Improved sub-seasonal meteorological forecast skill using weighted multi-model ensemble simulations

Environmental Research Letters

Volumn 11, Issue 9, 2016, Pages

  Wanders, Niko ^a   Wood, Eric F ^a  

^a Princeton University   (United States)

Author keywords

extreme events; global; NMMEphase 2; sub seasonal forecasting; weighted ensemble mean

Indexed keywords

DECISION MAKING; FORECASTING;

EXTREME EVENTS; GLOBAL; NMMEPHASE 2; SEASONAL FORECASTING; WEIGHTED ENSEMBLE MEAN;

WEATHER FORECASTING;

ATMOSPHERIC MODELING; DECISION MAKING; ENSEMBLE FORECASTING; EXTREME EVENT; GLOBAL CLIMATE; OPTIMIZATION; SEASONAL VARIATION; UNCERTAINTY ANALYSIS;

EID: 84992077432     PISSN: 17489318     EISSN: 17489326     Source Type: Journal    
DOI: 10.1088/1748-9326/11/9/094007     Document Type: Article

References (27)

1. Brier G W 1950 Verification of forecasts expressed in terms of probability Mon. Weather Rev. 78 1-3
2. Casanova S and Ahrens B 2009 On the weighting of multimodel ensembles in seasonal and short-range weather forecasting Mon. Weather Rev. 137 3811-22
3. DelSole T 2007 A bayesian framework for multimodel regression J. Clim. 20 2810-26
4. DelSole T, Yang X and Tippett M K 2013 Is unequal weighting significantly better than equal weighting for multi-model forecasting? Q. J. R. Meteorol. Soc. 139 176-83
5. Demargne J et al 2014 The science of NOAA's operational hydrologic ensemble forecast service Bull. Am. Meteorol. Soc. 95 79-98
6. Fan Y and Van den Dool H 2011 Bias correction and forecast skill of NCEP GFS ensemble week-1 and week-2 precipitation, 2 m surface air temperature, and soil moisture forecasts Weather Forecast. 26 355-70
7. Gates W L et al 1998 An overview of the results of the atmospheric model intercomparison project (AMIP I) Bull. Am. Meterol. Soc. 73 1962-70
8. Giorgi F and Francisco R 2000 Uncertainties in regional climate change prediction: a regional analysis of ensemble simulations with the HADCM2 coupled AOGCM Clim. Dyn. 16 169-82
9. Haughton N, Abramowitz G, Pitman A and Phipps S J 2015 Weighting climate model ensembles for mean and variance estimates Clim. Dyn. 45 3169-81
10. Hurrell J W et al 2013 The community Earth system model: a framework for collaborative research Bull. Am. Meteorol. Soc. 94 1339-60
11. Jia L et al 2015 Improved seasonal prediction of temperature and precipitation over land in a high-resolution GFDL climate model J. Clim. 28 2044-62
12. Kharin V V and Zwiers F W 2002 Climate predictions with multimodel ensembles J. Clim. 15 793-9
13. Kirtman B et al 2014 The North American multimodel ensemble: phase-1 seasonal-to-interannual prediction; phase-2 toward developing intraseasonal prediction Bull. Am. Meteorol. Soc. 95 585-601
14. Krishnamurti T N, Kishtawal C M, LaRow T E, Bachiochi D R, Zhang Z, Williford C E, Gadgil S and Surendran S 1999 Improved weather and seasonal climate forecasts from multimodel superensemble Science 285 1548-50
15. Kundzewicz Z W and Kaczmarek Z 2000 Coping with hydrological extremes Water Int. 25 66-75
16. Magnusson L and Källén E 2013 Factors influencing skill improvements in the ECMWF forecasting system Mon. Weather Rev. 141 3142-53
17. Merryfield W J, Lee W-S, Boer G J, Kharin V V, Scinocca J F, Flato G M, Ajayamohan R S, Fyfe J C, Tang Y and Polavarapu S 2013 The Canadian seasonal to interannual prediction system: I. Models and initialization Mon. Weather Rev. 141 2910-45
18. Peña M and van den Dool H 2008 Consolidation of multimodel forecasts by ridge regression: application to Pacific sea surface temperature J. Clim. 21 6521-38
19. Ray D K, Gerber J S, MacDonald G K and West P C 2015 Climate variation explains a third of global crop yield variability Nat. Commun. 6 5989
20. Sheffield J, Goteti G and Wood E F 2006 Development of a 50-yr high-resolution global dataset of meteorological forcings for land surface modeling J. Clim. 19 3088-111
21. Sheffield J et al 2014 A drought monitoring and forecasting system for Sub-Sahara African water resources and food security Bull. Am. Meteorol. Soc. 95 861-82
22. Vecchi G A et al 2014 On the seasonal forecasting of regional tropical cyclone activity J. Clim. 27 7994-8016
23. Wanders N, Karssenberg D, de Roo A, de Jong S M and Bierkens M F P 2014 The suitability of remotely sensed soil moisture for improving operational flood forecasting Hydrol. Earth Syst. Sci. 18 2343-57
24. Wanders N and Wada Y 2015 Decadal predictability of river discharge with climate oscillations over the 20th and early 21st century Geophys. Res. Lett. 42 10689-95
25. Wang W, Chen M and Kumar A 2010 An assessment of the CFS real-time seasonal forecasts Weather Forecast. 25 950-69
26. Weigel A P, Liniger M A and Appenzeller C 2008 Can multi-model combination really enhance the prediction skill of probabilistic ensemble forecasts? Q. J. R. Meteorol. Soc. 134 241-60
27. Wilks D S 2006 Statistical Methods in the Atmospheric Sciences 2nd edn (New York: Academic) p 627