University of Isfahan Journal of Applied Climatology 2476- 4264 2 1 2015 03 21 Assessment of wind energy potential and feasibility of its use in the Synoptic stations of Fars province Assessment of wind energy potential and feasibility of its use in the Synoptic stations of Fars province 1 16 20472 FA Bromand Salahi , University of Mohaghegh Ardabili Mahmud Behruzi University of Malayer Mohammad Ebrahimi University of Malayer Hassan Jemes University of Malayer Journal Article 2016 11 13 Wind is a clean and renewable energy sources and in the last decade, the use of wind energy in the world, has been welcomed by many. The purpose of this study is to evaluate the potential of wind power stations of Fars province, including Shiraz, Abadeh and Larestan in the period 1990-2005. In this study, to draw the annual wind rose of stations, the Wrplot software was used. Wind discrete data were replaced using the Weibull distribution function. The annual wind power density and other parameters of wind energy at high levels of 10, 20 and 50 meters calculated respectively. To estimate the wind speed at a height of 10 meters, the one-seventh power law model was used. Results showed that the Synoptic Station of Shiraz with wind power density of 584.33 and 1164.27 watts per square meter in 10 and 50 meters in height and placement on the seventh floor of the US Atlantic wind energy, has great potential for wind energy and can be a good place to invest and further study on the use of wind turbines and wind set-up of wind energy. In Abadeh and Larestan stations, due to limitations in the availability of wind hours in wind energy and other parameters, investment in this area, it is not affordable. Wind is a clean and renewable energy sources and in the last decade, the use of wind energy in the world, has been welcomed by many. The purpose of this study is to evaluate the potential of wind power stations of Fars province, including Shiraz, Abadeh and Larestan in the period 1990-2005. In this study, to draw the annual wind rose of stations, the Wrplot software was used. Wind discrete data were replaced using the Weibull distribution function. The annual wind power density and other parameters of wind energy at high levels of 10, 20 and 50 meters calculated respectively. To estimate the wind speed at a height of 10 meters, the one-seventh power law model was used. Results showed that the Synoptic Station of Shiraz with wind power density of 584.33 and 1164.27 watts per square meter in 10 and 50 meters in height and placement on the seventh floor of the US Atlantic wind energy, has great potential for wind energy and can be a good place to invest and further study on the use of wind turbines and wind set-up of wind energy. In Abadeh and Larestan stations, due to limitations in the availability of wind hours in wind energy and other parameters, investment in this area, it is not affordable. https://jac.ui.ac.ir/article_20472_0d15cff92e697573448d4ddb5da85438.pdf

University of Isfahan Journal of Applied Climatology 2476- 4264 2 1 2015 03 21 Study of distribution temporal – spatial the probable maximum precipitation (PMP) in Fars Province Study of distribution temporal – spatial the probable maximum precipitation (PMP) in Fars Province 17 36 20473 FA Mahdi Narangifard Yazd University Kamal Omidvar Yazd University Journal Article 2016 11 13 This study examines the rainfall estimates and precipitation maximum distribution in Fars province through statistical methods and techniques of remote sensing. The main purpose of research is to determine the maximum susceptibility values PMP approach by the use of satellite data and the spatial distribution of these values. To achieve this aim, maximum amount of zoning PMP inverse distance weighting interpolation was conducted. The monthly precipitation data from TRMM satellite extracted from the 15-year period (1998-2012) with a spatial resolution of 0/25 × 0/25 degree consists of 183 points were obtained then the distribution, i.e., the point of the probable maximum precipitation seasons was drawn. The results showed that there was an increasing trend of South and East to West and Central regions of the province, except in the summer. Townships like Rustam, Mamasani and Sepidan had the most probable maximum precipitation (590-770 mm) in winter and cities like Larestan, Zarin Dasht, Darab and Abadeh had the least probable maximum precipitation in summer (4 mm). Also the highest daily rainfall amount and intensity observed in the study area on 20 February 1999 in the range of 110-130 mm rainfall occurred. This study examines the rainfall estimates and precipitation maximum distribution in Fars province through statistical methods and techniques of remote sensing. The main purpose of research is to determine the maximum susceptibility values PMP approach by the use of satellite data and the spatial distribution of these values. To achieve this aim, maximum amount of zoning PMP inverse distance weighting interpolation was conducted. The monthly precipitation data from TRMM satellite extracted from the 15-year period (1998-2012) with a spatial resolution of 0/25 × 0/25 degree consists of 183 points were obtained then the distribution, i.e., the point of the probable maximum precipitation seasons was drawn. The results showed that there was an increasing trend of South and East to West and Central regions of the province, except in the summer. Townships like Rustam, Mamasani and Sepidan had the most probable maximum precipitation (590-770 mm) in winter and cities like Larestan, Zarin Dasht, Darab and Abadeh had the least probable maximum precipitation in summer (4 mm). Also the highest daily rainfall amount and intensity observed in the study area on 20 February 1999 in the range of 110-130 mm rainfall occurred. https://jac.ui.ac.ir/article_20473_42d8ecec25f3d2f8f49bf505cf27c728.pdf

