II. Calibration and combination. Tellus, 57A, 234-252, doi:10.1111/j.1600-0870.2005.00104.x.
    • (2005) Calibration and combination. Tellus , vol.57A , pp. 234-252
    • Doblas-Reyes, F.J.1    Hagedorn, R.2    Palmer, T.N.3
  • 7
    • 40949106039 scopus 로고    scopus 로고
    • Aglobal monthly land surface air temperature analysis for 1948-present
    • Fan, Y., and H. Van den Dool, 2008:Aglobal monthly land surface air temperature analysis for 1948-present. J. Geophys. Res., 113, D01103, doi:10.1029/2007JD008470.
    • (2008) J. Geophys. Res. , vol.113
    • Fan, Y.1    Van den Dool, H.2
  • 8
    • 84880858974 scopus 로고    scopus 로고
    • Comparison of statistical estimates of potential seasonal predictability
    • Feng, X., T. DelSole, and P. Houser, 2013: Comparison of statistical estimates of potential seasonal predictability. J. Geophys. Res. Atmos., 118, 6002-6016, doi:10.1002/jgrd.50498.
    • (2013) J. Geophys. Res. Atmos. , vol.118 , pp. 6002-6016
    • Feng, X.1    DelSole, T.2    Houser, P.3
  • 9
    • 0027085408 scopus 로고
    • AMIP: The Atmospheric Model Intercomparison Project
    • Gates, W. L., 1992: AMIP: The Atmospheric Model Intercomparison Project. Bull. Amer. Meteor. Soc., 73, 1962-1970. doi:10.1175/1520-0477(1992)073,1962:ATAMIP.2.0.CO;2.
    • (1992) Bull. Amer. Meteor. Soc. , vol.73 , pp. 1962-1970
    • Gates, W.L.1
  • 10
    • 18544371178 scopus 로고    scopus 로고
    • The rationale behind the success of multi-model ensembles in seasonal forecasting-I
    • Hagedorn, R., F. J. Doblas-Reyes, and T. N. Palmer, 2005: The rationale behind the success of multi-model ensembles in seasonal forecasting-I. Basic concept. Tellus, 57A, 219-233, doi:10.1111/j.1600-0870.2005.00103.x.
    • (2005) Basic concept. Tellus , vol.57A , pp. 219-233
    • Hagedorn, R.1    Doblas-Reyes, F.J.2    Palmer, T.N.3
  • 11
    • 0027830054 scopus 로고
    • Monthly precipitation- temperature relations and temperature prediction over the United States
    • Huang, J., and H. M. Van den Dool, 1993: Monthly precipitation- temperature relations and temperature prediction over the United States. J. Climate, 6, 1111-1132, doi:10.1175/ 1520-0442(1993)006,1111:MPTRAT.2.0.CO;2.
    • (1993) J. Climate , vol.6 , pp. 1111-1132
    • Huang, J.1    Van den Dool, H.M.2
  • 12
    • 68249149282 scopus 로고    scopus 로고
    • On the reliability and calibration of ensemble forecasts
    • Johnson, C., and N. Bowler, 2009: On the reliability and calibration of ensemble forecasts. Mon. Wea. Rev., 137, 1717-1720, doi:10.1175/2009MWR2715.1.
    • (2009) Mon. Wea. Rev. , vol.137 , pp. 1717-1720
    • Johnson, C.1    Bowler, N.2
  • 13
    • 70350780686 scopus 로고    scopus 로고
    • Multimodel ensemble ENSO prediction with CCSM and CFS
    • Kirtman, B. P., and D. Min, 2009: Multimodel ensemble ENSO prediction with CCSM and CFS. Mon. Wea. Rev., 137, 2908- 2930, doi:10.1175/2009MWR2672.1.
    • (2009) Mon. Wea. Rev. , vol.137 , pp. 2908- 2930
    • Kirtman, B.P.1    Min, D.2
  • 14
    • 84885653293 scopus 로고    scopus 로고
    • The North American Multi-Model Ensemble (NMME): Phase-1 seasonal to interannual prediction, phase-2 toward developing intra-seasonal prediction
    • Kirtman, B. P., and Coauthors, 2014: The North American Multi-Model Ensemble (NMME): Phase-1 seasonal to interannual prediction, phase-2 toward developing intra-seasonal prediction. Bull. Amer. Meteor. Soc., 95, 585-601, doi:10.1175/BAMS-D-12-00050.1.
    • (2014) Bull. Amer. Meteor. Soc. , vol.95 , pp. 585-601
    • Kirtman, B.P.1
  • 15
    • 70350337843 scopus 로고    scopus 로고
    • Finite samples and uncertainty estimates for skill measures for seasonal prediction
    • Kumar, A., 2009: Finite samples and uncertainty estimates for skill measures for seasonal prediction. Mon. Wea. Rev., 137, 2622- 2631, doi:10.1175/2009MWR2814.1.
