Clouds over the forecast, near normal monsoon, new categorisation is confusing

On Monday the Indian metrological department predicted near normal Southwest monsoon rainfall this year is known as it down plate the impact of the Nino weather phenomenon.

the Indian metrological department for caste deviates from that of private forecasting company, sehmat weather which on April five predicted a below normal monsoon about 93% of the long periods average.

wilder IMD prediction in near normal and oil distributed monsoon should have made the country happy its new categorisation near normal has led to the dispute in some quarters.

while senior meet officials have downplayed the issues saying there is no much difference between near normal and normal monsoon, two important questions are being raised.
Fast if there is no difference is why did the IMD come up with a new category specially in a pole year?

secondly is the agency trying to leave itself with a wrinkle room in case it's prediction goes wrong??

Adding to the confusing is another aspect of the prediction.

There is a moderate chance of a below normal monsoon. this year's all understandable because forecasting the monsoon remains a difficult job, specially S4 in every 10 monsoons are classified as abnormal.
in view of the fact that monsoon is an important factor in India's economic and social life the IMD should have kept the categorisation state forward.

while everyone in India is obsessed with the movement of the monsoon what open get overlooked is harvest harvest this gift of nature. in a country where two third of the field leg irrigation and groundwater is fast deflating there is hardly much being done to as the late environmentalist open set catch water for its falls, along with Prakash Singh award energy is contradiction time and effort must be invested in Conserving the Bounty.

the Indian government master also increased in weather prediction capabilities which remain pool without investment on three front frequent supercomputing upgrades an increase in weather observation data and its significance best in significant scientific manpower.

after all as a scientist at the national Centre for medium range weather forecasting told the Mint news for last year.

7 billion people for changing the climate it is hard for a few hundred scientist to keep pace with it.