monsoons-cyclones-can-be-predicted-more-accurately-now-summary

Context:A team from IISC,Bengaluru and UK based University of East Anglia have recently created a blueprint for accurate prediction of monsoon, tropical cyclones and other weather related forecasts under the project BoBBLE.

The BoBBLE(The Bay of Bengal Boundary Layer Experiment):

  • It is a project funded by the Union Ministry of Earth Sciences and the Natural Environment Research Council of UK.
  • BoBBLE will deploy two ships, six ocean gliders and eight floats to collect an unprecedented range of oceanic and air-sea flux observations.
    • BoBBLE scientists will analyse these observations, along with routine datasets, to understand the evolution of conditions in the Bay and how they influence the atmosphere.
  • The researchers from a number of other institutions of repute from Kerala, Goa, Visakhapatnam and Hyderabad were part of the project. 
  • After the studies a blueprint for future weather system observational experiments was created for accurately forecasting rainfall.

Significance of the project:

  • Accurate weather forecasts:
    • The Indian monsoon (June-September) provides 80% of the annual rainfall for over one billion people, many of whom depend on monsoon rains for subsistence agriculture and freshwater. 
    • It is critical to forecast accurately not only the seasonal rainfall, but also rainfall variations within the summer.
  • Well-represented air-sea interactions in the BoBBLE:
    • Although air-sea interactions are important to the monsoon, weather predictions are currently made with models of only the atmosphere. 
    • There is potential to improve monsoon forecasts by including well-represented air-sea interactions in models.

Retrospective forecasts of the BoBBLE period with atmosphere-only and atmosphere-ocean coupled models will demonstrate how air-sea interactions influence monsoon rainfall predictions.

Source: http://www.newsonair.com/News?title=Monsoons,-cyclones-can-be-predicted-more-accurately-now:-study&id=387177

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