Preparing suitable climate scenario data to assess impacts on local food safety

Food Research International

Volumn 68, Issue , 2015, Pages 31-40

  Liu, Cheng ^a   Hofstra, Nynke ^a   Leemans, Rik ^a  

^a WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

Climate change; Daily precipitation; Daily temperature; Delta method; Scenario analysis; Statistical downscaling

Indexed keywords

ATMOSPHERIC RADIATION; BACTERIA; CHEMICAL CONTAMINATION; CLIMATE MODELS; FOOD SAFETY;

DAILY PRECIPITATIONS; DAILY TEMPERATURES; DELTA METHOD; SCENARIO ANALYSIS; STATISTICAL DOWNSCALING;

CLIMATE CHANGE;

BACTERIA (MICROORGANISMS); LACTOBACILLUS PLANTARUM;

EID: 84922670822     PISSN: 09639969     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foodres.2014.08.017     Document Type: Article

References (60)

1. Arnell N., Hudson D., Jones R. Climate change scenarios from a regional climate model: Estimating change in runoff in southern Africa. Journal of Geophysical Research, [Atmospheres] 2003, 108(D16).
2. Brayshaw D.J., Hoskins B., Blackburn M. The basic ingredients of the North Atlantic storm track. Part I: Land-sea contrast and orography. Journal of the Atmospheric Sciences 2009, 66(9).
3. Chen C.-C., McCarl B.A. Pesticide usage as influenced by climate: A statistical investigation. Climate Change 2001, 50:475-487.
4. Christensen N.S., Lettenmaier D.P. A multimodel ensemble approach to assessment of climate change impacts on the hydrology and water resources of the Colorado River Basin. Hydrology and Earth System Sciences Discussions 2007, 11(4):1417-1434.
5. Collins W., Bellouin N., Doutriaux-Boucher M., Gedney N., Halloran P., Hinton T., et al. Development and evaluation of an Earth-system model-HadGEM2. Geoscientific Model Development Discussion 2011, 4(2):997-1062.
6. Collins W., Bellouin N., Doutriaux-Boucher M., Gedney N., Hinton T., Jones C., et al. Evaluation of the HadGEM2 model. Hadley Cent. Tech. Note 2008, 74.
7. Crawford T., Betts N.L., Favis-Mortlock D. GCM grid-box choice and predictor selection associated with statistical downscaling of daily precipitation over Northern Ireland. Climate Research 2007, 34(2):145.
8. Delcour I.K., Spanoghe P., Uyttendaele M. Impact of climate change on pesticide use: A literature review. Food Research International 2015, 68:7-15. (in this issue).
9. Deser C., Phillips A., Bourdette V., Teng H. Uncertainty in climate change projections: The role of internal variability. Climate Dynamics 2012, 38(3-4):527-546.
10. Diaz-Nieto J., Wilby R.L. A comparison of statistical downscaling and climate change factor methods: Impacts on low flows in the River Thames, United Kingdom. Climatic Change 2005, 69(2-3):245-268.
11. FAO Climate change: Implications for food safety (AGN, Trans.). High-Level Conference on World Food Security: The Challenges of Climate Change and Bioenergy 2008, 49. (Rome).
12. Fatichi S., Ivanov V.Y., Caporali E. Assessment of a stochastic downscaling methodology in generating an ensemble of hourly future climate time series. Climate Dynamics 2013, 40(7-8):1841-1861.
13. Flato G., Marotzke J., Abiodun B., Braconnot P., Chou S.C., Collins W., et al. Evaluation of Climate models. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change 2013, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. T.F. Stocker, D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex, P.M. Midgley (Eds.).
14. Gent P.R., Danabasoglu G., Donner L.J., Holland M.M., Hunke E.C., Jayne S.R., et al. The community climate system model version 4. Journal of Climate 2011, 24(19):4973-4991.
15. Harvey D., Gregory J., Hoffert M., Jain A., Lal M., Leemans R., et al. An Introduction to Simple Climate Models Used in the IPCC Second Assessment Report. IPCC Technical Paper 1997.
16. Hawkins E., Osborne T.M., Ho C.K., Challinor A.J. Calibration and bias correction of climate projections for crop modelling: An idealised case study over Europe. [Agricultural prediction using climate model ensembles]. Agricultural and Forest Meteorology 2013, 170(0):19-31. 10.1016/j.agrformet.2012.04.007.
17. Hawkins E., Sutton R. The potential to narrow uncertainty in regional climate predictions. Bulletin of the American Meteorological Society 2009, 90(8):1095-1107.
