Scientists offer road map to improve environmental observations in the Indian Ocean

The group, led by Lisa Beal, professor of ocean sciences at the University of Miami (UM) Rosenstiel School of Marine and Atmospheric Science, provides a road map for an enhanced IndOOS to better meet the scientific and societal needs for more reliable environmental forecasts in the next decade. The 136 actionable recommendations from the three-year, internationally coordinated review were published in the Bulletin of the American Meteorological Society.

The scientists call for four major improvements to the current observing system:

1) more chemical and biological measurements in at-risk ecosystems and fisheries;

2) expansion into the western tropics to improve understanding of the monsoon;

3) better-resolved upper ocean processes to improve predictions of rainfall, drought, and heat waves; and

4) expansion into key coastal regions and the deep ocean to better constrain the basin-wide energy budget.

Although the smallest of the major oceans on Earth, the Indian Ocean is home to roughly one-third of the global population living among the 22 countries that border its rim. Many of these countries are developing or emerging economies vulnerable to climate changes such as sea level rise and more extreme weather events. The Indian Ocean also influences climate globally and is thought to have played a key role in regulating global mean surface temperatures.

The Indian Ocean Observing System, established in 2006, is a multinational network of sustained oceanic measurements that underpin understanding and forecasting of weather and climate for the Indian Ocean region and beyond. IndOOS is part of the Global Ocean Observing System (GOOS) which is coordinated through the World Meteorological Organization and the Intergovernmental Oceanographic Commission of the United Nations.

IndOOS-2 will require new agreements and partnerships with and among Indian Ocean rim countries, creating opportunities for them to enhance their monitoring and forecasting capacity, said the authors.