Global monthly and daily precipitation extremes are examined in relation to the El Niño–Southern Oscillation phenomenon. For each month around the annual cycle and in each 2.5 ° grid block, extremes in the Global Precipitation Climatology Project dataset are defined as the top five (wet) and bottom five (dry) mean rain rates from 1979 to 2004. Over the tropical oceans El Niño–Southern Oscillation events result in a spatial redistribution and overall increase in extremes. Restricting the analysis to land shows that El Niño is associated with an increase in frequency of dry extremes and a decrease in wet extremes resulting in no change in net extreme months. During La Niña an increase in frequency of dry extremes and no change in wet extremes...
<p><strong>Figure 2.</strong> Time series of precipitation anomalies over the tropical oceans and la...
The probability of climate extremes is strongly affected by atmospheric circulation. This study quan...
In this study, we analyze extreme daily precipitation during the pre-industrial period from 1501 BCE...
International audienceAbstract We investigate the global distribution of hourly precipitation and it...
International audienceAbstract We investigate the global distribution of hourly precipitation and it...
International audienceAbstract We investigate the global distribution of hourly precipitation and it...
International audienceThis study explores the tropical land distribution of precipitation and its ex...
Current changes in tropical precipitation from satellite data and climate models are assessed. Wet a...
International audienceThis study explores the tropical land distribution of precipitation and its ex...
International audienceThis study explores the tropical land distribution of precipitation and its ex...
Based on a daily precipitation observation dataset of 743 stations in China from 1951–2004, the Γ di...
International audienceThis study explores the tropical land distribution of precipitation and its ex...
Climatology and variations of recent mean and intense precipitation over a near-global (50 deg. S 50...
This study investigates the presence of trends in annual maximum daily precipitation time series obt...
This study investigates the presence of trends in annual maximum daily precipitation time series obt...
<p><strong>Figure 2.</strong> Time series of precipitation anomalies over the tropical oceans and la...
The probability of climate extremes is strongly affected by atmospheric circulation. This study quan...
In this study, we analyze extreme daily precipitation during the pre-industrial period from 1501 BCE...
International audienceAbstract We investigate the global distribution of hourly precipitation and it...
International audienceAbstract We investigate the global distribution of hourly precipitation and it...
International audienceAbstract We investigate the global distribution of hourly precipitation and it...
International audienceThis study explores the tropical land distribution of precipitation and its ex...
Current changes in tropical precipitation from satellite data and climate models are assessed. Wet a...
International audienceThis study explores the tropical land distribution of precipitation and its ex...
International audienceThis study explores the tropical land distribution of precipitation and its ex...
Based on a daily precipitation observation dataset of 743 stations in China from 1951–2004, the Γ di...
International audienceThis study explores the tropical land distribution of precipitation and its ex...
Climatology and variations of recent mean and intense precipitation over a near-global (50 deg. S 50...
This study investigates the presence of trends in annual maximum daily precipitation time series obt...
This study investigates the presence of trends in annual maximum daily precipitation time series obt...
<p><strong>Figure 2.</strong> Time series of precipitation anomalies over the tropical oceans and la...
The probability of climate extremes is strongly affected by atmospheric circulation. This study quan...
In this study, we analyze extreme daily precipitation during the pre-industrial period from 1501 BCE...