Utilizing the daily temperature and precipitation data of 175 meteorological stations in Beijing-Tianjin-Hebei region from 1961 to 2020,the spatiotemporal variations of extreme temperature and precipitation events were analyzed using 9 typical extreme indices and methods of linear trend and Sen's mutation.An impact evaluation in-dex system was constructed based on these extreme indices to quantify the local extreme climate impacts for the period of 2003-2019.The results indicate that the Beijing-Tianjin-Hebei region experienced a significant increase in extreme warm events and a significant decrease in extreme cold events from 1961 to 2020.Since the late 1990s,the warming rate has accelerated,with the decrease in cold events occurring earlier than the increase in warm events.Compared to Tianjin and Hebei,Beijing shows greater increase in extreme high temperatures and the warm event frequency,as well as smaller increase in extreme low temperatures and decrease in cold events.It implies the status of increasingly stronger warm events and less weak cold events in Beijing.The extreme precipitation indices in Bei-jing-Tianjin-Hebei region show a slight decreasing trend with notable decadal variability.Beijing and Hebei have experienced an increase in the precipitation maxima,suggesting an enhancement in extremely strong precipitation e-vents in these areas.The year of 2020 shows slightly higher-than-normal values on the annual maximum tempera-ture(TXx),warm days(TX90p),and warm spell duration index(WSDI),while lower-than-normal values for the annual minimum temperature(TNn),cold nights(TN10p),cold spell duration index(CSDI),and precipitati-on indices.Several stations in Tianjin have recorded the lowest CSDI and precipitation indices since 1961.It indi-cates that the extreme temperatures in 2020 are close to normal,while extreme precipitation in Tianjin is at a mini-mum state.Besides,the overall impacts of extreme events have increased since 2003.Although Beijing experiences lower climate disaster damage intensity compared to Hebei,it shows higher intensity of extreme weather events.
Temperature extremesPrecipitation extremesImpact assessment
国家科技期刊平台
NSTL
万方数据
