Big data and data mining help predict climate change and avail various breakthroughs in sectors like health informatics, marketing and smart cities. Since, these technologies have not yet provided the stable key findings for the climate change.
Among a few reasons behind why the techniques are not delivering the testaments, the most important one is that earlier data mining working in the climate science and particularly in the climate teleconnections analysis, is relied on the processes that offer the more facile answers as ‘yes’ or ‘no’.
Climate change has always been getting a lot of attentions and scrutiny since a long period of period. Its dreadful impacts are already being faced everywhere including the rising sea levels, melting glaciers, increased deforestation and recurring floods in the countries.
In order to manage this issue, some good action plans are needed that are made with the real-time and accurate analytics. Already a huge work has been done for the same approach along with the availability of some of the applications like Global Forest Watch, Google Earth Engine and Madingley Model by Microsoft Research.
Professor Annalisa Bracco from the Georgia Institute of Technology School of Earth and Atmospheric Sciences, said in a statement that, “It’s not that simple in climate. Even weak connections between very different regions on the globe may result from an underlying physical phenomenon. Imposing thresholds and throwing out weak connections would halt everything. Instead, a climate scientist’s expertise is the key step to finding commonalities across very different data sets or fields to explore how robust they are.”