    • (2009) Mon. Wea. Rev. , vol.137 , pp. 2622- 2631
    • Kumar, A.1
  • 16
    • 0000982627 scopus 로고
    • Three approaches to atmospheric predictability
    • Lorenz, E. N., 1969: Three approaches to atmospheric predictability. Bull. Amer. Meteor. Soc., 50, 345-349.
    • (1969) Bull. Amer. Meteor. Soc. , vol.50 , pp. 345-349
    • Lorenz, E.N.1
  • 17
    • 0020347854 scopus 로고
    • Atmospheric predictability experiments with a large numerical model
    • Lorenz, E. N., 1982: Atmospheric predictability experiments with a large numerical model. Tellus, 34A, 505-513, doi:10.1111/ j.2153-3490.1982.tb01839.x.
    • (1982) Tellus , vol.34A , pp. 505-513
    • Lorenz, E.N.1
  • 18
    • 0000192909 scopus 로고
    • Estimates of the natural variability of time-averaged temperatures over the United States
    • Madden, R. A., and D. J. Shea, 1978: Estimates of the natural variability of time-averaged temperatures over the United States. Mon. Wea. Rev., 106, 1695-1703, doi:10.1175/ 1520-0493(1978)106,1695:EOTNVO.2.0.CO;2.
    • (1978) Mon. Wea. Rev. , vol.106 , pp. 1695-1703
    • Madden, R.A.1    Shea, D.J.2
  • 19
    • 84877985960 scopus 로고    scopus 로고
    • The Canadian Seasonal to Interannual Prediction System
    • Merryfield, W. J., and Coauthors, 2013: The Canadian Seasonal to Interannual Prediction System. Part I: Models and initialization. Mon. Wea. Rev., 141, 2910-2945, doi:10.1175/ MWR-D-12-00216.1.
    • (2013) Part I: Models and initialization. Mon. Wea. Rev. , vol.141 , pp. 2910-2945
    • Merryfield, W.J.1
  • 20
    • 3543083343 scopus 로고    scopus 로고
    • Development of a European Multimodel Ensemble System for Seasonal-to-Interannual Prediction (DEMETER)
    • Palmer, T. N., and Coauthors, 2004: Development of a European Multimodel Ensemble System for Seasonal-to-Interannual Prediction (DEMETER). Bull. Amer. Meteor. Soc., 85, 853- 872, doi:10.1175/BAMS-85-6-853.
    • (2004) Bull. Amer. Meteor. Soc. , vol.85 , pp. 853- 872
    • Palmer, T.N.1
  • 21
    • 0036648346 scopus 로고    scopus 로고
    • An improved in situ and satellite SST analysis for climate
    • Reynolds, R.W., N. A. Rayner, T. M. Smith, D. C. Stokes, and W. Wang, 2002: An improved in situ and satellite SST analysis for climate. J. Climate, 15, 1609-1625, doi:10.1175/ 1520-0442(2002)015,1609:AIISAS.2.0.CO;2.
    • (2002) J. Climate , vol.15 , pp. 1609-1625
    • Reynolds, R.W.1    Rayner, N.A.2    Smith, T.M.3    Stokes, D.C.4    Wang, W.5
  • 22
    • 33846167723 scopus 로고    scopus 로고
    • Medium-range, monthly, and seasonal prediction for Europe and the use of forecast information
    • Rodwell, M. J., and F. J. Doblas-Reyes, 2006: Medium-range, monthly, and seasonal prediction for Europe and the use of forecast information. J. Climate, 19, 6025-6046, doi:10.1175/ JCLI3944.1.
    • (2006) J. Climate , vol.19 , pp. 6025-6046
    • Rodwell, M.J.1    Doblas-Reyes, F.J.2
  • 23
    • 33645633207 scopus 로고    scopus 로고
    • The NCEP Climate Forecast System
    • Saha, S., and Coauthors, 2006: The NCEP Climate Forecast System. J. Climate, 19, 3483-3517, doi:10.1175/JCLI3812.1.
    • (2006) J. Climate , vol.19 , pp. 3483-3517
    • Saha, S.1
  • 24
    • 84896093136 scopus 로고    scopus 로고
    • The NCEP Climate Forecast System version 2
    • Saha, S., and Coauthors, 2014: The NCEP Climate Forecast System version 2. J. Climate, 27, 2185-2208, doi:10.1175/ JCLI-D-12-00823.1.
