Global Seasonal forecast system version 5 (GloSea5): A high-resolution seasonal forecast system

Quarterly Journal of the Royal Meteorological Society

Volumn 141, Issue 689, 2015, Pages 1072-1084

  Maclachlan, C ^a   Arribas, A ^a   Peterson, K A ^a   Maidens, A ^a   Fereday, D ^a   Scaife, A A ^a   Gordon, M ^a   Vellinga, M ^a   Williams, A ^a   Comer, R E ^a   Camp, J ^a   Xavier, P ^a   Madec, G ^b  

^a MET OFFICE   (United Kingdom)

^b UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

Author keywords

Arctic Oscillation; Ensembles; ENSO; MJO; Seasonal forecasting; WNPSTH

Indexed keywords

ATMOSPHERIC PRESSURE; CLIMATOLOGY; SEA ICE;

ARCTIC OSCILLATION; ENSEMBLES; ENSO; SEASONAL FORECASTING; WNPSTH;

FORECASTING;

EID: 84921635484     PISSN: 00359009     EISSN: 1477870X     Source Type: Journal    
DOI: 10.1002/qj.2396     Document Type: Article

References (71)

1. Adler R, Huffman G, Chang A, Ferraro R, Xie P, Janowiak J, Rudolf B, Schneider U, Curtis S, Bolvin D, Gruber A, Susskind J, Arkin P, Nelkin E. 2003. The version 2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979-present). J. Hydrometeorol. 4: 1147-1167.
2. Arribas A, Glover M, Maidens A, Peterson K, Gordon M, MacLachlan C, Graham R, Fereday D, Camp J, Scaife AA, Xavier P, McLean P, Colman A, Cusack S. 2011. The GloSea4 ensemble prediction system for seasonal forecasting. Mon. Weather Rev. 139: 1891-1910, doi: 10.1175/2010MWR3615.1.
3. Bain CL, Williams KD, Milton SF, Heming JT. 2013. Objective tracking of African Easterly Waves in Met Office models. Q. J. R. Meteorol. Soc. 140: 47-57, doi: 10.1002/qj.2110.
4. Barnston AG, Tippett MK, L'Heureux ML, Li S, DeWitt DG. 2011. Skill of real-time seasonal ENSO model predictions during 2002-2011: Is our capability increasing? Bull. Am. Meteorol. Soc. 93: 631-651, doi: 10.1175/BAMS-D-11-00111.1.
5. Bengtsson L, Hodges KI, Esch M. 2007. Tropical cyclones in a T159 resolution global climate model: Comparison with observations and re-analyses. Tellus A 59: 396-416, doi: 10.1111/j.1600-0870.2007.00236.x.
6. Berckmans J, Woollings T, Demory ME, Vidale PL, Roberts M. 2013. Atmospheric blocking in a high resolution climate model: Influences of mean state, orography and eddy forcing. Atmos. Sci. Lett. 14: 34-40, doi: 10.1002/asl2.412.
7. Best MJ, Pryor M, Clark DB, Rooney GG, Essery RLH, Ménard CB, Edwards JM, Hendry MA, Porson A, Gedney N, Mercado LM, Sitch S, Blyth E, Boucher O, Cox PM, Grimmond CSB, Harding RJ. 2011. The Joint UK Land Environment Simulator (JULES), model description-Part 1: Energy and water fluxes. Geosci. Model Dev. 4: 677-699, doi: 10.5194/gmd-4-677-2011.
8. Blockley EW, Martin MJ, McLaren AJ, Ryan AG, Waters J, Lea DJ, Mirouze I, Peterson KA, Sellar A, Storkey D. 2013. Recent development of the Met Office operational ocean forecasting system: An overview and assessment of the new global foam forecasts. Geosci. Model Dev. Discuss. 6: 6219-6278, doi: 10.5194/gmdd-6-6219-2013.
9. Blyth E, Best MJ, Cox PM, Essery RLH, Boucher O, Harding RJ, Prentice C, Vidale P, Woodward I. 2006. JULES: A new community land surface model. IGBP Newsl. 66: 9-11.
