Skill of ENSEMBLES seasonal re-forecasts for malaria prediction in West Africa

Geophysical Research Letters

Volumn 39, Issue 23, 2012, Pages

  Jones, A E ^a   Morse, A P ^a  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE MODELS; COMPUTER SIMULATION; FORECASTING; RAIN;

CAMEROON; CLIMATE VARIABLES; GENERAL CIRCULATION; INTERANNUAL VARIABILITY; LOW TEMPERATURES; NIGER; NORTHERN NIGERIA; RAINFALL FORECASTS; RAINFALL VARIABILITY; REANALYSIS; SUB-SAHARAN; WEST AFRICA;

DISEASES;

ANNUAL VARIATION; DISEASE INCIDENCE; DISEASE PREVALENCE; ENSEMBLE FORECASTING; GENERAL CIRCULATION MODEL; MALARIA; PERFORMANCE ASSESSMENT; PRECIPITATION (CLIMATOLOGY); PREDICTION; RISK FACTOR; TEMPERATURE PROFILE; UPLAND REGION; WEATHER FORECASTING;

CAMEROON; NIGER [WEST AFRICA]; NIGERIA; WEST AFRICA;

EID: 84871339336     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1029/2012GL054040     Document Type: Article

References (31)

1. Alonso, D., M. J. Bouma, and M. Pascual (2011), Epidemic malaria and warmer temperature trends in recent decades in an East African highland, Proc. R. Soc. London, Ser. B, 278, 1661-1669, doi:10.1098/rspb.2010.2020.
2. Batté, L., and M. Déqué (2011), Seasonal predictions of precipitation over Africa using coupled ocean-atmosphere general circulation models: Skill of the ENSEMBLES project multimodel ensemble forecasts, Tellus, Ser. A, 63, 283-299, doi:10.1111/j.1600-0870.2010.00493.x.
3. Bayoh, M. N., and S. W. Lindsay (2003), Effect of temperature on the development of the aquatic stage of Anopheles gambiae sensu stricto (Diptera: Culicidae), Bull. Entomol. Res., 93, 375-381, doi:10.1079/BER2003259.
4. Bayoh, M. N., and S. W. Lindsay (2004), Temperature-related duration of aquatic stages of the Afrotropical malaria vector mosquito Anopheles gambiae in the laboratory, Med. Vet. Entomol., 18, 174-179, doi:10.1111/j.0269-283X.2004. 00495.x.
5. Bayoh, M. N., C. J. Thomas, and S. W. Lindsay (2001), Mapping distributions of chromosomal forms of Anopheles gambiae in West Africa using climate data, Med. Vet. Entomol., 15, 267-274, doi:10.1046/j.0269-283x.2001. 00298.x.
6. Caminade, C., et al. (2011), Mapping Rift Valley Fever and Malaria risk over West Africa using climatic indicators, Atmos. Sci. Lett., 12, 96-103, doi:10.1002/asl.296.
7. Detinova, T. S., W. N. Beklemishev, and D. S. Bertram (1962), Age-Grouping Methods in Diptera of Medical Importance, World Health Organ. Monogr. Ser., vol. 47, 216 pp., World Health Organ., Geneva, Switzerland.
8. Gemperli, A., N. Sogoba, and T. Smith (2006), Malaria mapping using transmission models: Application to survey data from Mali, Am. J. Epidemiol., 163, 289-297, doi:10.1093/aje/kwj026.
9. Githeko, A. K., S. W. Lindsay, U. E. Confalonieri, and J. A. Patz (2000), Climate change and vector-borne diseases: A regional analysis, Bull. World Health Organ., 78, 1136-1147.
10. Hashizume, M., L. F. Chaves, and N. Minakawa (2012), Indian Ocean Dipole drives malaria resurgence in East African highlands, Sci. Rep., 2, 269, doi:10.1038/srep00269.
11. Hoshen, M. B., and A. P. Morse (2004), A weather-driven model of malaria transmission, Malar. J., 3, 32, doi:10.1186/1475-2875-3-32.
12. Huffman, G. J., R. F. Adler, P. Arkin, A. Chang, R. Ferraro, A. Gruber, J. Janowiak, A. McNab, B. Rudolf, and U. Schneider (1997), The Global Precipitation Climatology Project (GPCP) combined precipitation dataset, Bull. Am. Meteorol. Soc., 78, 5-20, doi:10.1175/1520-0477(1997) 078〈0005: TGPCPG〉2.0.CO;2.
13. Jones, A. E., and A. P. Morse (2010), Application and validation of a seasonal prediction system using a dynamic malaria model, J. Clim., 23, 4202-4215, doi:10.1175/2010JCLI3208.1.
14. Kalnay, E., et al. (1996), The NCEP/NCAR 40-year reanalysis project, Bull. Am. Meteorol. Soc., 77, 437-471, doi:10.1175/1520-0477(1996) 077〈0437:TNYRP〉2.0.CO;2.
