TY - JOUR
T1 - Long-term trends in daily temperature extremes in Iraq
AU - Salman, Saleem A.
AU - Shahid, Shamsuddin
AU - Ismail, Tarmizi
AU - Chung, Eun Sung
AU - Al-Abadi, Alaa M.
N1 - Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - The existence of long-term persistence (LTP) in hydro-climatic time series can lead to considerable change in significance of trends. Therefore, past findings of climatic trend studies that did not consider LTP became a disputable issue. A study has been conducted to assess the trends in temperature and temperature extremes in Iraq in recent years (1965–2015) using both ordinary Mann-Kendal (MK) test; and the modified Mann-Kendall (m-MK) test, which can differentiate the multi-decadal oscillatory variations from secular trends. Trends in annual and seasonal minimum and maximum temperatures, diurnal temperature range (DTR), and 14 temperature-related extremes were assessed. MK test detected the significant increases in minimum and maximum temperature at all stations, where m-MK test detected at 86% and 80% of all stations, respectively. The temperature in Iraq is increasing 2 to 7 times faster than global temperature rise. The minimum temperature is increasing more (0.48–1.17 °C/decade) than maximum temperature (0.25–1.01 °C/decade). Temperature rise is higher in northern Iraq and in summer. The hot extremes particularly warm nights are increasing all over Iraq at a rate of 2.92–10.69 days/decade, respectively. On the other hand, numbers of cold days are decreasing at some stations at a rate of − 2.65 to − 8.40 days/decade. The use of m-MK test along with MK test confirms the significant increase in temperature and some of the temperature extremes in Iraq. This study suggests that trends in many temperature extremes in the region estimated in previous studies using MK test may be due to natural variability of climate, which empathizes the need for validation of the trends by considering LTP in time series.
AB - The existence of long-term persistence (LTP) in hydro-climatic time series can lead to considerable change in significance of trends. Therefore, past findings of climatic trend studies that did not consider LTP became a disputable issue. A study has been conducted to assess the trends in temperature and temperature extremes in Iraq in recent years (1965–2015) using both ordinary Mann-Kendal (MK) test; and the modified Mann-Kendall (m-MK) test, which can differentiate the multi-decadal oscillatory variations from secular trends. Trends in annual and seasonal minimum and maximum temperatures, diurnal temperature range (DTR), and 14 temperature-related extremes were assessed. MK test detected the significant increases in minimum and maximum temperature at all stations, where m-MK test detected at 86% and 80% of all stations, respectively. The temperature in Iraq is increasing 2 to 7 times faster than global temperature rise. The minimum temperature is increasing more (0.48–1.17 °C/decade) than maximum temperature (0.25–1.01 °C/decade). Temperature rise is higher in northern Iraq and in summer. The hot extremes particularly warm nights are increasing all over Iraq at a rate of 2.92–10.69 days/decade, respectively. On the other hand, numbers of cold days are decreasing at some stations at a rate of − 2.65 to − 8.40 days/decade. The use of m-MK test along with MK test confirms the significant increase in temperature and some of the temperature extremes in Iraq. This study suggests that trends in many temperature extremes in the region estimated in previous studies using MK test may be due to natural variability of climate, which empathizes the need for validation of the trends by considering LTP in time series.
KW - Iraq
KW - Long-term persistence
KW - Modified Man-Kendall test
KW - Temperature extremes
KW - Trend analysis
UR - http://www.scopus.com/inward/record.url?scp=85027705784&partnerID=8YFLogxK
U2 - 10.1016/j.atmosres.2017.08.011
DO - 10.1016/j.atmosres.2017.08.011
M3 - Article
AN - SCOPUS:85027705784
SN - 0169-8095
VL - 198
SP - 97
EP - 107
JO - Atmospheric Research
JF - Atmospheric Research
ER -