Core Insights - Winter skiing has become a popular leisure activity in China, driven by the "southward expansion and westward development" strategy of ice and snow sports, leading to increased visitor numbers at ski resorts nationwide [1][3] - Moji Weather has released a specialized guide titled "Skiing with Weather, Safety First," leveraging 16 years of meteorological data and AI algorithms to help skiing enthusiasts avoid risks and enjoy their experience [1][5] Group 1: Skiing Experience and Conditions - Snow quality is a key factor influencing the skiing experience, with weather conditions acting as an "invisible regulator" of snow quality [1] - The guide indicates that powder snow is more common after 10 AM, providing a smoother and more comfortable skiing experience [1] - Ideal weather conditions for beginners include sunny days with powder snow and light winds, which create a friendly skiing environment [1] Group 2: Weather Impact on Safety - Extreme weather poses significant safety risks for skiing, with specific recommendations based on wind speed, visibility, and snowfall [3] - Wind speeds of 1-2 are suitable for skiing, while 3-4 require caution, and winds of 5 or above necessitate immediate cessation of skiing for safety [3] - Visibility issues during foggy weather should lead to reduced speed, and snowfall can impact visibility and snow conditions, requiring skiers to stop if conditions worsen [3] Group 3: Practical Safety Recommendations - The guide includes practical safety advice tailored to ski resort scenarios, such as the "onion dressing method" for clothing layers to maintain comfort and warmth [3] - Ski goggles are recommended to protect against snow blindness and enhance photo quality [3] - To combat the cold and strong UV rays, the guide suggests using high-moisture creams and high-SPF sunscreen for skin protection [3] Group 4: User Engagement and Services - Moji Weather transforms professional meteorological data into accessible skiing guidance, providing comprehensive support for skiing enthusiasts [5] - Users can access real-time skiing indices, weather forecasts, and safety tips for various ski resorts through the Moji Weather app, enhancing the safety and enjoyment of their winter outings [5] - The guide encourages skiers to choose optimal skiing times and prepare adequately for a safe and enjoyable experience on the slopes [5]

Core Viewpoint - Moji Weather has announced a comprehensive brand upgrade and the launch of a "Predictive Meteorological Service" product matrix, aiming to enhance decision-making in weather-related scenarios [1][4]. Group 1: Product Innovations - The AeroMetis aviation meteorological SaaS platform integrates a large language model to provide a full-chain decision-making solution, helping airlines avoid adverse weather and ensuring flight safety and efficiency [1]. - The AeroMetis system is projected to help airlines reduce return and diversion rates by approximately 10% annually, improve flight regularity by 8%, and generate a 10%-15% increase in overall economic benefits [1]. - The upgraded "AI Life Index" offers intelligent hourly suitability ratings and behavioral suggestions for daily life and outdoor activities, utilizing high-precision weather data [1]. - The "Point-based Rainfall Report" service, aimed at VIP members, provides detailed hourly precipitation forecasts for the past 8 hours and the next 48 hours, identifying high-risk periods and offering safety recommendations based on specific scenarios [2]. Group 2: Strategic Direction - Moji Weather has initiated an internationalization strategy, planning to integrate global resources to build a worldwide meteorological service network [4]. - The company aims to transform meteorological data into actionable strategies, supporting the co-construction of a global meteorological service ecosystem [4]. - Moji Weather has completed multilingual adaptations in over 30 countries and regions and is currently in the capability verification phase [4]. Group 3: Leadership Insights - CEO Jin Li highlighted the company's evolution through three key steps: achieving precise forecasting, connecting weather with various scenarios for personalized advice, and utilizing AI to reconstruct decision-making processes [4]. - Jin Li emphasized that advancements in AI technology allow meteorological data to not only inform but also empower users, redefining the value of meteorological services from merely providing information to delivering decision-making value [4].