University of Isfahan Journal of Applied Climatology 2476- 4264 2 1 2015 03 21 The Effect of Climate on Almond Tree (Prunus amygdalus) Phonology in Najafabad city The Effect of Climate on Almond Tree (Prunus amygdalus) Phonology in Najafabad city 37 52 20474 FA Zahra Mirabbasi Najafabai Saeid Movahedi Ali Baratian Journal Article 2016 11 13 In this study, we evaluated the effect of climate factors especially temperature and rain on lmond tree phonology during 1995-2014. Required data in this study include daily information of some recorded climatology parameters in studied sites and recorded data from different stages of almond phonology in climatology center of Najafabad. In this study, GIS software and AHP model were used to make width maps and to weigh to measured criterions, respectively. Results of this study indicated that phonology phases of almond started more rapidly because of having warmer winter and the mean higher daily temperature in south and east south and some limited regions of east of Najafabad city including Najafabad and its neighbor region. Therefore, there is the possibility of latest spring glaciation in this region. The phonology phases started later due to colder air in the center part of Najafabad city like Alavijeh city and especially Dehagh city. Also, Najafabad is faced with limitations of growth season and also latest spring glaciations in active temperature in limited regions of north, west north and east north of this city. Results showed that west north in this city is exposed to fatal glaciations. Results of this study showed that 57719.86 hectar from 69542 hectar area of this region is proper conditions to plant this almond type. In this study, we evaluated the effect of climate factors especially temperature and rain on lmond tree phonology during 1995-2014. Required data in this study include daily information of some recorded climatology parameters in studied sites and recorded data from different stages of almond phonology in climatology center of Najafabad. In this study, GIS software and AHP model were used to make width maps and to weigh to measured criterions, respectively. Results of this study indicated that phonology phases of almond started more rapidly because of having warmer winter and the mean higher daily temperature in south and east south and some limited regions of east of Najafabad city including Najafabad and its neighbor region. Therefore, there is the possibility of latest spring glaciation in this region. The phonology phases started later due to colder air in the center part of Najafabad city like Alavijeh city and especially Dehagh city. Also, Najafabad is faced with limitations of growth season and also latest spring glaciations in active temperature in limited regions of north, west north and east north of this city. Results showed that west north in this city is exposed to fatal glaciations. Results of this study showed that 57719.86 hectar from 69542 hectar area of this region is proper conditions to plant this almond type. https://jac.ui.ac.ir/article_20474_34a31c11b8f69c3f6a370ee554e64406.pdf

University of Isfahan Journal of Applied Climatology 2476- 4264 2 1 2015 03 21 An Assessment of spatial autocorrelation of seasonal rainfall using APHRODITE database output An Assessment of spatial autocorrelation of seasonal rainfall using APHRODITE database output 53 74 20475 FA Journal Article 2016 11 13 Among the climatic parameters, Rainfall reveal multiple and complex behavior for this reason, researchers have been special attention to that. For years, environmental sciences researchers have focused from classical statistics to spatial statistics. For this reason, climatologists should also become familiar with the basics of this science and put analytical functions as the foundation of their studies. In this study, using modern techniques such as Spatial Auto-correlation, Global Moran's Index, Local Moran's I index, and Hotspots, behavior of seasonal rainfall is presented in the form of several statistics. Statistical analysis showed that the highest coefficient of variation of rainfall (267.5) is related to summer season that is approved by the peaking factor and Getis-OrdGi. Based on the dispersion index, the highest spatial anomaly is related to the summer and autumn seasons. According to the cluster and outlier analysis, the largest cluster of Iranian's rainfall is created in winter that represents the relative order of rainfall in Iran. Spatial statistical results also showed that the intra-year variation of rainfall in Iran follows from high cluster pattern. According to the Local Moran's I index, and Hotspots analysis, rainfall on the shore of the Caspian Sea and the West and South West of Iran (mainly Zagros mountains) has a positive spatial auto-correlation (clusters of rainfall with high value) and In parts of central and southern parts of Iran and East Central regions has the negative spatial auto-correlation (clusters of precipitation with low value). Among the climatic parameters, Rainfall reveal multiple and complex behavior for this reason, researchers have been special attention to that. For years, environmental sciences researchers have focused from classical statistics to spatial statistics. For this reason, climatologists should also become familiar with the basics of this science and put analytical functions as the foundation of their studies. In this study, using modern techniques