Traditional Culture Encyclopedia - Weather inquiry - Can climate data only predict rainfall?

Can climate data only predict rainfall?

Can climate data only predict rainfall? Then you are wrong!

Weather conditions are closely related to human beings. No matter where you are on the earth, you cannot ignore the impact of weather and climate on human life. There are huge differences in climate in various regions around the world, but people living in a certain area may not feel this difference obviously.

Weather and climate conditions are also important factors affecting the economy of a region. Once the climate is abnormal, the economy may be seriously negatively affected. For example, floods will damage important infrastructure, and long-term absence of rain will cause serious negative impacts. Can lead to drought.

Climate has a huge impact on society. Some people even believe that the Syrian civil war was caused by weather changes. Former US Secretary of State John Kerry said: "Climate change is not necessarily the direct trigger of the Syrian crisis, but it is obvious that the drought in Syria is adding fuel to the fire. , adding insult to injury ”

Therefore, paying attention to weather conditions is not just to know what to wear tomorrow, but requires companies and enterprises to make a long-term plan and judge the impact of weather conditions in the next few weeks based on weather data. What impact will it have on its business?

As we all know, British supermarket chains use climate data to predict sales and adjust warehouse inventories. For example, if they receive weather forecast data that says there will be significant warming over the next three weeks, they will check to see if there are enough barbecue grills, sunscreen, cold drinks, etc. in the warehouse to meet consumer demand.

Data from the supermarket in 2013 showed that the group saved more than 6 million pounds and reduced out-of-stock costs by 30% by relying on weather forecast data that year.

But in the years after 2013, the global climate has become more unpredictable. 2014, 2015, and 2016 were the years with the highest global temperatures on record, adding more difficulties for people to predict the weather. The interference of many uncertain factors has caused great trouble to the formulation of the company's marketing plan.

Negative impacts of the elusive climate include damage to infrastructure that disrupts supply chains, and poor crop yields due to bad weather, resulting in shortages of certain products.

In this sense, climate data can not only help people predict the occurrence of disasters, but also help people formulate reasonable plans to reduce the negative impact of sudden climate disasters on company business.

There are a huge number of data points that affect climate. It is undoubtedly an extremely difficult task to input these data points one by one and then deduce the possibility of different weather in a certain area, which requires countless manpower and time. energy.

The National Oceanic and Atmospheric Administration has invested heavily in building the Cray supercomputer, which has a calculation speed of up to 3 quadrillion times per second.

To take into account so many factors affecting climate change, you must rely on this powerful computing power, and more and more companies and enterprises will rely on this climate data to help them improve Operational efficiency.

As we all know, in company operations, external influencing factors are as important as internal subjective initiative. Weather and climate are one of the external factors. Weather and climate have a certain impact on every company, so it is necessary for us to make good use of climate data to predict weather conditions and develop efficient response plans.