Using today’s most advanced climate models Indian meteorologists were still unable to correctly predict this year’s monsoon rainfall.


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The uncertainty of science: Using today’s most advanced climate computer models and data, Indian meteorologists were still unable to correctly predict this year’s monsoon rainfall.

The rains during the four-month-long monsoon season (June to September) – accounting for more than 80% of India’s annual rainfall – is crucial for the agricultural economy. In April, the Indian Meteorological Department (IMD) had predicted that the monsoon season would see normal or above-average rainfall. On 2 August, however, it confessed that more than half of India has received “deficient or scanty” rains, and that the monsoon rainfall for the entire country is likely to be 19.7 % less than normal.

Because they were trying to predict a long term weather pattern, the overall rainfall produced by the yearly monsoon, this prediction was not unlike most of the climate temperature predictions produced by the IPCC’s global warming climate scientists. Moreover, this monsoon prediction likely used similar algorithms and the same data as the IPCC models.

Thus, this failed prediction of monsoon rainfall gives us another peek into the accuracy of those global warming climate models. And that peek is not encouraging. It suggests once again that we should not yet put much faith in the predictive accuracy of the IPCC’s models. The science is simply not advanced enough yet.

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