15. Kinter, J., M. Fennessy, V. Krishnamurphy, and L. Marx (2004), An evaluation of the apparent interdecadal shift in the tropical divergent circulation in the NCEP-NCAR reanalysis, J. Clim., 17, 349-361, doi:10.1175/1520-0442(2004)017〈0349:AEOTAI〉2.0.CO;2.
16. Lindsay, S. W., and W. J. M. Martens (1998), Malaria in the African highlands: Past, present and future, Bull. World Health Organ., 76, 33-45.
17. Martens, W. J. M., T. H. Jettens, J. Rotmans, and L. W. Niessen (1995), Climate change and vector-borne diseases-A global modelling perspective, Global Environ. Change, 5, 195-209, doi:10.1016/0959-3780(95)00051-O.
18. Mason, I. B. (2003), Binary events, in Forecast Verification: A Practitioner's Guide in Atmospheric Science, edited by I. T. Jolliffe and D. B. Stephenson, pp. 37-73, John Wiley, Chichester, U. K.
19. Mason, S. J., and N. E. Graham (2002), Areas beneath the relative operating characteristics (ROC) and relative operating levels (ROL) curves: Statistical significance and interpretation, Q. J. R. Meteorol. Soc., 128, 2145-2166, doi:10.1256/003590002320603584.
20. Moron, V., N. Philippon, and B. Fontaine (2004), Simulation of West African monsoon circulation in four atmospheric general circulation models forced by prescribed sea surface temperature, J. Geophys. Res., 109, D24105, doi:10.1029/2004JD004760.
21. Morse, A. P., F. J. Doblas-Reyes, M. B. Hoshen, R. Hagedorn, and T. N. Palmer (2005), A forecast quality assessment of an end-to-end probabilistic multimodel seasonal forecast system using a malaria model, Tellus, Ser. A, 57, 464-475, doi:10.1111/j.1600-0870.2005.00124.x.
22. Nájera, J. A., R. L. Kouznetsov, and C. Delacollette (1998), Malaria epidemics: Detection and control, forecasting and prevention, Rep. WHO/MAL/98.1084, World Health Organ., Geneva, Switzerland.
23. Palmer, T. N., et al. (2004), Development of a European Multi-model Ensemble System for Seasonal-to-Interannual Prediction (DEMETER), Bull. Am. Meteorol. Soc., 85, 853-872, doi:10.1175/BAMS-85-6-853.
24. Poccard, I., S. Janicot, and P. Camberlin (2000), Comparison of rainfall structures between NCEP/NCAR reanalysis and observed data over tropical Africa, Clim. Dyn., 16, 897-915, doi:10.1007/s003820000087.
25. Saha, S., et al. (2010), The NCEP Climate Forecast System reanalysis, Bull. Am. Meteorol. Soc., 91, 1015-1057, doi:10.1175/2010BAMS3001.1.
26. Thomson, M. C., F. J. Doblas-Reyes, S. J. Mason, R. Hagedorn, S. J. Connor, T. Phindela, A. P. Morse, and T. N. Palmer (2006), Malaria early warnings based on seasonal climate forecasts from multi-model ensembles, Nature, 439, 576-579, doi:10.1038/nature04503.
27. Tompkins, A. M., and L. Feudale (2010), Seasonal ensemble predictions of West African monsoon precipitation in the ECMWF System 3 with a focus on the AMMA special observing period in 2006, Weather Forecast., 25, 768-788, doi:10.1175/2009WAF2222236.1.
28. Van der Linden, P. J., and J. F. B. Mitchell (Eds.) (2009), ENSEMBLES: Climate Change and Its Impacts: Summary of Research and Results From the ENSEMBLES Project, Met Off. Hadley Cent., Exeter, U. K. [Available at http://www.ensembles-eu.org.]
29. Weisheimer, A., F. J. Doblas-Reyes, T. N. Palmer, A. Alessandri, A. Arribas, M. Déqué, K. Keenlyside, M. MacVean, A. Navarra, and P. Rogel (2009), ENSEMBLES: A new multi-model ensemble for seasonal-to-annual predictions-Skill and progress beyond DEMETER in forecasting tropical Pacific SSTs, Geophys. Res. Lett., 36, L21711, doi:10.1029/2009GL040896.
30. World Health Organization (2005), World Malaria Report 2005, Geneva, Switzerland. [Available at http://rbm.who.int/wmr2005/html/toc.htm.]
31. Zhou, G., N. Minakawa, A. K. Githeko, and G. Yan (2004), Association between climate variability and malaria epidemics in the East African highlands, Proc. Natl. Acad. Sci. U. S. A., 101, 2375-2380, doi:10.1073/pnas.0308714100.