#PlanetPartners: Early Indian monsoon forecasts could benefit farmers
Release Date 09 February 2021
Farmers in India should be provided with early forecasts of expected variations in the monsoon season in order to reduce crop losses, scientists say.
Researchers at the University of Reading and the European Centre for Medium-range Weather Forecasts (ECMWF) led the first ever in-depth study into how accurately ECMWF’s latest long-term global weather forecasting system can predict when the summer monsoon will start, and how much rainfall it will bring.
They found the model provided accurate forecasts a month in advance for the timing of the monsoon in India’s major agricultural regions. Providing this information to farmers could help them prepare earlier for unexpected heavy rainfall or extended dry periods, both of which regularly destroy crops in India.
Dr Amulya Chevuturi, a monsoon researcher at the University of Reading and lead author of the study, said: “The Indian monsoon brings around 80% of India’s annual rainfall, so even small variations in the timing of its arrival can have a huge impact on agriculture. Accurately predicting these year-to-year variations is challenging, but could be the difference between prosperity or poverty for many families.
“The forecasting accuracy we identified in India’s main agricultural regions provides a clear opportunity for this system to make a positive difference to people’s lives. A month’s warning of a drought or deluge is valuable time to understand the likely impact on water availability and for farmers to make provisions to reduce the threat to food supplies.
“Better forecasts save lives, and this kind of in-depth global analysis is only possible when the best scientists and leading research institutes work together for the benefit of the whole planet.”
"Variations in the monsoon rains affect crop yields, the supply of water for drinking, sanitation and industry – and even India’s stock market" - Dr Andy Turner, University of Reading
The Indian monsoon season starts around 1 June every year, beginning in south west India before spreading across the whole subcontinent.
Scientists looked at 36 years’ worth of monsoon data to evaluate for the first time the effectiveness of the ECMWF’s latest seasonal forecasting system – SEAS5 – in predicting how the Indian monsoon would differ from the long-term average.
The team compared forecasts from 1 May each year from 1981-2016 with actual observations of the monsoons that followed.
Their study, published in Climate Dynamics, found the forecasts were accurate for the large-scale processes, like temperature and winds, that drive the monsoon rainfall across India. The study also found that SEAS5 was good at predicting early or late monsoon arrival over the important agricultural regions along the river Ganges plains and the eastern and western coasts of India.
It also identified deficiencies in the system that could pave the way for model improvements, potentially providing more detailed and accurate seasonal long-term monsoon forecasts.
The study showed the forecasts tended to overestimate rainfall over the mountainous Western Ghats and Himalayan regions, and underestimated rainfall along the plains of the river Ganges in the north of the country, and its delta at the Bay of Bengal.
However, the forecasts were correct for the monsoon rainfall pattern across India, making them useful for planning purposes.
Dr Andy Turner, Associate Professor in Monsoon Systems at the University of Reading, and co-author of the study, said: “Attempts to make seasonal forecasts for the Indian summer monsoon have been going on since the late-19th century, but its only quite recently that we’ve been able to use computer models to help.
“Any variations in the timing, intensity or duration of the Indian summer monsoon can have profound impacts on society. Variations in the monsoon rains affect crop yields, the supply of water for drinking, sanitation and industry – and even India’s stock market.
“Early and accurate forecasts of the monsoon rains and their onset can help planning to avoid losses in these sectors.”