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UPSC Prelims 2020 Paper-1 📅 04 Oct, 2020

With reference to Ocean Mean Temperature (OMT), which of the following statements is/are correct?
1. OMT is measured up to a depth of 26°C isotherm which is 129 meters in the south-western Indian Ocean during January-March.
2. OMT collected during January - March can be used in assessing whether the amount of rainfall in monsoon will be less or more than a certain long-term mean.
Which of the statements given above is/are correct?

A
1 only
B
2 only
C
Both 1 and 2
D
Neither 1 nor 2
Result Summary
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APEDIA

UPSC Prelims
2020 • 04 Oct, 2020 • Paper-1
With reference to Ocean Mean Temperature (OMT), which of the following statements is/are correct?
1. OMT is measured up to a depth of 26°C isotherm which is 129 meters in the south-western Indian Ocean during January-March.
2. OMT collected during January - March can be used in assessing whether the amount of rainfall in monsoon will be less or more than a certain long-term mean.
Which of the statements given above is/are correct?
Correct Answer
2 only
Depth Data Check: Ocean Mean Temperature is indeed measured up to the depth of the 26°C isotherm. However, scientific meteorological data indicates that in the......
💡 Analysis & Explanation
Depth Data Check
Ocean Mean Temperature is indeed measured up to the depth of the 26°C isotherm. However, scientific meteorological data indicates that in the southwestern Indian Ocean during January-March, this depth rests much shallower, typically around 59 meters, not a highly exaggerated 129 meters. Statement 1 is factually false.
Monsoon Predictive Utility
Historically, forecasters relied only on Sea Surface Temperature (SST). However, SST only reflects the top skin of the ocean. OMT, which measures the total thermal energy available in the upper layer, provides a vastly superior and more stable metric for accurately predicting the moisture dynamics and total rainfall output of the upcoming summer monsoon. Statement 2 is scientifically correct.
Conclusion
The second statement correctly identifies the forecasting utility of OMT.