Application of the nmme in the development of a new regional seasonal climate forecast tool

Bulletin of the American Meteorological Society

Volumn 98, Issue 3, 2017, Pages 555-564

  Bolinger, Rebecca A ^a,b   Gronewold, Andrew D ^c   Kompoltowicz, Keith ^d   Fry, Lauren M ^d  

^a Department of Mechanical Engineering   (United States)

^b NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^c ALTARUM INSTITUTE   (United States)

^d US Army Corps of Engineers Detroit District   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING;

MULTI-MODEL ENSEMBLE; NORTH AMERICAN; SEASONAL CLIMATE FORECAST; WEB-BASED TOOLS;

CLIMATE MODELS;

EID: 85017010099     PISSN: 00030007     EISSN: None     Source Type: Journal    
DOI: 10.1175/BAMS-D-15-00107.1     Document Type: Article

References (33)

1. Assel, R. A., 1998: The 1997 ENSO event and implication for North American Laurentian Great Lakes winter severity and ice cover. Geophys. Res. Lett., 25, 1031-1033, doi:10.1029/98GL00720.
2. Barnston, A. G., M. K. Tippett, H. M. van den Dool, and D. A. Unger, 2015: Toward an improved multimodel ENSO prediction. J. Appl. Meteor. Climatol., 54, 1579-1595, doi:10.1175/JAMC-D-14-0188.1.
3. Becker, E. J., H. 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.
4. -,-, and Q. Zhang, 2014: Predictability and forecast skill in NMME. J. Climate, 27, 5891-5906, doi:10.1175/JCLI-D-13-00597.1.
5. Clites, A. H., J. Wang, K. B. Campbell, A. D. Gronewold, R. Assel, X. Bai, and G. A. Leshkevich, 2014: Cold water and high ice cover on Great Lakes in spring 2014. Eos, Trans. Amer. Geophys. Union, 95, 305-312, doi:10.1002/2014EO340001.
6. Croley, T. E., II, 2000: Using Meteorology Probability Forecasts in Operational Hydrology. American Society of Civil Engineers, 206 pp.
7. Gent, P. R., and Coauthors, 2011: The Community Climate System Model version 4. J. Climate, 24, 4973-4991, doi:10.1175/2011JCLI4083.1.
8. Gronewold, A. D., and V. Fortin, 2012: Advancing Great Lakes hydrological science through targeted binational collaborative research. Bull. Amer. Meteor. Soc., 93, 1921-1925, doi:10.1175/BAMS-D-12-00006.1.
9. -, A. H. Clites, T. S. Hunter, and C. A. Stow, 2011: An appraisal of the Great Lakes advanced hydrologic prediction system. J. Great Lakes Res., 37, 577-583, doi:10.1016/j.jglr.2011.06.010.
10. Herring, S. C., M. P. Hoerling, T. C. Peterson, and P. A. Stott, 2014: Explaining extreme events of 2013 from a climate perspective. Bull. Amer. Meteor. Soc., 95, S1-S96, doi:10.1175/1520-0477-95.9.S1.1.
11. Hunter, T. S., A. H. Clites, K. B. Campbell, and A. D. Gronewold, 2015: Development and application of a monthly hydrometeorological database for the North American Great Lakes-Part I: Precipitation, evaporation, runoff, and air temperature. J. Great Lakes Res., 41, 65-77, doi:10.1016/j.jglr.2014.12.006.
12. Jia, L., and Coauthors, 2015: Improved seasonal prediction of temperature and precipitation over land in a high-resolution GFDL climate model. J. Climate, 28, 2044-2062, doi:10.1175/JCLI-D-14-00112.1.
13. Kerr, R. A., 2011: Vital details of global warming are eluding forecasters. Science, 334, 173-174, doi:10.1126/science.334.6053.173.
14. Kirtman, B. P., and Coauthors, 2014: The North American Multimodel Ensemble: Phase-1 seasonal-to-interannual prediction; phase-2 toward developing intraseasonal prediction. Bull. Amer. Meteor. Soc., 95, 585-601, doi:10.1175/BAMS-D-12-00050.1.
