Northeastern Section - 59th Annual Meeting - 2024

Paper No. 23-8
Presentation Time: 9:00 AM-1:00 PM

INDIAN MONSOON VARIABILITY DURING THE PAST MILLENNIUM REVEALED BY CORAL SKELETAL RECORDS FROM ST. MARTIN’S ISLAND, BANGLADESH


RAMOS, Yaxenis1, ETTERBEEK, Jack1, RAMOS, Riovie D.2, DASILVA, Michael3, MORTLOCK, Richard4, GODFREY, Linda5 and GRIFFITHS, Michael L.6, (1)Environmental Science, William Patterson University, Wayne, NJ 07470, (2)Earth Observatory of Singapore, Nanyang Technological University, Nanyang, Nanyang 639798, Singapore, (3)Environmental Science, William Paterson University, 300 Pompton Raod, Wayne, NJ 07470, (4)Department of Earth and Planetary Sciences, Rutgers University, 610 Taylor Rd, Piscataway, NJ 08854, (5)Department of Earth and Planetary Sciences, Rutgers University, Piscataway, NJ 08854, (6)Environmental Science, William Paterson University, Wayne, NJ 07470

The Indian monsoon affects the lives of over a billion inhabitants living in southern Asia via the hydrological cycle. Agriculture on land and freshwater discharge into the ocean and nutrient cycling are tied with the monsoon cycles and directly impact society and the economy. Better understanding monsoon variability, its drivers and connections with marine productivity is therefore critical to assess the sensitivity of the region’s hydroclimate to future climate change. In this study, we use Porites corals from St. Martin’s Island, Bay of Bengal, to compare the relative change in temperature and strength of monsoon rains during three different climate states, the Medieval Climate Anomaly (MCA, 950-1250 CE), the Little Ice Age (LIA, 1450-1750 CE), and the modern over this region. SST, deduced from coral Sr/Ca records, show a mean change in seasonality – from 4.9°C during the LIA to 7.2°C for the modern – attributed to the influence of anthropogenic warming in recent decades. Mean changes in 𝛿18O values between time periods point to freshening towards the present. Mean 𝛿13C values reveal a ~+1‰ shift towards the present which demonstrates the Suess effect or may indicate changes in land use (i.e., farming) in more recent decades. These records have the potential to identify drivers of observed variability relevant in inferring future hydrological changes in the tropical Indian Ocean.