Enhancing Weather Data Quality with WeatherXM's New Algorithm

WeatherXM has recently upgraded its Quality of Data (QoD) algorithm to enhance the accuracy of community-powered weather data. This upgrade, implemented on September 9, 2025, introduces the Indoor Station Detection (ISD) feature, which allows for better identification of poorly deployed weather stations. Previously, stations could achieve high QoD scores simply by transmitting data, regardless of its accuracy. With the new ISD, stations placed indoors or in obstructed areas are now more likely to receive lower scores, motivating owners to adhere to best deployment practices for optimal performance.
The impact of the ISD is already evident, as many stations that previously boasted high QoD scores are now rated below 0.3. For instance, the Jolly Kobe Gust station in Portugal, once receiving scores between 40% and 79%, would now score 0% due to its poor deployment conditions. The algorithm checks various factors such as solar radiation, temperature, humidity, and wind speed to determine the validity of the data being reported. Stations that exhibit unrealistic readings due to improper placement are flagged, ensuring that only reliable data contributes to the WeatherXM network.
Proper deployment of weather stations is crucial for maximizing rewards and ensuring the data’s reliability for sectors like agriculture and energy. WeatherXM encourages users to follow a deployment checklist that includes placing stations outdoors, avoiding obstructions, and regularly checking feedback through the mobile app. The goal of the new QoD algorithm is not to penalize users but to assist them in improving their setups, thereby enhancing the overall quality of the community-powered weather network. By aiming for perfect deployments, users can increase their rewards while contributing valuable data to the WeatherXM community.
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