such as Spatial Auto-correlation, Global Moran's Index, Local Moran's I index, and Hotspots, behavior of seasonal rainfall is presented in the form of several statistics. Statistical analysis showed that the highest coefficient of variation of rainfall (267.5) is related to summer season that is approved by the peaking factor and Getis-OrdGi. Based on the dispersion index, the highest spatial anomaly is related to the summer and autumn seasons. According to the cluster and outlier analysis, the largest cluster of Iranian's rainfall is created in winter that represents the relative order of rainfall in Iran. Spatial statistical results also showed that the intra-year variation of rainfall in Iran follows from high cluster pattern. According to the Local Moran's I index, and Hotspots analysis, rainfall on the shore of the Caspian Sea and the West and South West of Iran (mainly Zagros mountains) has a positive spatial auto-correlation (clusters of rainfall with high value) and In parts of central and southern parts of Iran and East Central regions has the negative spatial auto-correlation (clusters of precipitation with low value). https://jac.ui.ac.ir/article_20475_1a0a6e245b78320a45cd121b941596d4.pdf

University of Isfahan Journal of Applied Climatology 2476- 4264 2 1 2015 03 21 Climate comfort investigation by weather severity index(Case study Northwest of Iran) Climate comfort investigation by weather severity index(Case study Northwest of Iran) 91 104 20476 FA Maryam Khoshnafs payamnoor university Mahdi Sedaghat payamnoor university Journal Article 2016 11 13 In this study, Weather Severity Index, to evaluate thermal comfort conditions in northwest of Iran (province of West Azerbaijan, East Azerbaijan, Ardabil, Zanjan and Kurdistan) during the cold period of year were used. For this purpose, the average daily temperature data over a 10-year period in 22 synoptic stations with more complete statistical period were used. Months the average temperature less than 18 ° C , as were the cold months . According to this criterion , 7 months ( three months in the fall , winter and early spring quarter ) in the area known as the cold months . Using the results of Weather Severity Index, comfort zoning maps were prepared for the North West region. The results showed that general area for much of the year with the cold face. It also became clear that Weather severity, with height has a direct relationship because the cold temperature will be higher altitude. Way that places like Bijar and Zarina Obato climate almost all year comfort far. The result of this study shows that 13 % of the total area under cold air away from difficult circumstances or in other words the state is moderation. While 87 per cent of the difficult conditions prevailing in the cold months is a bit hard to very hard level is observed. In this study, Weather Severity Index, to evaluate thermal comfort conditions in northwest of Iran (province of West Azerbaijan, East Azerbaijan, Ardabil, Zanjan and Kurdistan) during the cold period of year were used. For this purpose, the average daily temperature data over a 10-year period in 22 synoptic stations with more complete statistical period were used. Months the average temperature less than 18 ° C , as were the cold months . According to this criterion , 7 months ( three months in the fall , winter and early spring quarter ) in the area known as the cold months . Using the results of Weather Severity Index, comfort zoning maps were prepared for the North West region. The results showed that general area for much of the year with the cold face. It also became clear that Weather severity, with height has a direct relationship because the cold temperature will be higher altitude. Way that places like Bijar and Zarina Obato climate almost all year comfort far. The result of this study shows that 13 % of the total area under cold air away from difficult circumstances or in other words the state is moderation. While 87 per cent of the difficult conditions prevailing in the cold months is a bit hard to very hard level is observed. https://jac.ui.ac.ir/article_20476_f64de3613ccc3b369f59894ce6e47c99.pdf

University of Isfahan Journal of Applied Climatology 2476- 4264 2 1 2015 03 21 Analysis of trends monthly and annual climate parameter of Sabzevar Analysis of trends monthly and annual climate parameter of Sabzevar 105 118 20477 FA Esmail Nasrabadi Journal Article 2016 11 13 In this study, statistical trend analysis of climate parameter of total precipitation, number of rain days, mean relative humidity, mean temperature, mean minimum and maximum temperatures in both monthly and annual scale was in Sabzevar. For this purpose, the Mann- Kendall test for detection how trend and sen’s estimator of slope for magnitude or slope of trend in time series for 1961 until 2011 were used. In the time series, the time series of total precipitation in April, May, June, October and January shows a negative trend for precipitation, although not statistically significant, but the dry climate of the region, the occurrence of a negative trend in the peak months increased crop water requirement and the increase temperature parameter is important. Based on test statistics Mann - Kendal and graphical Mann - Kendall in the time series of temperature, mean minimum temperature of the increasing trend towards longer time series of temperature is evident. Results of this study, with the findings of some research about some parts of Iran that Rising temperatures and reduced rainfall have confirmed the almost consistent. Other notable points, the significant increase in the average minimum temperature is. The