Global Warming and Climate Change; Local Scale Meteorological Indicators
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Global Warming and Climate Change; Local Scale Meteorological Indicators. (2018). Revista Publicando, 5(14 (2), 560-569. https://revistapublicando.org/revista/index.php/crv/article/view/1186

Resumen

The increase in global temperatures will have profound effects on climatic phenomena and, in the first instance, they will have the highest rainfall levels throughout the world. Therefore, the purpose of this research is to predict the country's meteorological parameters in conditions of climate change and compare these parameters with the current conditions. For this purpose, the UKMO general circulation model was used for the years 2025 and 2050. By implementing the general circulation model, the monthly minimum and maximum monthly and monthly forecasts for different stations (which provide a complete coverage of the climatic points of Iran and provide a general indication of the state of the country) and the effects of climate change based on the scenario defined in the model for the parameters Climates were determined. The results of this study show that the average temperature rise in spring for 2025 and 2050 in all studied stations was 3.1 and 9.3, for the months of summer season were 8.8 and 7.7 for fall season 2 / 3 and 0.3 and for winter 0.2 and 4.2 degrees centigrade. In addition, the temperature increase will increase from north to south and from west to east. According to the results, the severity of rainfall reduction in arid and semi-arid regions of the country is more than wet areas and precipitation decrease in autumn and winter is more than spring and summer. According to the predictions, the average fall of autumn rainfall for all stations under study in the years 2025 and 2050 is 8 and 11 percent, respectively, and is relatively low for the months of the summer season. Also, the spatial pattern of precipitation variation in 2025 and 2050 is largely similar to that of temperature variation. On the other hand, the climatic conditions predicted by the general circulation model indicate a longer drought season in 2025 and 2050 at all stations under study, So that the average dry period in 2025 and 2050 will increase to 214 and 223 days, respectively.

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Referencias

Allan, R. J., 2000. ENSO and climatic variability in the last 150 years. In: Diaz, H.F. and V.Markgraf. (Eds.). El Nino and the Southern Oscillation: Multiscale Variability, Global and Regional Impacts. Cambridge University Press, Cambridge, UK. pp. 3–56.

Carson, D. J. 1999 Climate modelling: achievements and prospects. Quarterly Journal of Royal Meteorological Society. 125: 1–28.

Dinar, A., R. Mendelsohn, R. E. Evenson, J. Parikh, A. Sanghi, K. Kumar, J. McKinsey and S. Lonergan. 1998. Measuring the Impact of Climate Change on Indian Agriculture. World Bank Technical Paper 402. Washington, D.C.

Easterling, W. E., A.Weiss, C. J. Hays and L.O., Mearns. 1998. Spatial scales of climate information for simulating wheat and maize productivity: the case of the US Great Plains. Agricultural and Forest Meteorology. 90: 51-63.

Edwards, D. C. and T. B. McKee. 1997. Characteristics of 20th Century drought in the United States at multiple time scales. Climatology Report Number 97-2, Colorado State University, Fort Collins, Colorado.

Giorgi, F. and L. O. Mearns. 1991. Approaches to the simulation of regional climate change: a review. Rev. Geophys. 29: 191-216.

Hammer, G. L., and N. Nicholls. 1996. Managing for climate variability: the role of seasonal climate forecasting in improving agricultural systems. In: Proc. Second Australian Conference on Agricultural Meteorology. Bureau of Meteorology, Commonwealth of Australia, Melbourne, Australia. pp. 19–27.

Hill, H. S. J., D. B. Butler, S. W. Fuller, G. L. Hammer, , D. P. Holzworth, H. A. Love, H. Meinke, J. W. Mjelde, J. Park and W. Rosenthal. 2001. Effects of seasonal climate variability and the use of climate forecasts on wheat supply in the US, Australia and Canada. American Society of Agronomy, Special Publication ”˜Impact of El Nino and Climatic Variability on Agriculture”™. pp. 101–123.

IPCC 1996 Summary for policy makers. In: Houghton et al. d. J. T. (Eds.). Climate change 1995””the science of climate change. The Second Assessment Report of the Intergovernmental Panel on Climate Change: Contribution of WorkingGroup I . Cambridge University Press.

Intergovernmental Panel on Climate Change. 2001. Summary for Policymakers, A Report of Working Group 1 of the Intergovernmental Panel on Climate Change. pp. 2 - 17.

Karl, T. R., N. Nicholls and J. Gregory. 1997. The coming climate. Scientific American, May. pp. 78–83.

Kucaki, A, Nasiri M., 1991. Ecology of crops, plant relationships and environment, Mashhad University Press.

Lin, E. D., H. X. Zhang and J. H. Wang. 1997. Simulation of global climate change impact on China's agriculture.. China Agricultural Press, Beijing. pp. 54-87.

Moen, T.N., Kaiser, H.M., Riha, S.J., 1994. Regional yield estimation using a crop simulation model: concepts, methods and validation. Agricultural Systems 46, 79-92.

Nasiri M, Kuchaki A., 2006. Analysis of Iranian Agro-Climatic Indices in Climate Change Conditions, Iran's Crop Research, 4 (1): 169-182.

Nicholls, N. 2000. Impediments to the use of climate predictions. In: Hammer, G.L., N. Nicholls, C. Mitchell. (Eds.). Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems: The Australian Experience. Kluwer, Dordrecht, The Netherlands. pp. 309–327.

NDMC.1998b.Predicting drought.Available online at: http://enso.unl.edu/ndmc/enigma/predict.htm.

Reilly, J. 1995. Climate Change and Global Agriculture: Recent Findings and Issues. American Journal of Agricultural Economics. 77: 727–33.

Reilly, J., N. Hohmann and S. Kane. 1994. Climate Change and Agricultural Trade: Who Benefits, Who Loses? Global Environmental Change 4 (1): 24–36.

Ropelewski, C. F. and M.S Halpert. 1996. Quantifying southern oscillation: precipitation relationships. Journal of Climate. 9: 1043–1059.

Rosenzweig, C., J. T. Ritchie, J. W. Jones, G.Y. Tsuji and P. Hildebrand. 1995. Climate Change and Agriculture: Analysis of Potential International Impacts. ASA Spec. Publ. No. 59, American Society of Agronomy, Madison, WI. 382 pp.

Saunders, M. A. 1999. Earth”™s future climate. Philosophical Transactions of the Royal Society London. 357: 3459–3480.

Saunders, M. A. 1998. Global warming: the view in 1998. Beneld Greig Hazard Research Centre Report, University College London.

Wheaton, E. E. 1994. Impacts of a Variable and Changing Climate on the Canadian Prairie Provinces: A Preliminary Integration and Annotated Bibliography. SRC Publication No. E-2900-7-E-93. Saskatchewan Research Council, Saskatoon.

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