Abstract:
Human thermal comfort is strongly dependent on climatic parameters variations. Variations of climatic parameters such as air temperature, precipitation, and wind speed under the effect of atmospheric teleconnection patterns can influence thermal conditions. Therefore, the main objective of this study is evaluating the effect of North-Caspian Sea Pattern (NCP) on Human Thermal Discomfort (HDI) in southern coasts of Caspian Sea. To do so, air temperature and dew point temperature data at 2 m, were extracted from the reanalysis of the ERA-Interim/European Center for Medium-Range Weather Forecasts (ECMWF) in monthly time scale during 1979-2018 with a spatial resolution of 0.125° × 0.125°. Then, different phases of NCP were extracted including positive, negative and neutral phases. Human thermal discomfort index was calculated during each phases. Also, influence of NCP’s intensity on thermal conditions were analyzed for positive and negative phases regarding to neutral phase and ΔHDI were computed. Results illustrated that cold stress is predominate thermal conditions during the positive phases of NCP in studied region while negative phase of NCP cause more comfortable conditions especially in eastern coasts of Caspian Sea. Also, intensity of NCP can influence the thermal conditions of the region., Human thermal comfort is strongly dependent on climatic parameters variations. Variations of climatic parameters such as air temperature, precipitation, and wind speed under the effect of atmospheric teleconnection patterns can influence thermal conditions. Therefore, the main objective of this study is evaluating the effect of North-Caspian Sea Pattern (NCP) on Human Thermal Discomfort (HDI) in southern coasts of Caspian Sea. To do so, air temperature and dew point temperature data at 2 m, were extracted from the reanalysis of the ERA-Interim/European Center for Medium-Range Weather Forecasts (ECMWF) in monthly time scale during 1979-2018 with a spatial resolution of 0.125° × 0.125°. Then, different phases of NCP were extracted including positive, negative and neutral phases. Human thermal discomfort index was calculated during each phases. Also, influence of NCP’s intensity on thermal conditions were analyzed for positive and negative phases regarding to neutral phase and ΔHDI were computed. Results illustrated that cold stress is predominate thermal conditions during the positive phases of NCP in studied region while negative phase of NCP cause more comfortable conditions especially in eastern coasts of Caspian Sea. Also, intensity of NCP can influence the thermal conditions of the region. Corresponding author
Machine summary:
Therefore, the main objective of this study is evaluating the effect of North-Caspian Sea Pattern (NCP) on Human Thermal Discomfort (HDI) in southern coasts of Caspian Sea. To do so, air temperature and dew point temperature data at 2 m, were extracted from the reanalysis of the ERA-Interim/European Center for Medium-Range Weather Forecasts (ECMWF) in monthly time scale during 1979-2018 with a spatial resolution of 0.
Results illustrated that cold stress is predominate thermal conditions during the positive phases of NCP in studied region while negative phase of NCP cause more comfortable conditions especially in eastern coasts of Caspian Sea. Also, intensity of NCP can influence the thermal conditions of the region.
Therefore, the main objective of this research is to evaluate the human thermal discomfort (HDI) during the negative and positive phases of NCP over southern coasts of Caspian Sea in Iran.
Conclusion This research investigated human discomfort in the periods of positive, negative and neutral phases of NCP in southern coasts of Caspian Sea from 1979-2018 statistical years, as well as the impact of NCP intensity on thermal comfort conditions.
The aim of this study is predicting the changes of extreme temperatures in west of Iran during 2015-2045 period under climate change conditions according to the RCP emission scenarios.
3b Average monthly maximum temperature (Observed and simulated) Changes of Extreme temperatures Diurnal temperature range (DTR) According to (Table 3) simulation of DTR index in 2015–2045 shows that in 2015–2045 in all studied stations except Shahr-e-Kord, there will be a significant decreasing trend.