18. Ho C.K., Stephenson D.B., Collins M., Ferro C.A., Brown S.J. Calibration strategies: A source of additional uncertainty in climate change projections. Bulletin of the American Meteorological Society 2012, 93(1):21-26.
19. Hofstra N., New M., McSweeney C. The influence of interpolation and station network density on the distributions and trends of climate variables in gridded daily data. Climate Dynamics 2010, 35(5):841-858. 10.1007/s00382-009-0698-1.
20. Houtekamer P., Derome J. Methods for ensemble prediction. Monthly Weather Review 1995, 123(7):2181-2196.
21. Ivanov V.Y., Bras R.L., Curtis D.C. A weather generator for hydrological, ecological, and agricultural applications. Water Resources Research 2007, 43(10). (n/a-n/a). 10.1029/2006wr005364.
22. Jacxsens L., Luning P.A., van der Vorst J.G.A.J., Devlieghere F., Leemans R., Uyttendaele M. Simulation modelling and risk assessment as tools to identify the impact of climate change on microbiological food safety-The case study of fresh produce supply chain. Food Research International 2010, 43(7):1925-1935.
23. Jones R.N. Managing uncertainty in climate change projections-issues for impact assessment. Climatic Change 2000, 45(3-4):403-419.
24. Jones C., Hughes J., Bellouin N., Hardiman S., Jones G., Knight J., et al. The HadGEM2-ES implementation of CMIP5 centennial simulations. Geoscientific Model Development 2011, 4(3):543-570.
25. Karpati A.M., Perrin M.C., Matte T., Leighton J., Schwartz J., Barr R.G. Pesticide spraying for West Nile virus control and emergency department asthma visits in New York City, 2000. Environmental Health Perspectives 2004, 112(11):1183.
26. Kharin V.V., Zwiers F.W. Climate predictions with multimodel ensembles. Journal of Climate 2002, 15(7):793-799. 10.1175/1520-0442(2002)015<0793:cpwme>2.0.co;2.
27. Lake L., Abdelhamid A., Hooper L., Bentham G., Boxall A., Draper A., et al. Food and climate change: A review of the effects of climate change on food within the remit of the food standards agency 2010, Food Standards Agency.
28. Leemans R., Cramer W.P. The IIASA Database for Mean Monthly Values of Temperature, Precipitation, and Cloudiness on a Global Terrestrial Grid 1991, International Institute for Applied Systems Analysis, Laxenburg, Austria.
29. Liu C., Hofstra N., Franz E. Impacts of climate change on the microbial safety of pre-harvest leafy green vegetables as indicated by Escherichia coli O157 and Salmonella spp. International Journal of Food Microbiology 2013, 163(2-3):119-128. 10.1016/j.ijfoodmicro.2013.02.026.
30. Meehl G.A., Stocker T.F., Collings W.D., Friedlingstein P., Gaye A.T., Gregory J.M., et al. Global Climate Projections. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change 2007, S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor, H.L. Miller (Eds.).
31. Metzger M., Bunce R., Leemans R., Viner D. Projected environmental shifts under climate change: European trends and regional impacts. Environmental Conservation 2008, 35(01):64-75.
32. Miraglia M., De Santis B., Brera C. Climate change: Implications for mycotoxin contamination of foods. Journal of Biotechnology 2008, 136(Supplement 1):S715.
33. Moss R.H., Edmonds J.A., Hibbard K.A., Manning M.R., Rose S.K., van Vuuren D.P., et al. The next generation of scenarios for climate change research and assessment. Nature 2010, 463(7282):747-756.
34. Nakicenovic N., Alcamo J., Davis G., De Vries B., Fenhann J., Gaffin S., et al. Emissions Scenarios 2000.
35. Nelson G.C. Climate Change: Impact on Agriculture and Costs of Adaptation 2009, IFPRI, Washington.
36. New M., Hulme M., Jones P. Representing twentieth-century space-time climate variability. Part I: Development of a 1961-90 mean monthly terrestrial climatology. Journal of Climate 1999, 12(3).
37. Ntegeka V., Willems P. Trends and multidecadal oscillations in rainfall extremes, based on a more than 100-year time series of 10min rainfall intensities at Uccle, Belgium. Water Resources Research 2008, 44(7):W07402. 10.1029/2007wr006471.
38. Prentice I.C., Cramer W., Harrison S.P., Leemans R., Monserud R.A., Solomon A.M. Special Paper: A global biome model based on plant physiology and dominance, soil properties and climate. Journal of Biogeography 1992, 19(2):117-134. 10.2307/2845499.
