Group 1 - The weather forecast for Beijing indicates a mix of sunny and cloudy conditions during the day with a maximum temperature of 7°C [1] - Wind conditions are expected to be moderate, with north winds at levels 2 to 4 during the day and gusts reaching levels 6 to 7 in mountainous areas [1] - At night, the weather will remain clear to partly cloudy with a minimum temperature of -6°C and winds at level 3, with gusts up to level 5 or 6 [1] Group 2 - There is a notable emphasis on wind and cold conditions in mountainous areas and at night, advising caution against wind and cold exposure [2] - The forecast highlights dry conditions, prompting warnings about fire and electrical safety [2]

Core Viewpoint - The article discusses the advancements in artificial intelligence (AI) models for meteorological services in China, highlighting the launch of new AI models that enhance weather forecasting and disaster warning capabilities in response to increasingly complex climate conditions. Group 1: AI Model Developments - The China Meteorological Administration (CMA) has released the AI model "Fengyuan" and upgraded three other models: "Fengqing," "Fenglei," and "Fengshun," to improve weather forecasting and warning capabilities [1][2] - The newly launched "Fenghe" model, with a trillion parameters, collaborates with the other models to provide personalized weather services across various sectors [1][2] Group 2: Applications and Services - AI is deeply integrated into meteorological services, providing personalized travel and health guidance, and supporting decision-making in agriculture, energy, and transportation [2] - The "Fenghe" model can offer tailored solutions based on intelligent analysis, covering multiple scenarios related to weather [2] Group 3: Precision and Efficiency - The upgraded "Fengshun" model focuses on key agricultural and energy needs, adding over ten critical meteorological factors to enhance service precision [3] - The "Fenglei" model has shown a 25% improvement in the quality of severe weather predictions, demonstrating its effectiveness in real-time disaster warnings [4] Group 4: Future Directions - The CMA's strategy for 2025-2035 emphasizes the integration of numerical forecasting with AI to enhance simulation and prediction capabilities of Earth's systems [7] - The AI models are expected to significantly improve forecasting accuracy and computational efficiency, with the "Fengqing" model capable of generating 15-day global weather forecasts in just three minutes [7]

Domestic Weather Situation - Light snow or sleet was observed in Gansu, Shaanxi, Henan, and Anhui, with local areas experiencing moderate snow [2] - Significant temperature drops of 6-8°C were recorded in parts of Xinjiang, Shaanxi, and Guangxi, with some areas seeing drops exceeding 10°C [2] - Strong winds of 7-8 levels, with gusts reaching 9-10 levels, are expected in the Yellow Sea, East China Sea, and Taiwan Strait from January 2 to 3 [2][12] Global Weather Situation - Heavy rainfall was reported in regions including Indonesia, Australia, and Brazil, with some areas experiencing torrential rain [7] - Strong snowfall occurred in Central Europe, Eastern Europe, and the northeastern United States, with local areas facing blizzards [8] - Japan is forecasted to experience strong snow and winds, with gusts reaching 8-9 levels in the coming days [9] - Northern and Eastern Europe are expected to see blizzards, particularly in Sweden, Finland, and the Baltic states, with local areas facing severe snow conditions [10] Future Weather Forecast - From January 2 to 4, light to moderate snow or sleet is expected in parts of the Tibetan Plateau, Southwest, and Northwest regions [12] - Rain is forecasted in areas including Tibet, Sichuan, and Taiwan, while moderate winds of 4-6 levels are expected in parts of Inner Mongolia and the Liaodong Peninsula [12][15] - On January 3-4, light snow or sleet is anticipated in regions such as southern and eastern Tibet, and parts of Henan and Hubei will see light rain [13][15]

Core Viewpoint - The release of the AI meteorological model "Fengyuan" by the China Meteorological Administration marks a significant advancement in China's meteorological capabilities, providing an open-source platform for enhancing AI weather forecasting and research [1][2]. Group 1: Model Features - "Fengyuan" represents an end-to-end scientific model with independent intellectual property rights, achieving technological autonomy in key areas and establishing a foundation for continuous iteration and evolution [1]. - The core capabilities of "Fengyuan" V1.0 include data assimilation and forecasting modules, enabling global weather forecasting based on observational data [1]. Group 2: Future Prospects - The model aims to enhance the ability to capture extreme weather events, particularly short-term weather changes, by leveraging artificial intelligence [1]. - Focus areas for future development include low-altitude economy, energy supply security, transportation logistics, and health meteorology, with the goal of better serving economic and social development [1]. - There are plans to expand internationally, promoting the application of meteorological AI achievements in countries involved in the Belt and Road Initiative [1]. - The model will also foster collaboration among key innovation teams in artificial intelligence through a meteorological science and education integration innovation alliance [1].

