Through the OBSERVER platform, individuals can earn OBSR rewards by uploading weather data. This token-incentivized mechanism not only optimizes the way meteorological data is obtained but may also reshape the global meteorological service landscape.

Weather data, as a “public good,” has long been mainly controlled and distributed by government agencies. However, this centralized data acquisition method has blind spots and delays.OBSERVERBreaking this pattern, leveraging OBSRThe token has established a weather data ecosystem that everyone can participate in.

Three core roles

The OBSERVER platform consists of the following three types of participants:

1. Data Provider (User)Upload weather data to get OBSR rewards
2. Data Buyers: such as agricultural companies, urban planning agencies, weather service providers
3. OBSERVER FoundationResponsible for data quality control, token distribution, and platform operation

OBSR Incentive Mechanism Detailed Explanation

The platform has set up an ‘Impact Factor (IF)’ system, which gives different scores based on data type, time, regional scarcity, etc. The higher the IF, the more OBSR rewards will be obtained. For example, rainfall data in remote areas or high-altitude temperature and humidity data for flights have higher value.

The platform will set the maximum total IF amount daily and distribute it among the uploaders based on the Quality Factor. For example, users who upload barometric data using a mini weather station will receive higher QF and larger IF allocations due to higher data accuracy.

How does OBSERVER ensure data quality?

Once the data is uploaded, it will undergo a triple quality audit process:

1. Compared with the local climate average
2. Cross-validation of data with neighboring nodes
3. Analyzing its reliability using machine learning models

Through these processes, ensure that the data is both authentic and usable, enhancing buyers’ trust in the platform.

The future potential of OBSR

With the development of AI and big data technology, the demand for accurate weather forecasting is increasing. The distributed meteorological data provided by OBSERVER not only serves the fields of smart agriculture, autonomous driving, and logistics scheduling, but also can be combined with AI systems to achieve local short-term weather forecasts.

The market value of OBSR will also rise with the increase in the number of platform users and data demand. For early participants, they can not only earn tokens but also potentially participate in the construction of future global meteorological data infrastructure.