15. Lee, D. H., A. H. Clites, and J. P. Keillor, 1997: Assessing risk in operational decisions using Great Lakes probabilistic water level forecasts. Environ. Manage., 21, 43-58, doi:10.1007/s002679900004.
16. Lofgren, B. M., A. D. Gronewold, A. Acciaioli, J. Cherry, A. Steiner, and D. Watkins, 2013: Methodological approaches to projecting the hydrologic impacts of climate change. Earth Interact., 17, doi:10.1175/2013EI000532.1.
17. Ma, F., X. Yuan, and A. Ye, 2015: Seasonal drought predictability and forecast skill over China. J. Geophys. Res. Atmos., 120, 8264-8275, doi:10.1002/2015JD023185.
18. 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.
19. Millerd, F., 2011: The potential impact of climate change on Great Lakes international shipping. Climatic Change, 104, 629-652, doi:10.1007/s10584-010-9872-z.
20. Mo, K. C., and D. P. Lettenmaier, 2014: Hydrologic prediction over the conterminous United States using the National Multi-Model Ensemble. J. Hydrometeor., 15, 1457-1472, doi:10.1175/JHM-D-13-0197.1.
21. Mortsch, L. D., and F. H. Quinn, 1996: Climate change scenarios for Great Lakes Basin ecosystem studies. Limnol. Oceanogr., 41, 903-911, doi:10.4319/lo.1996.41.5.0903.
22. Noorbakhsh, N., and R. Wilshaw, 1990: Forecasting water levels in the Great Lakes using multiple linear regression and time series analyses of net basin supplies. Proc. Great Lakes Water Level Forecasting and Statistics Symp., Windsor, ON, Canada, Great Lakes Environmental Research Laboratory, 53-61.
23. Notaro, M., K. Holman, A. Zarrin, E. Fluck, S. Vavrus, and V. Bennington, 2013: Influence of the Laurentian Great Lakes on regional climate. J. Climate, 26, 789-804, doi:10.1175/JCLI-D-12-00140.1.
24. O'Lenic, E. A., D. A. Unger, M. S. Halpert, and K. S. Pelman, 2008: Developments in operational long-range climate prediction at CPC. Wea. Forecasting, 23, 496-515, doi:10.1175/2007WAF2007042.1.
25. Rodionov, S., and R. Assel, 2003: Winter severity in the Great Lakes region: A tale of two oscillations. Climate Res., 24, 19-31, doi:10.3354/cr024019.
26. 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.
27. Seager, R., M. Hoerling, S. Schubert, H. Wang, B. Lyon, A. Kumar, J. Nakamura, and N. Henderson, 2015: Causes of the 2011 to 2014 California drought. J. Climate, 28, 6997-7024, doi:10.1175/JCLI-D-14-00860.1.
28. Thiaw, W. M., and V. B. Kumar, 2015: NOAA's African desk: Twenty years of developing capacity in weather and climate forecasting in Africa. Bull. Amer. Meteor. Soc., 96, 737-753, doi:10.1175/BAMS-D-13-00274.1.
29. Tian, D., C. J. Martinez, W. D. Graham, and S. Hwang, 2014: Statistical downscaling multimodel forecasts for seasonal precipitation and surface temperature over the southeastern United States. J. Climate, 27, 8384-8412, doi:10.1175/JCLI-D-13-00481.1.
30. Vernieres, G., M. Rienecker, R. Kovach, and C. Keppenne, 2012: The GEOS-iODAS: Description and evaluation. NASA Tech. Memo. NASA/TM-2012-104606, 73 pp. [Available online at http://ntrs.nasa.gov/search.jsp?R=20140011278
31. Wood, E. F., S. D. Schubert, A. W. Wood, C. D. Peters-Lidard, K. C. Mo, A. Mariotti, and R. S. Pulwarty, 2015: Prospects for advancing drought understanding, monitoring, and prediction. J. Hydrometeor., 16, 1636-1657, doi:10.1175/JHM-D-14-0164.1.
32. Yuan, X., J. K. Roundy, E. F. Wood, and J. Sheffield, 2015: Seasonal forecasting of global hydrologic extremes: System development and evaluation over GEWEX basins. Bull. Amer. Meteor. Soc., 96, 1895-1912, doi:10.1175/BAMS-D-14-00003.1.
33. 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.