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Data gaps beyond India are holding monsoon forecasts back

Data gaps beyond India are holding monsoon forecasts back

Editor 22 Jul 6 min
Tags: GS 1

Why in the news?

The Hindu : Page 07

Syllabus : GS 1 : Geography

The 2024 monsoon has shown unexpected patterns with irregular rainfall distribution. While forecasts were based on anticipated La Niña conditions, actual rainfall has been patchy.

  •  Accurate local forecasting is crucial for agriculture and water management.Expanding weather monitoring and improving data collection across the subcontinent are recommended for better predictions.

Monsoon Evolution:

  •   The 2024 monsoon season began on May 30 as expected but has shown unexpected patterns.
  •   Rainfall distribution has been highly irregular, with some regions experiencing excess rain and others significant dryness.
  •   After a rapid northward movement of the monsoon trough, it stalled, leading to a dry June in many areas. Western Ghats have seen below-normal rainfall.

Regional Rainfall Patterns:

  •   An unusual pattern of excess rain has been observed from south to north, while areas like Uttar Pradesh, Bihar, Jharkhand, Odisha, and north-western India have experienced dry patches.
  •  This irregular distribution contrasts with predictions based on La Niña conditions, which seem to be inconsistent.

Forecasting Challenges:

  •  The analogy of monsoon systems popping like kernels in a kettle illustrates the inherent patchiness of rainfall.
  •   The ‘all-India monsoon rainfall’ index used by the India Meteorological Department (IMD) is useful for general outlooks but does not account for local variations.
  •   Accurate, hyperlocal forecasts are increasingly demanded by farmers, water managers, and energy companies due to the complex and patchy nature of rainfall.

Global and Regional Influences:

  •  The southwest monsoon is influenced by various factors, including the Arabian Sea winds, the Bay of Bengal’s convective events, and heating from West Asia and the deserts.
  •  Variability in the monsoon circulation is also affected by heating over the Himalayan foothills, Nepal, Bhutan, Myanmar, and Bangladesh.
  •   The monsoon’s complexity necessitates considering these broader influences for accurate forecasting.

Data and Forecasting Limitations:

  •   Despite IMD’s efforts to improve forecasting, the lack of real-time rainfall data and weather observations from parts of the subcontinent hampers accuracy.
  •   Global models used for forecasts often lack sufficient data for precise predictions, particularly for local scales.

Monitoring and Collaboration Needs:

  •  India has a historic rainfall monitoring network, but further investments in forecasting infrastructure are needed for improved accuracy.
  •  Better forecasting is crucial for economic growth, food, water, and energy security, as well as national security due to the impact of natural disasters.
  •  Extending weather and climate monitoring networks across the subcontinent could enhance safety and reduce vulnerability, benefiting all countries in the region.

Strategic Recommendations:

  •  Establish a broad network for weather and climate monitoring across the subcontinent.
  •  Improve data collection and forecasting capabilities to enhance local and regional forecast accuracy.
  • Collaborate more extensively with neighbouring countries to share forecasts and improve overall regional safety and resilience.

 UPSC Mains PYQ : 2017

Ques : What characteristics can be assigned to the monsoon climate that succeeds in feeding more than 50 percent of the won population residing in Monsoon Asia?

 


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