Who exactly needs real-time and hyper-local weather data?

Traditional weather forecasting, with its wide coverage, can provide the public with an overview of weather trends within a certain spatio-temporal scale. However, as the degree of social refinement continues to increase, whether it is the precise needs of people for travel and activity arrangements in daily life, or the strict control of weather conditions by various industries in production, operation, decision-making and other aspects, the limitations of traditional weather forecasting in terms of resolution and timeliness are gradually becoming more prominent. At this time, real-time and hyper-localized weather data have emerged as time requires. With the remarkable characteristics of high resolution and instantaneity, they are deeply embedded in various aspects, ranging from individual micro-level lives to the global macro-economy and corporate strategic planning.

Generated and Owned By Ourselves

For people around the world, real-time and local weather data are important references for life planning. In New York, during the peak commuting hours, commuters not only pay attention to the weather conditions of the whole city but also care more about whether there will be sudden wind and rain around specific streets or bus and subway stations. Parents who pick up and drop off their children also hope to know in advance the weather changes in the neighborhood where the school is located, so as to add or reduce clothes in a timely manner. In tourist destinations such as Paris, when tourists plan to visit outdoor attractions like the Eiffel Tower, real-time and local weather data can help them choose the best visiting time and avoid being affected by adverse weather. For example, some current weather apps can provide real-time weather information accurate to the community level. They have a huge user base globally, with hundreds of millions of monthly active users, highlighting the strong demand for this type of data. DePIN can provide a powerful supplement to this kind of consumer scenario on the supply side.

Farm Productivity is Enhanced Thereby

From the farmlands in Brazil to the corn belts in the Midwest of the United States, agricultural production is highly dependent on the weather. Real-time and hyper-localized weather data are crucial for farmers to decide when to plant, irrigate, fertilize, and harvest. In Kenya, Africa, the local agricultural department has cooperated with meteorological institutions to provide farmers with weather data accurate to the farmland plot level. With the help of these data, farmers can respond in advance to the heavy rainfall during the rainy season, arrange farmland drainage reasonably, and effectively reduce crop losses.

Safety and Timeliness are Eternal Topics in the Transportation and Logistics Industry

Globally, for aviation hubs such as Hartsfield-Jackson Atlanta International Airport and ports such as the Port of Rotterdam in the Netherlands, the weather is a key influencing factor for their operations. Real-time weather data can help airlines adjust flight takeoff and landing times in a timely manner, avoiding delays or cancellations caused by fog, heavy rain, or strong winds. When logistics enterprises plan transportation routes, hyper-localized weather data can help them avoid road sections with waterlogging, snow accumulation or landslides caused by adverse weather, ensuring the timely and safe delivery of goods. In the United States, FedEx has cooperated with meteorological service providers to obtain hyper-localized weather data. By analyzing the real-time weather conditions of different road sections, it has optimized transportation routes, successfully reducing delivery delays caused by adverse weather and saving a large amount of operating costs every year.

How Can Limited Energy Realize Infinite Value?

The supply and demand of energy are closely linked to weather conditions. In winter in Europe, the demand for heating energy from residents and enterprises surges. Real-time and local low-temperature data can help energy companies accurately predict demand and allocate resources reasonably to avoid shortages. In some areas of Australia rich in solar energy resources, real-time cloud cover and light intensity data are crucial for solar power generation enterprises to optimize power generation plans and improve efficiency. For example, E.ON, a German company, has optimized its energy dispatch with the help of accurate meteorological data, saving millions of euros in operating costs every year.

Can the Weather Data in Web 3.0 Really Realize Its Value?

Why not? The real-time and hyper-localized weather data collected through the crowdsourcing method, after being processed, are provided to enterprises and institutions with relevant needs. As mentioned above, providing farmland-level environment data to agricultural technology companies helps to develop precision agriculture solutions; providing real-time weather data along transportation routes to logistics industry data analysis platforms optimizes transportation route planning. These enterprises and institutions pay according to the amount of data used or the type of service, realizing the commercial value of meteorological data. High-precision real-time meteorological data services are an important growth point in the global weather data market.

These weather data can also be combined with more consumer scenarios, such as travel booking platforms, various value-added applications, insurance and financial services, etc. By cooperating with insurance companies and providing extreme weather data for specific regions, it helps them accurately assess risks and formulate insurance premiums. If the claim settlement rate is reduced due to accurate weather data, both parties can share part of the benefits. For example, Weather Risk Management Solutions has cooperated with multiple insurance companies to provide them with extreme weather data such as hurricanes and heavy rains, helping the insurance companies to assess risks more accurately. While reducing the claim settlement rate, Weather Risk Management Solutions has also obtained a substantial share of the profits.

Real-time and hyper-localized weather data have a wide and urgent demand globally, and significant value can be realized through various means. Whether it is to improve the quality of life or to promote the efficient development of industries, they are of vital importance. With the progress of technology, the acquisition and application of these data will become more accurate and extensive, injecting new vitality into the development of the global economy and society.

For more information, welcome to follow SkyX!

Website: skyxglobal.com

Shop: shop.skyxglobal.com

Twitter: SkyX_Network

Discord: discord.gg/BFZHVFn8b2

Telegram: t.me/skyxnetwork