Calibration and combination of monthly near-surface temperature and precipitation predictions over Europe

Climate Dynamics

Volumn 53, Issue 12, 2019, Pages 7305-7320

  Rodrigues, Luis R L ^a   Doblas Reyes, Francisco J ^b,c   Coelho, Caio A S ^a  

^a INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

^b BARCELONA SUPERCOMPUTING CENTER   (Spain)

^c INSTITUCIÓ CATALANA DE RECERCA I ESTUDIS AVANÇATS ICREA   (Spain)

Author keywords

Climate prediction; Forecast assimilation; Forecast quality assessment; Multimodel ensemble

Indexed keywords

CALIBRATION; CLIMATE PREDICTION; CLIMATE VARIATION; DATA ASSIMILATION; ENSEMBLE FORECASTING; PRECIPITATION (CLIMATOLOGY); SURFACE TEMPERATURE;

ATLANTIC OCEAN; ATLANTIC OCEAN (NORTH); EUROPE; MEDITERRANEAN SEA;

EID: 85042606204     PISSN: 09307575     EISSN: 14320894     Source Type: Journal    
DOI: 10.1007/s00382-018-4140-4     Document Type: Article

References (39)

1. Alessandri A, Borrelli A, Navarra A, Arribas A, Déqué M, Rogel P, Weisheimer A (2011) Evaluation of probabilistic quality and value of the ENSEMBLES multimodel seasonal forecasts: comparison with DEMETER. Mon Weather Rev 139:581–607
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
3. Barnett TP, Preisendorfer R (1987) Origins and levels of monthly and seasonal forecast skill for United States surface air temperatures determined by canonical correlation analysis. Mon Weather Rev 115:1825–1850
4. Coelho CAS, Pezzulli S, Balmaseda M, Doblas-Reyes FJ, Stephenson DB (2004) Forecast calibration and combination: a simple Bayesian approach for ENSO. J Clim 17:1504–1516
5. Coelho CAS, Stephenson DB, Balmaseda M, Doblas-Reyes FJ, van Oldenborgh GJ (2006) Toward an integrated seasonal forecasting system for South America. J Clim 19:3704–3721
6. Dee DP, Uppala SM, Simmons AJ, Berrisford P, Poli P, Kobayashi S, Andrae U, Balmaseda MA, Balsamo G, Bauer P, Bechtold P, Beljaars ACM, van de Berg L, Bidlot J, Bormann N, Delsol C, Dragani R, Fuentes M, Geer AJ, Haimberger L, Healy SB, Hersbach H, Holm EV, Isaksen L, Kallberg P, Kohler M, Matricardi M, McNally AP, Monge-Sanz BM, Morcrette J-J, Park B-K, Peubey C, Rosnay P, Tavolato C, Thepaut J-N, Vitart F (2011) The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q J R Meteorol Soc 137:553–597
7. Doblas-Reyes FJ, Déqué M, Piedelievre JP (2000) Multi-model spread and probabilistic seasonal forecasts in PROVOST. Q J R Meteorol Soc 126:2069–2087
8. Doblas-Reyes FJ, Hagedorn R, Palmer TN (2005) The rationale behind the success of multi-model ensembles in seasonal forecasting. Part II: calibration and combination. Tellus A 57:234–252
9. Doblas-Reyes FJ, Weisheimer A, Déqué M, Keenlyside N, McVean M, Murphy JM, Rogel P, Smith D, Palmer TN (2009) Addressing model uncertainty in seasonal and annual dynamical seasonal forecasts. Q J R Meteorol Soc 135:1538–1559
10. Doblas-Reyes FJ, Garcia-Serrano J, Lienert F, Pinto-Biescas A, Rodrigues LRL (2013) Seasonal climate predictability and forecasting: status and prospects. WIREs Clim Change 4:245–268
11. Eden JM, van Oldenborgh GJ, Hawkins E, Suckling EB (2015) A global empirical system for probabilistic seasonal climate prediction. Geosci Model Dev Discuss 8:3941–3970
12. EEA (2015) European Environment Agency: Global and European temperatures (CSI 012/CLIM 001) Assessment. http://www.eea.europa.eu/data-and-maps/indicators/global-and-european-temperature-1/assessment. Accessed 7 Aug 2015
13. Gneiting T, Raftery AE, Westveld AH, Goldman T (2005) Calibrated probabilistic forecasting using ensemble model output statistics and minimum CRPS estimation. Mon Weather Rev 133:1098–1118
14. Goddard L, Mason SJ, Zebiak SE, Ropelewski CF, Basher R, Cane MA (2001) Current approaches to seasonal to interannual climate predictions. Int J Climatol 21:1111–1152
15. Graham RJ, Gordon M, McLean PJ, Ineson S, Huddleston MR, Davey MK, Brookshaw A, Barnes RTH (2005) A performance comparison of coupled and uncoupled versions of the Met Office seasonal prediction general circulation model. Tellus A 57:320–339
16. Hagedorn R, Doblas-Reyes FJ, Palmer TN (2005) The rationale behind the success of multi-model ensembles in seasonal forecasting-I. Basic concept. Tellus A 57:219–233
17. Hersbach H (2000) Decomposition of the continuous ranked probability score for ensemble prediction systems. Weather Forecast 15:559–570
