Spatial and temporal trend analysis of temperature extremes based on Iranian climatic database (1962–2004)

Darand, Mohammad; Masoodian, Abolfazl; Hamid, Nazaripour; Daneshvar, Mohammad Reza Mansouri

doi:10.1007/s12517-015-1840-5

Cited by 49 publications

(16 citation statements)

References 24 publications

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“…The change of TN90p is more pronounced than that of TX90p, a finding which is in accordance with previous studies [79,94]. The temporal variation of TXx for the five subregions (Figure 10(d)) shows an increasing trend for all subregions, especially SR-V (with a slope of 0.24 ∘ C/decade).…”

Section: Warm-related Indicessupporting

confidence: 91%

“…Changes observed for TN10p are more significant than those of TX10p across the BTSSR (Figures 7(a) and 7(b), Table 2); a reduction in TN10p will result in a reduction in frost damage during the night [92,93]. The results of our study were in accordance with those over the arid region of northwestern China [79] and in Iran [94]. Results for the different stages showed that, during S 1 , the frequency and duration of extreme low temperature recorded a slightly negative trend, except for TX10p.…”

Section: Cold-related Indicessupporting

confidence: 86%

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Temporal Trends and Spatial Patterns of Temperature and Its Extremes over the Beijing-Tianjin Sand Source Region (1960–2014), China

Wei

Wang

Zhang

et al. 2018

Advances in Meteorology

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In order to examine temperature changes and extremes in the Beijing-Tianjin Sand Source Region (BTSSR), ten extreme temperature indices were selected, categorized, and calculated spanning the period 1960-2014, and the spatiotemporal variability and trends of temperature and extremes on multitimescales in the BTSSR were investigated using the Mann-Kendall (M-K) test, Sen's slope estimator, and linear regression. Results show that mean temperatures have increased and extreme temperature events have become more frequent. Annual temperature has recorded a significant increasing trend over the BTSSR, in which 51 stations exhibited significant increasing trends ( < 0.05); winter temperature recorded the most significant increasing trend in the northwest subregion. All extreme temperature indices showed warming trends at most stations; a higher warming slope in extreme temperature mainly occurred along the northeast border and northwest border and in the central-southern mountain area. As extreme low temperature events decrease, vegetation damage due to freezing temperatures will reduce and low cold-tolerant plants may expand their distribution range northward to revegetate barren areas in the BTSSR. However, in water-limited areas of the BTSSR, increasing temperatures in the growing season may exacerbate stress associated with plants relying on precipitation due to higher temperatures combining with decreasing precipitation.

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Section: Warm-related Indicessupporting

confidence: 91%

Section: Cold-related Indicessupporting

confidence: 86%

Temporal Trends and Spatial Patterns of Temperature and Its Extremes over the Beijing-Tianjin Sand Source Region (1960–2014), China

Wei

Wang

Zhang

et al. 2018

Advances in Meteorology

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“…It is worth noting that a significant increase in temperature and in hot extreme temperature events has been observed over the Middle East which neighbours the study region from the south (Almazroui et al 2012;Almazroui et al 2013;Darand et al 2015). The observed annual maximum, mean and minimum temperatures have increased significantly at a rate of 0.71, 0.60 and 0.48°C decade −1 , respectively, in Saudi Arabia over the period 1978-2002.…”

Section: Introductionmentioning

confidence: 82%

An assessment of observed and projected temperature changes in Armenia

et al. 2015

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Future changes in annual and seasonal temperature over Armenia based on the Community Climate System Model 4 (CCSM4) output data from newly developed dataset of phase 5 of the Coupled Model Intercomparison Project (CMIP5) have been analysed. The results of this study suggest that Armenia will experience significant temperature increase in the twenty-first century. Moreover, the greatest warming is expected in the summertime and can reach 4-6°C under representative concentration pathways (RCP)8.5 for the middle and end of the century. However, observations show significant variability and seasonal amplitude in temperature regime which is peculiar to mountain regions located in mid-latitudes. It was shown that strong cold wave events can be directly followed by prolonged hot days within one year in Armenia. The CCSM4 model has substantial deficiencies in simulating the regional climate over Armenia. Validation results indicate the largest errors (root-mean-square error (RMSE)) in the representation of winter temperatures. There is also significant uncertainty in projected temperature change patterns in Armenia over the twenty-first century. However, the CCSM4 model becomes more confident in the prediction of temperature increase over Armenia toward the end of the century.

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“…Ordinary kriging methods were applied to ascertain the spatial distribution of the daily precipitation data, as recommended by Garen and Marks (), Mair and Fares (), and Darand et al . (), particularly for regions with complex terrain such as mountains, plateaus, etc. This dataset has already been used for analysis of Iran's precipitation characteristics (for example, in Nasrabadi et al .…”

Section: Methodsmentioning

confidence: 97%

The relationships between precipitation amounts, number of rain days, and relative vorticity in the mid‐troposphere over Iran

Darand

Mirzaei

2018

Weather

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Precipitation is one of the most studied atmospheric parameters, and its occurrence has a direct relationship with the atmospheric circulation pattern. This study investigates the relationship between relative vorticity in the mid‐troposphere (at 500 hPa), and precipitation amounts and the number of rain days over the period 1979–2013 in Iran. Relative vorticity was calculated using the u and v components of the wind data from the European Centre for Medium‐Range Weather Forecasts (ECMWF) interim reanalysis (ERA‐Interim) over Iran, with 0.125° spatial resolution. Gridded daily precipitation data from the Asfazari National Dataset with a spatial resolution of 15 × 15 km, covering the same period, were also used. Pearson's correlation coefficient was used to investigate, at the 90% confidence level, the relationship between relative vorticity, and monthly precipitation amount and number of rain days. The significance of the trend for relative vorticity for different months, at the 90% confidence level, was evaluated using the nonparametric modified Mann–Kendall test. The results showed a significant relationship between relative vorticity and the number of rain days and precipitation amounts over Iran. In temporal terms, the correlations between relative vorticity and the number of rain days and precipitation amounts are strongest during the months of high precipitation over Iran, especially in November and December. In spatial terms, eastern Iran exhibits the strongest relationship between precipitation and relative vorticity at the 500 hPa level. Examination of the time series data showed that the monthly precipitation amounts and numbers of rain days fluctuate in line with changes in relative vorticity during the period of study. Analysis of trends in the relative vorticity data also showed, at the 90% confidence level, that the maximum variations in relative vorticity occurred in autumn and winter, respectively. Trend analysis also showed a decreasing trend in relative vorticity in March and an increasing trend in November.

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Spatial and temporal trend analysis of temperature extremes based on Iranian climatic database (1962–2004)

Cited by 49 publications

References 24 publications

Temporal Trends and Spatial Patterns of Temperature and Its Extremes over the Beijing-Tianjin Sand Source Region (1960–2014), China

Temporal Trends and Spatial Patterns of Temperature and Its Extremes over the Beijing-Tianjin Sand Source Region (1960–2014), China

An assessment of observed and projected temperature changes in Armenia

The relationships between precipitation amounts, number of rain days, and relative vorticity in the mid‐troposphere over Iran

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