10. Bowler N, Arribas A, Beare S, Mylne KE, Shutts G. 2009. The local ETKF and SKEB: Upgrades to the MOGREPS short-range ensemble prediction system. Q. J. R. Meteorol. Soc. 135: 767-776.
11. Brown A, Milton S, Cullen M, Golding B, Mitchell J, Shelly A. 2012. Unified modeling and prediction of weather and climate: A 25-year journey. Bull. Am. Meteorol. Soc. 93: 1865-1877, doi: 10.1175/BAMS-D-12-00018.1.
12. Casey K, Brandon T, Cornillon P, Evans R. 2010. The past, present and future of the AVHRR Pathfinder SST Program. In Oceanography from Space: Revisited, Barale V, Gower J, Alberotanza L. (eds.) Springer: Berlin, doi: 10.1007/978-90-481-8681-5_16.
13. Cassou C. 2008. Intraseasonal interaction between the Madden-Julian Oscillation and the North Atlantic Oscillation. Nature 455: 523-527, doi: 10.1038/nature07286.
14. Cionni I, Eyring V, Lamarque JF, Randel WJ, Stevenson DS, Wu F, Bodeker GE, Shepherd TG, Shindell DT, Waugh DW. 2011. Ozone database in support of cmip5 simulations: Results and corresponding radiative forcing. Atmos. Chem. Phys. Discuss. 11: 10875-10933, doi: 10.5194/acpd-11-10875-2011.
15. Cohen J, Jones J. 2011. A new index for more accurate winter predictions. Geophys. Res. Lett. 38: L21701, doi: 10.1029/2011GL049626.
16. Danabasoglu G, Large WG, Briegleb BP. 2010. Climate impacts of parameterized Nordic Sea overflows. J. Geophys. Res.: Oceans 115: C11005, doi: 10.1029/2010JC006243.
17. Dawson A, Matthews AJ, Stevens DP, Roberts MJ, Vidale P. 2012. Importance of oceanic resolution and mean state on the extra-tropical response to El Niño in a matrix of coupled models. Clim. Dyn. 41: 1439-1452, doi: 10.1007/s00382-012-1518-6.
18. Dee DP, Berrisford P, Poli P, Fuentes M. 2009. ERA-Interim for climate monitoring. ECMWF Newslett. 119: 5-6.
19. Derome J, Lin H, Brunet G. 2005. Seasonal forecasting with a simple general circulation model: Predictive skill in the AO and PNA. J. Clim. 18: 597-609, doi: 10.1175/JCLI-3289.1.
20. Donlon CJ, Martin M, Stark J, Roberts-Jones J, Fiedler E, Wimmer W. 2012. The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system. Remote Sens. Environ. AATSR Special Issue. 116: 140-158, doi: 10.1016/j.rse.2010.10.017.
21. ECMWF. 2005. 'ENACT: Enhanced ocean data assimilation and climate prediction'. A European Commission Framework 5 project: Contract no. EVK2-CT2001-00117, 1 January 2002 to 31 December 2004, Technical report, ECMWF: Reading, UK.
22. Folland CK, Scaife AA, Lindesay J, Stephenson DB. 2012. How potentially predictable is northern European winter climate a season ahead? Int. J. Climatol. 32: 801-818, doi: 10.1002/joc.2314.
23. Giorgi F, Francisco R. 2000. Uncertainties in regional climate change prediction: A regional analysis of ensemble simulations with the HADCM2 coupled AOGCM. Clim. Dyn. 16: 169-182.
24. Graham T. 2014. The importance of eddy-permitting model resolution for simulation of the heat budget of tropical instability waves. Ocean Model. 79: 21-32, doi: 10.1016/j.ocemod.2014.04.005.
25. Guilyardi E, Wittenberg A, Fedorov A, Collins M, Wang C, Capotondi A, van Oldenborgh GJ, Stockdale T. 2009. Understanding El Niño in ocean-atmosphere general circulation models: Progress and challenges. Bull. Am. Meteorol. Soc. 90: 325-340, doi: 10.1175/2008BAMS2387.1.