    • (2014) J. Climate , vol.27 , pp. 2185-2208
    • Saha, S.1
  • 25
    • 78649899014 scopus 로고    scopus 로고
    • Atmospheric blocking andmean biases in climate models
    • Scaife, A. A., T. Woollings, J. R. Knight, G. Martin, and T. Hinton, 2010:Atmospheric blocking andmean biases in climate models. J. Climate, 23, 6143-6152, doi:10.1175/2010JCLI3728.1.
    • (2010) J. Climate , vol.23 , pp. 6143-6152
    • Scaife, A.A.1    Woollings, T.2    Knight, J.R.3    Martin, G.4    Hinton, T.5
  • 26
    • 84888065733 scopus 로고    scopus 로고
    • Real-time multi-model decadal climate predictions
    • Smith, D. M., and Coauthors, 2013: Real-time multi-model decadal climate predictions. Climate Dyn., 41, 2875-2888, doi:10.1007/ s00382-012-1600-0.
    • (2013) Climate Dyn. , vol.41 , pp. 2875-2888
    • Smith, D.M.1
  • 27
    • 0033017832 scopus 로고    scopus 로고
    • GCM systematic error correction and specification of the seasonal mean Pacific- North America region atmosphere from global SSTs
    • Smith, T. M., and R. E. Livezey, 1999: GCM systematic error correction and specification of the seasonal mean Pacific- North America region atmosphere from global SSTs. J. Climate, 12, 273-288, doi:10.1175/1520-0442-12.1.273.
    • (1999) J. Climate , vol.12 , pp. 273-288
    • Smith, T.M.1    Livezey, R.E.2
  • 29
    • 84987626211 scopus 로고    scopus 로고
    • Methods of multi-model consolidation, with emphasis on the recommended three-year-out cross validation approach
    • Extended Abstracts,NOAACTB Joint Seminar Series, Camp Springs, MD, NOAA.
    • Van den Dool, 2009: Methods of multi-model consolidation, with emphasis on the recommended three-year-out cross validation approach. Extended Abstracts,NOAACTB Joint Seminar Series, Camp Springs, MD, NOAA, 75-77. [Available online at http:// www.nws.noaa.gov/ost/climate/STIP/fy09jsctb.htm.]
    • (2009) , pp. 75-77
    • Van den, Dool1
  • 30
    • 0022831528 scopus 로고
    • A comparison of month-to-month persistence of anomalies in a general circulation model and in the earth's atmosphere
    • Van den Dool, and R. M. Chervin, 1986: A comparison of month-to-month persistence of anomalies in a general circulation model and in the earth's atmosphere. J. Atmos. Sci., 43, 1454-1466, doi:10.1175/1520-0469(1986)043,1454:ACOMTM.2.0.CO;2.
    • (1986) J. Atmos. Sci. , vol.43 , pp. 1454-1466
    • Van den, Dool1    Chervin, R.M.2
  • 31
    • 84898012966 scopus 로고    scopus 로고
    • The GEOS-iODAS: Description and evaluation
    • NASA Tech. Rep. NASA/TM-2012-104606.
    • Vernieres, G., M. M. Rienecker, R. Kovach, and C. L. Keppenne, 2012: The GEOS-iODAS: Description and evaluation. NASA Tech. Rep. NASA/TM-2012-104606, Vol 30, 61 pp. [Available online at http://gmao.gsfc.nasa.gov/pubs/docs/ Vernieres589.pdf.]
    • (2012) , vol.30 , pp. 61
    • Vernieres, G.1    Rienecker, M.M.2    Kovach, R.3    Keppenne, C.L.4
  • 33
    • 65449152546 scopus 로고    scopus 로고
    • An analysis of ENSO prediction skill in the CFS retrospective forecasts
    • Wu, R., B. P. Kirtman, and H. M. Van den Dool, 2009: An analysis of ENSO prediction skill in the CFS retrospective forecasts. J. Climate, 22, 1801-1818, doi:10.1175/ 2008JCLI2565.1.
    • (2009) J. Climate , vol.22 , pp. 1801-1818
    • Wu, R.1    Kirtman, B.P.2    Van den Dool, H.M.3
  • 34
    • 35748930572 scopus 로고    scopus 로고
    • System design and evaluation of coupled ensemble data assimilation for global oceanic climate studies
    • Zhang, S., M. J. Harrison, A. Rosati, and A. Wittenberg, 2007: System design and evaluation of coupled ensemble data assimilation for global oceanic climate studies. Mon. Wea. Rev., 135, 3541-3564, doi:10.1175/MWR3466.1.
    • (2007) Mon. Wea. Rev. , vol.135 , pp. 3541-3564
    • Zhang, S.1    Harrison, M.J.2    Rosati, A.3    Wittenberg, A.4


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