Focus on relative humidity trend in Iran and its relationship with temperature changes during 1960–2005

Noshadi, Masoud; Ahani, Hossein

doi:10.1007/s10668-014-9615-9

Cited by 7 publications

(5 citation statements)

References 68 publications

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“…However, no study was found in the literature related to the assessment of the trends in the bioclimate of Iran, and therefore, it was not possible to compare the findings of the present study. However, the trend in temperatures in Iran was assessed in a number of previous studies [47,[85][86][87][88][89][90].…”

Section: Discussionmentioning

confidence: 99%

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Spatial Pattern of the Unidirectional Trends in Thermal Bioclimatic Indicators in Iran

et al. 2019

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Changes in bioclimatic indicators can provide valuable information on how global warming induced climate change can affect humans, ecology and the environment. Trends in thermal bioclimatic indicators over the diverse climate of Iran were assessed in this study to comprehend their spatio-temporal changes in different climates. The gridded temperature data of Princeton Global Meteorological Forcing with a spatial resolution of 0.25° and temporal extent of 1948–2010 was used for this purpose. Autocorrelation and wavelets analyses were conducted to assess the presence of self-similarity and cycles in the data series. The modified version of the Mann–Kendall (MMK) test was employed to estimate unidirectional trends in 11 thermal bioclimatic indicators through removing the influence of natural cycles on trend significance. A large decrease in the number of grid points showing significant trends was noticed for the MMK in respect to the classical Mann–Kendall (MK) test which indicates that the natural variability of the climate should be taken into consideration in bioclimatic trend analyses in Iran. The unidirectional trends obtained using the MMK test revealed changes in almost all of the bioclimatic indicators in different parts of Iran, which indicates rising temperature have significantly affected the bioclimate of the country. The semi-dry region along the Persian Gulf in the south and mountainous region in the northeast were found to be more affected in terms of the changes in a number of bioclimatic indicators.

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Section: Discussionmentioning

confidence: 99%

“…Noshadi and Ahani [90] reported that a reduction in the bioclimatic environment in Iran with the rise of temperatures. There is a strong relationship between extreme temperature indices with the annual average temperature in Iran [94].…”

Section: Discussionmentioning

confidence: 99%

Spatial Pattern of the Unidirectional Trends in Thermal Bioclimatic Indicators in Iran

et al. 2019

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“…Besides eastern districts, a white patch in the southeastern coasts of the Caspian Sea (Figure 7) implies that, due to the recent enhancement in the over-sea northerly winds, RH data have also slightly improved over this region. Noshadi and Ahani (2015) have also reported a positive trend in the RH data of this area. The presented statistics in Table 3 imply that for some areas such as west of Turkey, north of Egypt, east of the Mediterranean Sea, Oman (Azerbaijan, Armenia, the Caspian Sea, the central parts of Turkmenistan, most of Iran, Afghanistan, Saudi Arabia and Sudan).…”

Section: -Decadal Analysismentioning

confidence: 58%

“…Relative humidity is in strong connection with hydrological cycle (precipitation, aggregation and evaporation), surface energy balance and climate change (Choy et al, 2015;Ross and Elliott, 1996). A negative trend was detected in the time series of relative humidity in various parts of Iran and particularly in the central and eastern regions (Noshadi and Ahani, 2015). According to their report, air temperature and relative humidity were negatively correlated over most of these regions.…”

Section: Introductionmentioning

confidence: 93%

Assessing Climate Change in the Middle East from the Perspective changes in Air Temperature, Relative Humidity and Vector Wind: Land, Sea and atmosphere Interactions

Nazemosadat

Heidari

Mehravar

2022

Preprint

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By utilizing summertime (June-September) gridded data of air temperature (AT), relative humidity (RH) and vector wind (VW), climate change was investigated over the whole of the Middle East (ME) and its ten sub-regions for the period of 1961-2020. Although changes were detected according to each individual variable, their interrelationships are discussed to justify the physical causes of the changes. For assessing the dynamic of climate change, stability in the changes was analyzed when significant results are compared between three choices comprising A) 1961 1990 and 1991-2020, B) 1961-1970 and 2011-2020 and C) 1961-1965 and 2016-2020. We proved that AT (westerly wind and RH) has (have) been predominantly increasing (decreasing) over the study area. The greatest (smallest) frequency of significant results was associated with choice C (A) suggesting changes are on the rise. After proving that the Mediterranean Sea-based northwesterly winds are the main climate controller of the ME, a large part of the observed warming and dryness is attributed to the recent weakness in these circulations. The worrying changes were associated with some populous areas including upstream of the Nile River in Eritrea and Sudan and Euphrates and Tigers Rivers in Turkey, Caucasus regions, north of Egypt, north of Iran, Turkmenistan, Saudi-Arabia and Afghanistan. In contrast to the Mediterranean region, recent enhancements in the southerly (northerly) circulations over the Indian Ocean's northwest (Caspian Sea) have been partially compensated negative impacts of warming and dryness over some areas in Iran, Pakistan and the Arabian Peninsula (south of the Sea).