26. Hunke EC, Lipscomb WH. 2010. 'CICE: The sea ice model documentation and software user's manual, version 4.1', Technical report LA-CC-06-012. Los Alamos National Laboratory: Los Alamos, NM.
27. Ingleby B, Huddleston M. 2007. Quality control of ocean temperature and salinity profiles-historical and real-time data. J. Mar. Syst. 65: 158-175, doi: 10.1016/j.jmarsys.2005.11.019.
28. Johansson Å. 2007. Prediction skill of the NAO and PNA from daily to seasonal time scales. J. Clim. 20: 1957-1975, doi: 10.1175/JCLI4072.1.
29. Jones C, Waliser DE, Schemm JKE, Lau WKM. 2000. Prediction skill of the Madden and Julian oscillation in dynamical extended-range forecasts. Clim. Dyn. 16: 273-289.
30. Kim HM, Webster P, Curry J. 2012. Seasonal prediction skill of ECMWF System 4 and NCEP CFSv2 retrospective forecast for the Northern Hemisphere winter. Clim. Dyn. 39: 2957-2973, doi: 10.1007/s00382-012-1364-6.
31. Kossin JP, Camargo SJ, Sitkowski M. 2010. Climate modulation of North Atlantic hurricane tracks. J. Clim. 23: 3057-3076, doi: 10.1175/2010JCLI3497.1.
32. Landsea CW, Franklin JL. 2013. How 'good' are the best tracks?-Estimating uncertainty in the Atlantic Hurricane Database. Mon. Weather Rev. 141: 3576-3592, doi: 10.1175/MWR-D-12-00254.1.
33. Large W, Yeager S. 2009. The global climatology of an interannually varying air-sea flux data set. Clim. Dyn. 33: 341-364, doi: 10.1007/s00382-008-0441-3.
34. Lea DJ, Drecourt JP, Haines K, Martin MJ. 2008. Ocean altimeter assimilation with observational- and model-bias correction. Q. J. R. Meteorol. Soc. 134: 1761-1774, doi: 10.1002/qj.320.
35. Liess S, Waliser DE, Schubert S. 2005. Predictability studies of the intraseasonal oscillation with the ECHAM5 GCM. J. Atmos. Sci. 62: 3320-3336.
36. Lin H, Brunet G, Derome J. 2009. An observed connection between the North Atlantic Oscillation and the Madden-Julian Oscillation. J. Clim. 22: 364-380.
37. Lin H, Brunet G, Fontecilla JS. 2010. Impact of the Madden-Julian Oscillation on the intraseasonal forecast skill of the North Atlantic Oscillation. Geophys. Res. Lett. 37: L19803, doi: 10.1029/2010GL044315.
38. Lu R, Dong B. 2001. Westward extension of North Pacific subtropical high in summer. J. Meteorol. Soc. Jpn. Ser. II 79: 1229-1241.
39. Luo JJ, Masson S, Roeckner E, Madec G, Yamagata T. 2005. Reducing climatology bias in an ocean-atmosphere CGCM with improved coupling physics. J. Clim. 18: 2344-2360, doi: 10.1175/JCLI3404.1.
40. Madden RA, Julian PR. 1994. Observations of the 40-50 day tropical oscillation: A review. Mon. Weather Rev. 122: 813-837.
41. Madec G. 2008. NEMO Ocean Engine, Note du Pole de Modelisation. Institut Pierre-Simon Laplace (IPSL): Paris.
42. Martin M, Hines A, Bell M. 2007. Data assimilation in the FOAM operational short-range ocean forecasting system: A description of the scheme and its impact. Q. J. R. Meteorol. Soc. 133: 981-995.
43. Mogensen K, Balmaseda M, Weaver AT, Martin M, Vidard A. 2009. NEMOVAR: A variational data assimilation system for the NEMO ocean model. In ECMWF Newsletter, Walter Z. (ed.) 120: 17-21. ECMWF: Reading, UK.
