{"id":5704,"date":"2014-11-30T03:32:58","date_gmt":"2014-11-29T22:02:58","guid":{"rendered":"http:\/\/ivyproschool.com\/blog\/?p=5704"},"modified":"2025-04-01T17:36:48","modified_gmt":"2025-04-01T12:06:48","slug":"from-the-descriptive-to-the-predictive-analytics-in-climate-science","status":"publish","type":"post","link":"https:\/\/ivyproschool.com\/blog\/from-the-descriptive-to-the-predictive-analytics-in-climate-science\/","title":{"rendered":"From the Descriptive to the Predictive \u2013 Analytics in Climate Science"},"content":{"rendered":"

With progress in the field of data science; climate experts, private players and the academia, are exploring the scope of information that can be extracted from climate trends and computer models. In recognition of the need for innovation in climate data analytics, the United Nations even unveiled a Big Data Climate Change Challenge<\/a> that saw winning examples<\/a> showing how Big Data can mitigate climate risks and strengthen resilience.<\/p>\n

Climate Data gets Bigger<\/strong><\/p>\n

Data related to past and current climate observations across the world is being amassed every moment. However, without analysing this information or using it for predictions, all this voluminous data is of little relevance.<\/p>\n

This gap has been closing over the past few decades. Peer-reviewed methods have applied easily available open-source software for research and proven analytical methodology to decode this Big Climate Data. Detailed analysis of the data has enabled climate trends to be forecast and predictive models to be built for decision making.<\/p>\n

In an era of climate change and extreme weather patterns, policy makers need to understand weather and climate changes. This is made possible by various statistical models that create simulations of climate change at both the regional and global levels. As various Big Data analysis software emerge, comparison between multiple versions of complex datasets has helped to derive detailed insights for an integrated climate picture.<\/p>\n

Making predictions and taking appropriate decisions on time ultimately help safeguard lives and property, cutting down on disaster response time and costs.<\/p>\n

Big Data Analytics in climate science has already gained momentum in the U.S. with initiatives taken by the NASA, academia and policy makers. Can we hope to see students and analytics data science professionals in India too, take on the challenge of applying analytics to climate data?<\/p>\n

Applications<\/strong><\/p>\n