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“…Several studies proved that teleconnection indices affect hydrological variables such as rainfall (Lee et al, 2018;Ahmadi et al, 2019), drought and dry periods (Ghaedamini et al, 2014;Mohammadrezaei et al, 2020), and climatic variables such as solar radiation, wind speed, and precipitation (Mohammadi and Goudarzi, 2018). On the other hand, climate variables (such as relative humidity) were shown to be positively or negatively affected in current and future periods (Hosseinzadeh Talaee et al, 2012;Willett et al, 2014;Noshadi and Ahani, 2015;Byrne and O'Gorman, 2018;Vicente-Serrano et al, 2018). Most of the research focused only on quantifying and mapping the risk of wood decay whereas its relation with climatic factor changes and teleconnection indices (as the most important factors affecting wood decay) is still not fully understood.…”

Section: Introductionmentioning

confidence: 99%

Decadal Variations of Wood Decay Hazard and El Niño Southern Oscillation Phases in Iran

Helali

Momenzadeh

Saeidi³

et al. 2021

Front. For. Glob. Change

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The intensive use of wood resources is a challenging subject around the world due to urbanization, population growth, and the biodegradability of wooden materials. The study of the climatic conditions and their effects on biotic wood degradation can provide a track of trends of wood decay and decomposition at regional and global scales to predict the upcoming responses. Thus, it yields an overview for decision-makers and managers to create a precise guideline for the protection of wooden structures and prolonged service life of wooden products. This study aimed at investigating the decay hazard in Iran, its decadal changes, and how it is affected by different phases of the El Niño Southern Oscillation (ENSO). Therefore, the risk for fungal decay of wood was estimated based on the Scheffer Climate Index (SCI) at 100 meteorological stations located in Iran, for the period 1987–2019 (separately for first, second, and third decade as decadal analysis). Subsequently, SCI value trends were analyzed using the Mann–Kendall and Sen’s slope method. Finally, the relationship between SCI and climatic parameters (temperature and precipitation) was explored. Generally, the SCI fluctuated between 2 and 75 across the region. The decay risk was ranked as low in most parts, but moderate in the northern part of the country along the Caspian Sea coastlines. Decadal analysis demonstrated that the highest mean SCI values took more place in the third decade (58% of stations) and the lowest mean SCI values in the second decade (71% of stations). Furthermore, the highest and the lowest SCI values occurred at 70 and 66% of stations in El Niño and Neutral phase, respectively. Trend analysis of SCI values showed that large parts of several provinces (i.e., Markazi, Tehran, Alborz, Qazvin, Zanjan, Ardebil, East Azarbayjan, West Azarbayjan, Kurdestan, Kermanshah, and Ilam) exhibited a significantly increasing decay hazard with a mean SCI of 2.9 during the period of 33 years. An analysis of causative factors (climatic parameters) for these changes revealed that all the meteorological stations experienced a significant increase in temperature while the number of days with more than 0.25 mm precipitation increased at some stations but decreased at others. However, in summary, the SCI increased over time. Hence, in this study, the effect of precipitation on SCI was confirmed to be greater than the temperature. Analysis of the results shows that the correlation between the SCI and ENSO was positive in most of the stations. Moreover, the results of spectral coherent analysis of SCI and ENSO in different climates of Iran showed that the maximum values of SCI do not correspond to the maximum values of ENSO and are associated with lag time. Therefore, the extreme values of the SCI values cannot be interpreted solely on the basis of the ENSO.

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Focus on relative humidity trend in Iran and its relationship with temperature changes during 1960–2005

Cited by 7 publications

References 68 publications

Spatial Pattern of the Unidirectional Trends in Thermal Bioclimatic Indicators in Iran

Spatial Pattern of the Unidirectional Trends in Thermal Bioclimatic Indicators in Iran

Assessing Climate Change in the Middle East from the Perspective changes in Air Temperature, Relative Humidity and Vector Wind: Land, Sea and atmosphere Interactions

Decadal Variations of Wood Decay Hazard and El Niño Southern Oscillation Phases in Iran

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