Based on daily maximum temperature (Tmax), minimum temperature (Tmin), and precipitation of the Yangtze River Basin (YRB) from 1961 to 2020, we employed the trend analysis method and correlation analysis method to analyze spatiotemporal variations in 10 extreme indices and their associations with atmospheric and oceanic circulations. Results indicated that maximum Tmax (TXx), maximum Tmin (TNx), and minimum Tmin (TNn) all increased significantly, at rates of 0.19 °C, 0.19 °C, and 0.37 °C per decade, respectively, whereas minimum Tmax (TXn) did not show any significant trend. The diurnal temperature range (DTR) decreased by 0.09 °C per decade as minimum temperatures increased faster than maximum temperatures. TNx and TNn increased significan...
Spatial and temporal changes in daily temperature and rainfall indices are analyzed for the source r...
Climate extremes have attracted widespread attention for their threats to the natural environment an...
Based on a high-quality dataset of 713 daily precipitation series, changes in daily precipitation ev...
Trends and variability of extreme precipitation events are important for water-related disaster prev...
The source region of the Yangtze River (SRYR) on the central Tibetan Plateau has seen one of the mos...
Extreme temperature change is one of the most urgent challenges facing our society. In recent years,...
The present study is an analysis of the observed extreme temperature and precipitation trends over Y...
Understanding dynamic changes in climate extremes is important in forecasting extreme climate events...
This study investigated the spatial and temporal variability of daily minimum, mean and maximum temp...
Monitoring extreme climate events is of great importance, mainly due to increasingly severe impacts ...
Monitoring extreme climate events is of great importance, mainly due to increasingly severe impacts ...
Regional frequency analysis and spatial-temporal patterns of precipitation extremes are investigated...
Spatial and temporal changes in daily temperature and rainfall indices are analyzed for the source r...
Variability of the climate in the headwater drainage basins of the Yangtze River and Yellow River du...
Regional frequency analysis and spatial-temporal patterns of precipitation extremes are investigated...
Spatial and temporal changes in daily temperature and rainfall indices are analyzed for the source r...
Climate extremes have attracted widespread attention for their threats to the natural environment an...
Based on a high-quality dataset of 713 daily precipitation series, changes in daily precipitation ev...
Trends and variability of extreme precipitation events are important for water-related disaster prev...
The source region of the Yangtze River (SRYR) on the central Tibetan Plateau has seen one of the mos...
Extreme temperature change is one of the most urgent challenges facing our society. In recent years,...
The present study is an analysis of the observed extreme temperature and precipitation trends over Y...
Understanding dynamic changes in climate extremes is important in forecasting extreme climate events...
This study investigated the spatial and temporal variability of daily minimum, mean and maximum temp...
Monitoring extreme climate events is of great importance, mainly due to increasingly severe impacts ...
Monitoring extreme climate events is of great importance, mainly due to increasingly severe impacts ...
Regional frequency analysis and spatial-temporal patterns of precipitation extremes are investigated...
Spatial and temporal changes in daily temperature and rainfall indices are analyzed for the source r...
Variability of the climate in the headwater drainage basins of the Yangtze River and Yellow River du...
Regional frequency analysis and spatial-temporal patterns of precipitation extremes are investigated...
Spatial and temporal changes in daily temperature and rainfall indices are analyzed for the source r...
Climate extremes have attracted widespread attention for their threats to the natural environment an...
Based on a high-quality dataset of 713 daily precipitation series, changes in daily precipitation ev...