18. Huffman GJ, Bolvin DT (2013) GPCP Version 2.2 combined precipitation data set documentation, internet publication, pp 1–46. http://www1.ncdc.noaa.gov/pub/data/gpcp/gpcp-v2.2/doc/V2.2_doc.pdf. Accessed 16 Nov 2012
19. Johansson A, Barnston A, Saha S, van den Dool H (1998) On the level and origin of seasonal forecast skill in northern Europe. J Atmos Sci 55:103–127
20. Jolliffe IT, Stephenson DB (2012) Forecast verification: a practitioner’s guide in atmospheric science, Second edn. Wiley, Chichester
21. Kim HM, Webster PJ, Curry JA (2012) Seasonal prediction skill of ECMWF System 4 and NCEP CFSv2 retrospective forecast for the Northern Hemisphere Winter. Clim Dyn 39:2957–2973
22. Kirtman BP, Min D, Infanti JM, Kinter JL III, Paolino DA, Zhang Q, van den Dool H, Saha S, Mendez MP, Becker E, Peng P, Tripp P, Huang J, DeWitt DG, Tippett MK, Barnston AG, Li S, Rosati A, Schubert SD, Rienecker M, Suarez M, Li ZE, Marshak J, Lim Y-K, Tribbia J, Pegion K, Merryfield WJ, Denis B, Wood EF (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
23. Mason SJ (2008) Understanding forecast verification statistics. Meteorol Appl 15:31–40
24. Mason SJ, Baddour O (2008) Statistical modeling. In: Troccoli A, Harrison MSJ, Anderson DLT, Mason SJ (eds) Seasonal climate: forecasting and managing risk. Springer Academic Publishers, Dordrecht, pp 167–206
25. Mason SJ, Goddard L, Graham NE, Yulaeva E, Sun L, Arkin PA (1999) The IRI seasonal climate prediction system and the 1997/98 El Niño Event. Bull Am Meteorol Soc 80:1853–1873
26. Merryfield WJ, Lee W-S, Boer GJ, Kharin VV, Scinocca JF, Flato GM, Ajayamohan RS, Fyfe JC, Tang Y, Polavarapu S (2013) The canadian seasonal to interannual prediction System. part i: models and initialization. Mon Weather Rev 141:2910–2945
27. Molteni F, Stockdale T, Balmaseda M, Balsamo G, Buizza R, Ferranti L, Magnusson L, Mogensen K, Palmer T, Vitart F (2011) The new ECMWF seasonal forecast system (System 4). ECMWF Technical Memorandum 656. http://www.ecmwf.int/publications/library/do/references/list/14. Accessed 20 Dec 2012
28. Robertson AW, Lall U, Zebiak SE, Goddard L (2004) Improved combination of multiple atmospheric GCM ensembles for seasonal prediction. Mon Weather Rev 132:2732–2744
29. Rodrigues LRL, Doblas-Reyes FJ, Coelho CAS (2014a) Multi-model calibration and combination of tropical seasonal sea surface temperature forecasts. Clim Dyn 42:597–616
30. Rodrigues LRL, García-Serrano J, Doblas-Reyes FJ (2014b) Seasonal forecast quality of the West African monsoon rainfall regimes by multiple forecast systems. J Geophys Res 119:7908–7930
31. Saha S, Moorthi S, Wu X, Wang J, Nadiga S, Tripp P, Behringer D, Hou Y-T, Chuang H, Iredell M, Ek M, Meng J, Yang R, Mendez MP, van den Dool H, Zhang Q, Wang W, Chen M, Becker E (2014) The NCEP climate forecast system version 2. J Clim 27:2185–2208
32. 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) Skillful long-range prediction of European and North American winters. Geophys Res Lett 41:2514–2519
33. Stephenson DB, Coelho CAS, Doblas-Reyes FJ, Balmaseda M (2005) Forecast assimilation: a unified framework for the combination of multi-model weather and climate predictions. Tellus A 57:253–264
34. Stockdale TN, Molteni F, Ferranti L (2015) Atmospheric initial conditions and the predictability of the Arctic Oscillation. Geophys Res Lett 42:1173–1179
35. Vernieres G, Rienecker MM, Kovach R, Keppenne CL (2012) The GEOS-iODAS: Description and evaluation. NASA Technical Report Series on Global Modeling and Data Assimilation TM2012-104606 30
36. Vitart F, Huddleston MR, Déqué M, Peake D, Palmer TN, Stockdale TN, Davey MK, Ineson S, Weisheimer A (2007) Dynamically-based seasonal forecasts of Atlantic tropical storm activity issued in June by EUROSIP. Geophys Res Lett 34:L16815
37. Wang B, Li J-Y, Kang I-S, Shukla J, Park C-K, Kumar A, Schemm J, Cocke S, Kug J-S, Luo J-J, Fu X, Yun W-T, Alves O, Jin E, Kinter J, Kirtman B, Krishnamurti T, Lau N, Lau W, Liu P, Pegion P, Rosati T, Schubert S, Stern W, Suarez M, Yamagate T (2009) Advance and prospectus of seasonal prediction: assessment of the APCC/CliPAS 14 model ensemble retrospective seasonal prediction (1980–2004). Clim Dyn 33:93–117
38. Yuan X, Wood EF, Luo L, Pan M (2011) A first look at climate forecast system version 2 (CFSv2) for hydrological seasonal prediction. Geophys Res Lett 38:L1340
39. Zhang S, Harrison MJ, Rosati A, Wittenberg A (2007) System design and evaluation of coupled ensemble data assimilation for global oceanic climate studies. Mon Weather Rev 135:3541–3564