annual average temperature scale, the average minimum and average maximum temperature the increase in Confidence interval 99/99 percent respectively. Mann- Kendall graphic chart is drawn for the annual time series a weak negative trend in total annual precipitation and mean relative humidity especially in recent decade’s shows in Sabzevar. Keywords: Trend, Mann-Kendall, Method Sen’s Estimator of Slope, climate parameter, Sabzevar. In this study, statistical trend analysis of climate parameter of total precipitation, number of rain days, mean relative humidity, mean temperature, mean minimum and maximum temperatures in both monthly and annual scale was in Sabzevar. For this purpose, the Mann- Kendall test for detection how trend and sen’s estimator of slope for magnitude or slope of trend in time series for 1961 until 2011 were used. In the time series, the time series of total precipitation in April, May, June, October and January shows a negative trend for precipitation, although not statistically significant, but the dry climate of the region, the occurrence of a negative trend in the peak months increased crop water requirement and the increase temperature parameter is important. Based on test statistics Mann - Kendal and graphical Mann - Kendall in the time series of temperature, mean minimum temperature of the increasing trend towards longer time series of temperature is evident. Results of this study, with the findings of some research about some parts of Iran that Rising temperatures and reduced rainfall have confirmed the almost consistent. Other notable points, the significant increase in the average minimum temperature is. The annual average temperature scale, the average minimum and average maximum temperature the increase in Confidence interval 99/99 percent respectively. Mann- Kendall graphic chart is drawn for the annual time series a weak negative trend in total annual precipitation and mean relative humidity especially in recent decade’s shows in Sabzevar. Keywords: Trend, Mann-Kendall, Method Sen’s Estimator of Slope, climate parameter, Sabzevar. https://jac.ui.ac.ir/article_20477_73fd1476cda425522dca52c89245e8bb.pdf

University of Isfahan Journal of Applied Climatology 2476- 4264 2 1 2015 03 21 Detect role the North Atlantic Oscillation in the formation of the temperature changes in Isfahan province Detect role the North Atlantic Oscillation in the formation of the temperature changes in Isfahan province 75 90 21496 FA Razieh Fanaei M.A. ,payame noor, Iran Journal Article 2015 09 06 Teleconnection is feature the climate on a global scale. Teleconnection patterns represents a major change that occur in the pattern of atmospheric and jet streams waves and influence on the pattern of temperature, precipitation, storm track and location and intensity jet stream in the vast realms. present study has been done with aim investigate the effect of the North Atlantic Oscillation index to series temperature in Isfahan province. In this context, was used minimum temperature, maximum temperature and average temperature of 21 synoptic and climatology stations inside and outside the province and standard monthly North Atlantic Oscillation index during the period 1961-2010. The first became data studied each parameter data by programming with pixel dimensions of 5 × 5 km. Respectively the 4260 pixels in Isfahan province,. Finally, survey was conducted. relationship between the pixels of each month and the North Atlantic Oscillation index using the linear regression. The results indicate that the effect of the North Atlantic Oscillation index over the series temperature of Isfahan province in the cold months of the year was higher than other months. In March has been affected more than other months the index with an series temperature with coefficient of determination of 21.8. It is was observed significant correlations occurred between 95 and 99%. The maximum temperature in March and the average temperature in July had inverse correlation than other months and had direct correlation the other months. Teleconnection is feature the climate on a global scale. Teleconnection patterns represents a major change that occur in the pattern of atmospheric and jet streams waves and influence on the pattern of temperature, precipitation, storm track and location and intensity jet stream in the vast realms. present study has been done with aim investigate the effect of the North Atlantic Oscillation index to series temperature in Isfahan province. In this context, was used minimum temperature, maximum temperature and average temperature of 21 synoptic and climatology stations inside and outside the province and standard monthly North Atlantic Oscillation index during the period 1961-2010. The first became data studied each parameter data by programming with pixel dimensions of 5 × 5 km. Respectively the 4260 pixels in Isfahan province,. Finally, survey was conducted. relationship between the pixels of each month and the North Atlantic Oscillation index using the linear regression. The results indicate that the effect of the North Atlantic Oscillation index over the series temperature of Isfahan province in the cold months of the year was higher than other months. In March has been affected more than other months the index with an series temperature with coefficient of determination of 21.8. It is was observed significant correlations occurred between 95 and 99%. The maximum temperature in March and the average temperature in July had inverse correlation than other months and had direct correlation the other months. https://jac.ui.ac.ir/article_21496_d0d0c6ec4b1a191bf6e5b850d52f0a13.pdf