Investigation of meteorological extreme events over coastal regions of Iran

Marofi, Safar; Sohrabi, Mehdi; Mohammadi, Kurosh; Sabziparvar, A A; Abyaneh, Hamid Zare

doi:10.1007/s00704-010-0298-3

Cited by 23 publications

(18 citation statements)

References 28 publications

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“…Positive trends were found for summer days (SU25), warm days (TX90p), and tropical nights (TR20) over most regions of the country. Marofi et al (2010) and Sohrabi et al (2013a, b) found temperature indices that are consistent with a warming in the coastal and mountainous regions, respectively. Warm nights, hot days, and the frequency of their occurrence increased, while cold spell and cool day and night frequencies declined.…”

Section: Introductionmentioning

confidence: 87%

“…Some indices are based on fixed thresholds, while others are dependent on the location; thresholds are defined as percentiles of the time series distribution (Table 2). Procedures developed by Zhang and Yang (2004) are utilized to develop linear trends, calculated based on climate anomalies between 1975 and 2010, and have been consistently followed in similar studies (e.g., Sohrabi et al 2013a, b;Marofi et al 2010;Alexander et al 2006;Dos Santos et al 2010;Haylock et al 2006;Zhang et al 2005;Easterling et al 2003;Choi et al 2009). …”

Section: Extreme Climate Indices and Methods Of Trend Analysesmentioning

confidence: 99%

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Assessment of climate variations in temperature and precipitation extreme events over Iran

Soltani

Laux

Kunstmann

et al. 2015

Theor Appl Climatol

150

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In this study, changes in the spatial and temporal patterns of climate extreme indices were analyzed. Daily maximum and minimum air temperature, precipitation, and their association with climate change were used as the basis for tracking changes at 50 meteorological stations in Iran over the period . Sixteen indices of extreme temperature and 11 indices of extreme precipitation, which have been quality controlled and tested for homogeneity and missing data, are examined. Temperature extremes show a warming trend, with a large proportion of stations having statistically significant trends for all temperature indices. Over the last 15 years (1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010), the annual frequency of warm days and nights has increased by 12 and 14 days/decade, respectively. The number of cold days and nights has decreased by 4 and 3 days/decade, respectively. The annual mean maximum and minimum temperatures averaged across Iran both increased by 0.031 and 0.059°C/decade. The probability of cold nights has gradually decreased from more than 20 % in 1975-1986 to less than 15 % in 1999-2010, whereas the mean frequency of warm days has increased abruptly between the first 12-year period (1975)(1976)(1977)(1978)(1979)(1980)(1981)(1982)(1983)(1984)(1985)(1986)) and the recent 12-year period (1999-2010) from 18 to 40 %, respectively. There are no systematic regional trends over the study period in total precipitation or in the frequency and duration of extreme precipitation events. Statistically significant trends in extreme precipitation events are observed at less than 15 % of all weather stations, with no spatially coherent pattern of change, whereas statistically significant changes in extreme temperature events have occurred at more than 85 % of all weather stations, forming strongly coherent spatial patterns.

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Section: Introductionmentioning

confidence: 87%

Section: Extreme Climate Indices and Methods Of Trend Analysesmentioning

confidence: 99%

Assessment of climate variations in temperature and precipitation extreme events over Iran

Soltani

Laux

Kunstmann

et al. 2015

Theor Appl Climatol

150

View full text Add to dashboard Cite

show abstract

“…Kuwait has experienced similar warming trends regarding the frequency of warm nights/days and cool nights/ days; however, the intensities are less than at Doha. Detailed numerical results for the northern part of the Gulf are unavailable; however, Marofi et al (2011) showed that Bushehr, Iran, which is located approximately 400 km northwest of Doha, has experienced significant warming in recent decades. Warming can be mainly observed by the higher frequency of warm nights and days, reduction in the number of cool nights and days, and a more significant rise in the minimum temperature indices.…”

