<p>The Indian Institute of Technology Mandi in Himachal Pradesh has developed an algorithm to process 100 years of data of the Indian Summer Monsoon (ISM) rainfall. It predicts a weakening strength of ISM.</p>.<p>It will also factor in information about global climate phenomena such as El Nino Southern Oscillation (ENSO) and can access periodicity of switching between strong and weak monsoon years. The research was undertaken by Dr Sarita Azad, Assistant Professor, School of Basic Sciences, IIT Mandi, along with her research scholars Pravat Jena, Sourabh Garg and Nikhil Ragha of IIT Mandi. They studied the changes in periodicity of ISM rainfall and used the data to predict periodicity in the future. Their work has recently been published in the reputed American Geophysical Union (AGU) peer-review International journal Earth and Space Science, according to a press statement.</p>.<p>ISM or Indian Summer Monsoon, the annual cycle of winds coupled with a strong cycle of rains, is undoubtedly the lifeline for India. While the monsoon itself is a stable phenomenon, arriving almost like clockwork every year, the short term fluctuations in the annual rainfall are unpredictable and pose a greater challenge. Dr Azad and her team developed algorithms that can accurately detect intense rainfall events, taking into consideration the triennial oscillation period and other factors such as ENSO. </p>.<p>For this purpose, Jena has developed an algorithm to analyse the changes in the periodicity of the ISM. It predicts the decreasing intensity of rainfall in most parts of the country, which covers 41% area. The team examined the spatial distribution of the triennial oscillations using rainfall data of 1260 months between 1901–2005. They analysed the power spectrum of the observed data and showed that the 2.85-year periodicity was present at 95% confidence level over more than half of the 354 grids across India.</p>.<p>Speaking about this research, Dr Azad said, “We found that ISM rainfall has a periodicity of 2.85 years, during which the monsoon tends to switch between strong and weak years. This 2.85 year period is called triennial oscillation.” In addition to the triennial oscillation, the quantum of rains that occurs during the ISM is also connected to global climate phenomena such as El Nino Southern Oscillation (ENSO) that recurs in a 3-5-year period.</p>.<p>Understanding the relationship between triennial oscillation, its spatial distribution, and how it is likely to change in the future is important for reliable monsoon prediction. The research team has projected the data into a collaborative framework-based simulation called the Coupled Model Intercomparison Project (CMIP) to ascertain the future pattern of the 2.85-year period oscillation. The projections showed that there is a weakening of this oscillation by the year 2100. Explaining the ISM, Jena said, “The ISM involves complex interactions both in temporal and spatial scales. Despite the complexity, monsoon rainfall seems to show a well-defined pattern.”</p>
<p>The Indian Institute of Technology Mandi in Himachal Pradesh has developed an algorithm to process 100 years of data of the Indian Summer Monsoon (ISM) rainfall. It predicts a weakening strength of ISM.</p>.<p>It will also factor in information about global climate phenomena such as El Nino Southern Oscillation (ENSO) and can access periodicity of switching between strong and weak monsoon years. The research was undertaken by Dr Sarita Azad, Assistant Professor, School of Basic Sciences, IIT Mandi, along with her research scholars Pravat Jena, Sourabh Garg and Nikhil Ragha of IIT Mandi. They studied the changes in periodicity of ISM rainfall and used the data to predict periodicity in the future. Their work has recently been published in the reputed American Geophysical Union (AGU) peer-review International journal Earth and Space Science, according to a press statement.</p>.<p>ISM or Indian Summer Monsoon, the annual cycle of winds coupled with a strong cycle of rains, is undoubtedly the lifeline for India. While the monsoon itself is a stable phenomenon, arriving almost like clockwork every year, the short term fluctuations in the annual rainfall are unpredictable and pose a greater challenge. Dr Azad and her team developed algorithms that can accurately detect intense rainfall events, taking into consideration the triennial oscillation period and other factors such as ENSO. </p>.<p>For this purpose, Jena has developed an algorithm to analyse the changes in the periodicity of the ISM. It predicts the decreasing intensity of rainfall in most parts of the country, which covers 41% area. The team examined the spatial distribution of the triennial oscillations using rainfall data of 1260 months between 1901–2005. They analysed the power spectrum of the observed data and showed that the 2.85-year periodicity was present at 95% confidence level over more than half of the 354 grids across India.</p>.<p>Speaking about this research, Dr Azad said, “We found that ISM rainfall has a periodicity of 2.85 years, during which the monsoon tends to switch between strong and weak years. This 2.85 year period is called triennial oscillation.” In addition to the triennial oscillation, the quantum of rains that occurs during the ISM is also connected to global climate phenomena such as El Nino Southern Oscillation (ENSO) that recurs in a 3-5-year period.</p>.<p>Understanding the relationship between triennial oscillation, its spatial distribution, and how it is likely to change in the future is important for reliable monsoon prediction. The research team has projected the data into a collaborative framework-based simulation called the Coupled Model Intercomparison Project (CMIP) to ascertain the future pattern of the 2.85-year period oscillation. The projections showed that there is a weakening of this oscillation by the year 2100. Explaining the ISM, Jena said, “The ISM involves complex interactions both in temporal and spatial scales. Despite the complexity, monsoon rainfall seems to show a well-defined pattern.”</p>