44. Mogensen K, Balmaseda MA, Weaver AT. 2012. 'The NEMOVAR ocean data assimilation system as implemented in the ECMWF ocean analysis for System 4', Technical Report TR-CMGC-12-30. CERFACS: Toulouse, France.
45. Müller WA, Appenzeller C, Schär C. 2005. Probabilistic seasonal prediction of the winter North Atlantic Oscillation and its impact on near surface temperature. Clim. Dyn. 24: 213-226, doi: 10.1007/s00382-004-0492-z.
46. OSI-SAF. 2011. Global Sea Ice Concentration Reprocessing Dataset 1978-2009 (v1.1). Ocean and Sea Ice Satellite Application Facility. EUMETSAT: Darmstadt, Germany. http://osisaf.met.no (accessed 25 May 2014).
47. Rawlins F, Ballard SP, Bovis KJ, Clayton AM, Li D, Inverarity GW, Lorenc AC, Payne TJ. 2007. The Met Office global four-dimensional variational data assimilation scheme. Q. J. R. Meteorol. Soc. 133: 347-362, doi: 10.1002/qj.32.
48. Rayner NA, Parker DE, Horton EB, Folland CK, Alexander LV, Rowell DP, Kent EC, Kaplan A. 2003. Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J. Geophys. Res. 108: D14, doi: 10.1029/2002JD002670.
49. Rayner N, Brohan P, Parker D, Folland CK, Kennedy J, Vanicek M, Ansell T, Tett S. 2006. Improved analyses of changes and uncertainties in sea surface temperature measured insitu since the mid-nineteenth century: The HadSST2 data set. J. Clim. 19: 446-469.
50. Roberts MJ, Clayton A, Demory ME, Donners J, Vidale PL, Norton W, Shaffrey L, Stevens DP, Stevens I, Wood RA, Slingo JM. 2009. Impact of resolution on the tropical Pacific circulation in a matrix of coupled models. J. Clim. 22: 2541-2556, doi: 10.1175/2008JCLI2537.1.
51. Roberts MJ, Vidale P, Mizielinski M, Demory ME, Schieman R, Strachan J, Hodges K, Camp J. 2014. Tropical cyclones in the upscale ensemble of high-resolution global climate models. J. Clim. (in press).
52. Scaife AA, Copsey D, Gordon C, Harris C, Hinton T, Keeley S, O'Neill A, Roberts M, Williams K. 2011. Improved Atlantic winter blocking in a climate model. Geophys. Res. Lett. 38: L23703, doi: 10.1029/2011GL049573.
53. Scaife AA, Arribas A, Blockley E, Brookshaw A, Clark RT, Dunstone N, Eade R, Fereday D, Folland CK, Gordon M, Hermanson L, Knight JR, Lea DJ, MacLachlan C, Maidens A, Martin M, Peterson AK, Smith D, Vellinga M, Wallace E, Waters J, Williams A. 2014. Skilful long-range prediction of European and North American winters. Geophys. Res. Lett. 41: 2514-2519, doi: 10.1002/2014GL059637.
54. Smith RD, Maltrud ME, Bryan FO, Hecht MW. 2000. Numerical simulation of the North Atlantic Ocean at 1/10°. J. Phys. Oceanogr. 30: 1532-1561, doi: 10.1175/1520-0485(2000)030<1532:NSOTNA>2.0.CO;2.
55. Smith DM, Eade R, Dunstone NJ, Fereday D, Murphy JM, Pohlmann H, Scaife AA. 2010. Skilful multi-year predictions of Atlantic hurricane frequency. Nat. Geosci. 3: 846-849, doi: 10.1038/ngeo1004.
56. Snedecor GW, Cochran WG. 1989. Statistical Methods (8th edn). Iowa State University Press: Iowa City, IA.
57. Stanski HR, Wilson LJ, Burrows WR. 1989. 'Survey of common verification methods in meteorology', Technical report 8. WMO: Geneva, Switzerland.
