EMBARGOED—NOT FOR PUBLIC RELEASE BEFORE: Monday, March 30, 2015 3:00 PM US Eastern Daylight Time 7:00 PM Greenwich Mean Time Tuesday, March 31, 2015 4:00 AM Japanese Standard Time 6:00 AM Australian Eastern Time Rainfall, La Niña, and El Niño Long-term shifts in the nature of the El Niño-Southern Oscillation (ENSO) may explain changes in the annual number of Australian tropical cyclones over the last 2,000 years, a study suggests. Historical records of extreme rainfall extend back into the 19th century in Australia, but geological evidence of these events from prehistory is scant. To investigate extreme rainfall variability further back in time, Rhawn Denniston and colleagues analyzed flood-deposited sediment layers trapped within stalagmites and constructed a nearly annual, 2,200-year record of cave flooding in the northwest Australian tropics. Combined with regional meteorological data, which showed that extreme rainfall is derived principally from tropical cyclones and secondarily from the Australian monsoon, the stalagmite time series revealed shifts through time in the average number of storms similar to reconstructed numbers of tropical cyclones in the North Atlantic. The authors report that the patterns mirror relationships between ENSO and storm formation in modern times and agree with ENSO modes reconstructed for the last 2,000 years. The findings suggest that changes between La Niña and El Niño may have driven multicentennial shifts in north Australian extreme rainfall activity, largely through controls on tropical cyclone activity, according to the authors. Article #14-22270: “Extreme rainfall activity in the Australian tropics reflects changes in the El Niño/Southern Oscillation over the last two millennia,” by Rhawn F. Denniston et al. MEDIA CONTACT: Rhawn F. Denniston, Department of Geology, Cornell College, Mount Vernon, IA; tel: 319-350-7074; e-mail: <rdenniston@cornellcollege.edu> http://www.eurekalert.org/jrnls/pnas/14-22270.htm AFTER THIS ARTICLE PUBLISHES, it will be available at http://www.pnas.org/cgi/doi/10.1073/pnas.1422270112