Section: Long-term Variation Of Absolute Indicesmentioning

confidence: 99%

“…Warming can be mainly observed by the higher frequency of warm nights and days, reduction in the number of cool nights and days, and a more significant rise in the minimum temperature indices. Another Iranian location, Kish Island, which is located approximately 300 km northeast of Doha, has also witnessed warming but less severe compared with Doha and Bushehr (Marofi et al 2011). The minimum temperatures have increased, and the occurrence of summer days and tropical nights has increased.…”

Section: Long-term Variation Of Absolute Indicesmentioning

confidence: 99%

“…The projected significant increase in the temperature is mostly attributed to increasing air pollution, the urban heat island effect, and rapid municipal expansion, which are expected to create localized hot spots within this region. Most of these studies have focused on individual countries within the Middle East; e.g., Saudi Arabia , Iran (Rahimzadeh et al 2009;Marofi et al 2011), and Kuwait (Nasrallah et al 2004). Nevertheless, there remains a lack of reliable, high-quality data for the analysis of climatic change in many parts of the world (Coumou and Rahmstorf 2012).…”

Section: Introductionmentioning

confidence: 99%

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Recent warming trend in the coastal region of Qatar

Cheng

Saleem

Sadr

2015

Theor Appl Climatol

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The objective of this study was to analyze longterm temperature-related phenomena in the eastern portion of the Middle East, focusing on the coastal region of Qatar. Extreme temperature indices were examined, which were defined by the Expert Team on Climate Change Detection and Indices, for Doha, Qatar; these indices were then compared with those from neighboring countries. The trends were calculated for a 30-year period , using hourly data obtained from the National Climatic Data Center. The results showed spatially consistent warming trends throughout the region. For Doha, 11 of the 12 indices studied showed significant warming trends. In particular, the warming trends were represented by an increase in the number of warm days and nights and a decrease in the number of cool nights and days. The high-temperature extremes during the night have risen at more than twice the rate of their corresponding daytime extremes. The intensity and frequency of hot days have increased, and the minimum temperature indices exhibited a higher rate of warming. The climatic changes in Doha are consistent with the region-wide heat-up in recent decades across the Middle East. However, the rapid economic expansion, increase of population since the 1990s, and urban effects in the region are thought to have intensified the rapidly warming climate pattern observed in Doha since the turn of the century.

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Spatial and temporal variations of regional high temperature events in China

2013

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An objective identification technique is applied to identify Regional High Temperature Events (RHTE) in China using daily maximum temperature data at 642 stations from 1961 to 2010. There are 213 RHTE identified. These events in general occur from May to September, with months from June to August being high season and the peak frequency appearing in July. Over the space, these events mainly occur in regions east of 90 • E, with higher frequencies and stronger intensities in the middle and lower valleys of the Yangtze River. Extreme and severe RHTE are more frequent in southern, central and eastern China and are less frequent in northern China. Statistics that characterize the regional events including annual frequency, annual sum of integrated index, annual sum of single indices (e.g. duration, accumulated high temperature intensity, accumulated impacted area and extreme high temperature) and annual maximum values of these single indices suggest that the RHTE are becoming more severe in both space and time and impacting more areas. A further analysis shows that the distribution patterns of the trend change of China RHTE, i.e. RHTE becoming more frequent and stronger in most China especially in northern China, but less frequent and weaker in eastern regions between the Yangtze River and the Yellow River during the past 50 years, is mainly a regional response to global warming. Meanwhile, the increasing trends in frequency and accumulated intensity of the RHTE in southern China may also be partly due to the western Pacific subtropical high westward extension and intensification in summer during the past decades. KEY WORDS regional high temperature event; objective identification technique; spatial and temporal variations; China

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Investigation of meteorological extreme events over coastal regions of Iran

Cited by 23 publications

References 28 publications

Assessment of climate variations in temperature and precipitation extreme events over Iran

Assessment of climate variations in temperature and precipitation extreme events over Iran

Recent warming trend in the coastal region of Qatar

Spatial and temporal variations of regional high temperature events in China

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