39. Ramirez-Villegas J., Challinor A. Assessing relevant climate data for agricultural applications. Agricultural and Forest Meteorology 2012, 161:26-45.
40. Ratkowsky D.A., Lowry R.K., McMeekin T.A., Stokes A.N., Chandler R.E. Model for bacterial culture growth rate throughout the entire biokinetic temperature range. Journal of Bacteriology 1983, 154(3):1222-1226.
41. Schaub W.R. A Method for Estimating Missing Hourly Temperatures Using Daily Maximum and Minimum Temperatures 1991, 21. USAF Environmental Technical Applications Center (USAFETAC/DNO), Scott Air Force Base, Illinois.
42. Semenov M.A. Simulation of extreme weather events by a stochastic weather generator. Climate Research 2007, 35(3):203.
43. Semenov M.A., Barrow E. Use of a stochastic weather generator in the development of climate change scenarios. Climatic Change 1997, 35(4):397-414. 10.1023/a:1005342632279.
44. Semenov M.A., Brooks R.J. Spatial interpolation of the LARS-WG stochastic weather generator in Great Britain. Climate Research 1999, 11(2):137-148. 10.3354/cr011137.
45. Semenov M.A., Brooks R.J., Barrow E.M., Richardson C.W. Comparison of the WGEN and LARS-WG stochastic weather generators for diverse climates. Climate Research 1998, 10(2):95-107. 10.3354/cr010095.
46. Sillmann J., Kharin V.V., Zhang X., Zwiers F.W., Bronaugh D. Climate extremes indices in the CMIP5 multimodel ensemble: Part 1. Model evaluation in the present climate. Journal of Geophysical Research, [Atmospheres] 2013, (n/a-n/a). 10.1002/jgrd.50203.
47. Stocker T.F., Dahe Q., Plattner G.-K. Climate Change 2013: The Physical Science Basis. Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers 2013, IPCC.
48. Taylor K.E., Stouffer R.J., Meehl G.A. An overview of CMIP5 and the experiment design. Bulletin of the American Meteorological Society 2012, 93(4):485-498.
49. Tebaldi C., Knutti R. The use of the multi-model ensemble in probabilistic climate projections. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2007, 365(1857):2053-2075.
50. Tirpak D. Emissions Scenarios. Climate Change: The IPCC Response Strategies 1990, 9-43.
51. Van Boxstael S., Habib I., Jacxsens L., De Vocht M., Baert L., Van De Perre E., et al. Food safety issues in fresh produce: Bacterial pathogens, viruses and pesticide residues indicated as major concerns by stakeholders in the fresh produce chain. Food Control 2013, 32(1):190-197. 10.1016/j.foodcont.2012.11.038.
52. Van de Perre E., Deschuyffeleer N., Jacxsens L., Vekeman F., Van Der Hauwaert W., Asam S., et al. Screening of moulds and mycotoxins in tomatoes, bell peppers, onions, soft red fruits and derived tomato products. Food Control 2014, 37(0):165-170. 10.1016/j.foodcont.2013.09.034.
53. van Vuuren D., Edmonds J., Kainuma M., Riahi K., Thomson A., Hibbard K., et al. The representative concentration pathways: An overview. Climatic Change 2011, 109(1):5-31. 10.1007/s10584-011-0148-z.
54. Waichler S.R., Wigmosta M.S. Development of hourly meteorological values from daily data and significance to hydrological modeling at HJ Andrews Experimental Forest. Journal of Hydrometeorology 2003, 4(2):251-263.
55. Wesemael W., Moens M. Quality damage on carrots (Daucus carota L.) caused by the root-knot nematode Meloidogyne chitwoodi. Nematology 2008, 10(2):261-270. 10.1163/156854108783476368.
56. Wilby R.L., Wigley T. Downscaling general circulation model output: a review of methods and limitations. Progress in Physical Geography 1997, 21(4):530-548.
57. Wilby R., Wigley T. Precipitation predictors for downscaling: Observed and general circulation model relationships. International Journal of Climatology 2000, 20(6):641-661.
58. Wilks D.S., Wilby R.L. The weather generation game: A review of stochastic weather models. Progress in Physical Geography 1999, 23(3):329-357. 10.1177/030913339902300302.
59. Willems P., Vrac M. Statistical precipitation downscaling for small-scale hydrological impact investigations of climate change. Journal of Hydrology 2011, 402(3-4):193-205. 10.1016/j.jhydrol.2011.02.030.
60. Zwietering M.H., de Koos J.T., Hasenack B.E., de Witt J.C., van't Riet K. Modeling of bacterial growth as a function of temperature. Applied and Environmental Microbiology 1991, 57(4):1094-1101.