1. Big data can help us prepare to tackle global calamites.
Answers
Answer:
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Explanation:
Climate change has been attracting a lot of attention for a long time. The adverse effects of climate change is being felt everywhere. For example, sea levels are rising, glaciers are melting, cities are experiencing recurring floods and deforestation is on the rise. Global sea levels will rise two to seven feet during this century. Climate change has wide-ranging implications that include financial and safety. For example, Weather Analytics, a company providing climate data estimates that 33% worldwide GDP is impacted by weather. The adverse effects of natural calamities such as tornadoes, tsunamis, wildfires, and hurricanes are well-documented.
To handle this issue, countries need good action plan which should be made on the basis of accurate, real-time or near real-time analytics. Big data and predictive analytics can potentially provide accurate, real-time or near real-time analytics. Over the years, a lot of work has already been done on this front which is reflected in the availability of tools such as Global Forest Watch, Microsoft Research’s Madingley Model, and the Google Earth Engine. Given the rate at which climate is changing, we need to respond fast. Big data and predictive analytics technologies have enabled stakeholders to process huge volumes of data fast and generate accurate insights. Sensors are collecting data on various variables such as rain, soil, and forest cover and helping establish correlations between datasets. It is clear that big data and predictive analytics is, and will be one of the most important tools governments will be using while they find ways to mitigate effects of climate change.

How absence of big data and predictive analytics can impact climate change policy?
This goes without saying that without big data and predictive analytics, policies or plans on climate change will be severely handicapped and one-dimensional. Some possible scenarios without big data in the equation, even if imaginary, could be the following:
The calculation on how much carbon emissions need to be cut across the world could be way off the mark. Think of a scenario where countries adopt a resolution to cut carbon emissions from all generating bodies such as cars, air conditioners and industrial plants by 2% in the next 5 years whereas, based on the current conditions, the minimum need was 5%. Inadequate emission cut means rising global warming, illnesses and other problems.
Since glaciers are melting faster than ever, the sea levels are rising. This puts coastal areas especially at great risk. Without accurate analytics and predictions, proactive steps such as housing relocation, rehabilitation planning and other steps could be delayed and inadequate.
Environmental changes and ecological imbalances across the world could go unnoticed to a large extent. Unless updated data-based perspectives are provided to the right forum, the right perspective might not be formed. It is important to be able to compare and track environmental and ecological changes over time with data.
Impact of big data and predictive analytics on climate change policies
Policies and strategies aimed at climate change phenomenon have been significantly influenced by big data and predictive analytics. Both government and non-government companies have been developing trendsetting tools and technologies that help formulate advanced climate change actions. These tools and technologies, needless to say, are based on big data. Enormous volumes of data on different variables such as temperature change, sea levels, forest cover and carbon emissions are collected every moment and analyzed. These tools can establish the correlation between different variables, provide actionable insights, predictions and patterns based on which proactive actions or precautions can be taken. How big data and predictive analytics are influencing the fight against climate change can be best understood by the contributions of a few tools and technologies, as described below