Every one of Haryana’s 21 districts received excess rain for the period 1 March to 30 April 2015. As these rains have destroyed crops, including food staples, the need to compensate the affected farming families is now paramount. Relief and support are only useful when they are arrive quickly, and unlike administrative conditions two generations ago, state governments and district collectors today can consult data around the clock about conditions in districts and blocks.
Our infographic shows why the March and April rains in Haryana have had destructive effects. The average rainfall in a district of Haryana during this two-month period was 111.6 millimetres – most were in the range of 148 mm (like Ambala) and 81 mm (like Mahendragarh). However, the average for the two months, March and April, is 21.2 mm (Panipat and Faridabad are usually closest to this average).
Although the level of detail available at the district, and indeed even at the weather station level, is comprehensive, the Indian Meteorological Department’s rainfall quantity categories are not granular enough to describe what Haryana has experienced. (This is so for every state that has recorded what is called “unseasonal rain” in these months.)
Amongst the questions that remain unanswered concerning the ‘unseasonal rains’ phenomena – common to Haryana, eastern and western Uttar Pradesh, Bihar, Madhya Pradash, Rajasthan and Gujarat – is the matter of how much rain becomes excess over how many days? This meteorological sub-division (Haryana, Chandigarh and Delhi) normally receives 165 mm in July and 173 mm in August. Therefore, an average amount of 111.6 mm over two months is not a quantity that has surprised the agricultural community.
The matter is one of timing – which lapse the state administration needs to explain, as the weather forecasters first alert state administrations, which then relay alerts and advisories to district administrative staff. Between the claims for compensation for destroyed crops and the political point-scoring, the state government of Haryana has side-stepped the question: what did it do with the weather advisories it was given in March and April 2015?
For our series on the changing rainfall and climate patterns (the Haryana map is the first), we use six categories that begin with 10% above normal and extend to 1000% above normal. This method does better at identifying districts in which agriculture has been hit harder by unseasonal rains and stormy weather.
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