58. Strachan J, Vidale PL, Hodges K, Roberts M, Demory ME. 2013. Investigating global tropical cyclone activity with a hierarchy of AGCMs: The role of model resolution. J. Clim. 26: 133-152, doi: 10.1175/JCLI-D-12-00012.1.
59. Strazzo S, Elsner JB, LaRow T, Halperin DJ, Zhao M. 2013. Observed versus GCM-generated local tropical cyclone frequency: Comparisons using a spatial lattice. J. Clim. 26: 8257-8268, doi: 10.1175/JCLI-D-12-00808.1.
60. Thompson DWJ, Wallace JM. 1998. The Arctic Oscillation signature in the wintertime geopotential height and temperature fields. Geophys. Res. Lett. 25: 1297-1300, doi: 10.1029/98GL00950.
61. Vitart F, Huddleston MR, Déqué M, Peake D, Palmer TN, Stockdale TN, Davey MK, Ineson S, Weisheimer A. 2007a. Dynamically-based seasonal forecasts of Atlantic tropical storm activity issued in June by EUROSIP. Geophys. Res. Lett. 34: L16815, doi: 10.1029/2007GL030740.
62. Vitart F, Woolnough S, Balmaseda MA, Tompkins AM. 2007b. Monthly forecast of the Madden-Julian Oscillation using a coupled GCM. Mon. Weather Rev. 135: 2700-2715, doi: 10.1175/MWR3415.1.
63. Waliser DE, Lau KM, Stern W, Jones C. 2003. Potential predictability of the Madden-Julian Oscillation. Bull. Am. Meteorol. Soc. 84: 33-50.
64. Walters DN, Best MJ, Bushell AC, Copsey D, Edwards JM, Falloon PD, Harris CM, Lock AP, Manners JC, Morcrette CJ, Roberts MJ, Stratton RA, Webster S, Wilkinson JM, Willett MR, Boutle IA, Earnshaw PD, Hill PG, MacLachlan C, Martin GM, Moufouma-Okia W, Palmer MD, Petch JC, Rooney GG, Scaife AA, Williams KD. 2011. The Met Office Unified Model Global Atmosphere 3.0/3.1 and JULES Global Land 3.0/3.1 configurations. Geosci. Model Dev. 4: 919-941, doi: 10.5194/gmd-4-919-2011.
65. Wang B, Xiang B, Lee JY. 2013a. Subtropical high predictability establishes a promising way for monsoon and tropical storm predictions. Proc. Natl. Acad. Sci. U.S.A. 110, doi: 10.1073/pnas.1214626110.
66. Wang W, Hung MP, Weaver S, Kumar A, Fu X. 2013b. MJO prediction in the NCEP climate forecast system version 2. Clim. Dyn. 42: 2509-2520, doi: 10.1007/s00382-013-1806-9.
67. Waters J, Lea DJ, Martin MJ, Mirouze I, Weaver AT, While J. 2014. Implementing a variational data assimilation system in an operational 1/4 degree global ocean model. Q. J. R. Meteorol. Soc., doi: 10.1002/qj.2388.
68. Weedon GP, Gomes S, Viterbo P, Shuttleworth WJ, Blyth E, Österle H, Adam JC, Bellouin N, Boucher O, Best M. 2011. Creation of the watch forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century. J. Hydrometeorol. 12: 823-848, doi: 10.1175/2011JHM1369.1.
69. Wheeler MC, Hendon HH. 2004. An all-season real-time multivariate MJO index: Development of an index for monitoring and prediction. Mon. Weather Rev. 132: 1917-1932.
70. Wilks DS. 1995. Statistical Methods in the Atmospheric Sciences. Academic Press: London.
71. Woodruff S, Worley S, Lubker S, Ji Z, Freeman J, Berry D, Brohan P, Kent EC, Reynolds R, Smith S, Wilkinson C. 2011. ICOADS release 2.5: Extensions and enhancements to the surface marine meteorological archive. Int. J. Climatol. 31: 951-967, doi: 10.1002/joc.2103.