University of Sistan and Baluchestan Journal of Natural Environmental Hazards 2676-4377 4 6 2015 12 22 Anticipated Cooling Needs of Fars province With the application data EH5OM Anticipated Cooling Needs of Fars province With the application data EH5OM 57 75 2523 10.22111/jneh.2016.2523 FA Kamal Omidvar Reza Ebrahimi Mehdi Narangifard Journal Article 2015 11 10 Not only is energy self-produced greenhouse gases, but its use in heating, cooling under the impact of climate change and global warming caused by greenhouse gases is.In this study, data obtained via EH5OM model from <em>Max Planck Institute</em> for Meteorology in Hamburg, Germany, were used to simulate Fars province average daily temperature during the first period (2015-2050) under the A1B scenario of the Intergovernmental Panel on Climate Change with a resolution of 1.75 degrees longitude and latitude. Then, the regional climate model was used to downscale the average daily temperature data at a 0.27x0.27° latitude and longitude covering a 30 x 30 km area of ​​Fars province.To calculate the parameters of temperature threshold of 23.9 ° C was used for cooling. The average monthly temperature cooling at 13140 × 12 matrix calculation and maps that were drawn in the next phase relationship between the width, height and longitude to calculate cooling degree days and it was traced images. Most cooling needs in the southern part of the province in June and July 4200 and 3800, respectively cooling needs of the province an important loss in peak hours. the need for this parameter is also visible in the northern strip, especially city Abade. Most latitude to May correlation with the amount of cooling needed is 878/0 percent. The role of latitude over during the province-is cooling needs change. Not only is energy self-produced greenhouse gases, but its use in heating, cooling under the impact of climate change and global warming caused by greenhouse gases is.In this study, data obtained via EH5OM model from <em>Max Planck Institute</em> for Meteorology in Hamburg, Germany, were used to simulate Fars province average daily temperature during the first period (2015-2050) under the A1B scenario of the Intergovernmental Panel on Climate Change with a resolution of 1.75 degrees longitude and latitude. Then, the regional climate model was used to downscale the average daily temperature data at a 0.27x0.27° latitude and longitude covering a 30 x 30 km area of ​​Fars province.To calculate the parameters of temperature threshold of 23.9 ° C was used for cooling. The average monthly temperature cooling at 13140 × 12 matrix calculation and maps that were drawn in the next phase relationship between the width, height and longitude to calculate cooling degree days and it was traced images. Most cooling needs in the southern part of the province in June and July 4200 and 3800, respectively cooling needs of the province an important loss in peak hours. the need for this parameter is also visible in the northern strip, especially city Abade. Most latitude to May correlation with the amount of cooling needed is 878/0 percent. The role of latitude over during the province-is cooling needs change. https://jneh.usb.ac.ir/article_2523_0e804fe47c19dfcbcfbd835e377e2ce5.pdf