Interannual rainfall variability in China affects agriculture, infrastructure and water resource management. To improve its understanding and prediction, many studies have associated precipitation variability with particular causes for specific seasons and regions. Here, a consistent and objective method, Empirical Orthogonal Teleconnection (EOT) analysis, is applied to 1951-2007 high-resolution precipitation observations over China in all seasons. Instead of maximizing the explained space-time variance, the method identifies regions in China that best explain the temporal variability in domain-averaged rainfall. The EOT method is validated by the reproduction of known relationships to the El Nio Southern Oscillation (ENSO): high positive c...
Extreme precipitation can have catastrophic effects in China by triggering floods, landslides, and o...
The analysis of two historical time series of temperature and precipitation in Northeast China, span...
Six climate simulations of the Met Office Unified Model Global Atmosphere 6.0 and Global Coupled 2....
The causes of subseasonal precipitation variability in China are investigated using observations and...
Interannual rainfall variability in China affects agriculture, infrastructure and water resource man...
Interannual rainfall variability in China affects agriculture, infrastructure and water resource man...
Interannual rainfall variability in China affects agriculture, infrastructure and water resource man...
Six climate simulations of the Met Office Unified Model Global Atmosphere 6.0 and Global Coupled 2.0...
Extreme precipitation can have catastrophic effects in China by triggering floods, landslides, and o...
The causes of subseasonal precipitation variability in China are investigated using observations and...
Extreme precipitation can have catastrophic effects in China by triggering floods, landslides, and o...
During extended winter (November-April) 43% of the intraseasonal rainfall variability in China is ex...
During extended winter (November-April) 43% of the intraseasonal rainfall variability in China is ex...
During extended winter (November-April) 43% of the intraseasonal rainfall variability in China is ex...
The analysis of two historical time series of temperature and precipitation in Northeast China, spa...
Extreme precipitation can have catastrophic effects in China by triggering floods, landslides, and o...
The analysis of two historical time series of temperature and precipitation in Northeast China, span...
Six climate simulations of the Met Office Unified Model Global Atmosphere 6.0 and Global Coupled 2....
The causes of subseasonal precipitation variability in China are investigated using observations and...
Interannual rainfall variability in China affects agriculture, infrastructure and water resource man...
Interannual rainfall variability in China affects agriculture, infrastructure and water resource man...
Interannual rainfall variability in China affects agriculture, infrastructure and water resource man...
Six climate simulations of the Met Office Unified Model Global Atmosphere 6.0 and Global Coupled 2.0...
Extreme precipitation can have catastrophic effects in China by triggering floods, landslides, and o...
The causes of subseasonal precipitation variability in China are investigated using observations and...
Extreme precipitation can have catastrophic effects in China by triggering floods, landslides, and o...
During extended winter (November-April) 43% of the intraseasonal rainfall variability in China is ex...
During extended winter (November-April) 43% of the intraseasonal rainfall variability in China is ex...
During extended winter (November-April) 43% of the intraseasonal rainfall variability in China is ex...
The analysis of two historical time series of temperature and precipitation in Northeast China, spa...
Extreme precipitation can have catastrophic effects in China by triggering floods, landslides, and o...
The analysis of two historical time series of temperature and precipitation in Northeast China, span...
Six climate simulations of the Met Office Unified Model Global Atmosphere 6.0 and Global Coupled 2....