Core Viewpoint - A strong cold air mass is expected to impact most regions of China, bringing strong winds and temperature drops, with snowfall in certain areas [4][6]. Group 1: Weather Impact - Significant snowfall occurred in northern Xinjiang, with some areas experiencing heavy snow, including a maximum snowfall of 19.9 millimeters in Urumqi [2]. - Strong winds of 8 to 10 levels were reported in northern Xinjiang and western Inner Mongolia, with localized gusts exceeding level 11 [3]. - The cold air mass will lead to temperature drops of 4 to 8 degrees Celsius across central and eastern China, with localized drops reaching 10 to 12 degrees Celsius [4][6]. Group 2: Weather Forecast - From November 23 to 25, the cold air mass will move from west to east, affecting various regions with expected snowfall and strong winds [4][6]. - Specific forecasts indicate that from November 23 to 24, areas such as eastern Xinjiang, central and western Inner Mongolia, and parts of Gansu will experience small to moderate snow or sleet, with localized heavy snow [7]. - The forecast for November 24 to 25 includes similar conditions, with expected snowfall in northern Xinjiang, central Inner Mongolia, and northeastern regions, along with strong winds [9].

Core Viewpoint - The Central Meteorological Administration has issued warnings for strong winds and significant weather changes in southeastern and southern coastal areas of China, with expectations of cold air and precipitation in various regions over the coming days [1][2]. Group 1: Weather Forecast - From November 19, 08:00 to November 20, 08:00, strong winds of 5-6 levels and gusts of 7-8 levels are expected in regions including northern Xinjiang, northern Qinghai, and parts of Inner Mongolia and Hebei [2]. - The southeastern sea areas, including the Taiwan Strait and the South China Sea, will experience winds of 7-8 levels, with gusts reaching 9-10 levels, and some areas may see winds up to 9 levels and gusts of 10-11 levels [2]. - A blue warning for strong winds was issued by the Central Meteorological Administration on November 19 [2]. Group 2: Upcoming Weather Changes - A new cold air mass is expected to affect northern regions from November 23 to 24, leading to temperature drops of 4-6°C in most areas north of the Yangtze River, with localized drops of 8-10°C [5]. - On November 24, northern Xinjiang may experience light to moderate snow or sleet, with some areas facing heavy to blizzard conditions [5]. - After November 26, a strong cold air mass will impact most of China, resulting in temperature drops of 4-6°C, with some areas experiencing drops of 8-10°C [5]. Group 3: Regional Precipitation Forecast - From November 19, 08:00 to November 20, 08:00, regions such as southwestern Yunnan may see heavy rain (25-35 mm), while parts of Inner Mongolia and northeastern Heilongjiang may experience light to moderate snow or sleet [6]. - From November 20, 08:00 to November 21, 08:00, light to moderate snow or sleet is expected in northeastern Inner Mongolia and parts of Xinjiang, while light rain may occur in southern Sichuan and southeastern Tibet [7]. - From November 21, 08:00 to November 22, 08:00, light to moderate snow or sleet is forecasted for northern and southern Xinjiang, with light rain in parts of southwestern China [9].

Core Viewpoint - The article discusses the advancements in weather forecasting technology with the introduction of Google's DeepMind WeatherNext 2, which offers real-time, hour-level predictions and significantly improves the accuracy and speed of weather forecasts [2][7]. Group 1: Technological Advancements - WeatherNext 2 operates 8 times faster than its predecessor and provides hourly resolution forecasts, allowing for detailed predictions such as "light rain from 2-3 PM" [2]. - The system can generate dozens to hundreds of possible weather evolution scenarios from the same input [4]. - Traditional supercomputers take hours to perform similar tasks, while WeatherNext 2 can complete them in under a minute using a single TPU [6]. Group 2: Importance of Detailed Forecasting - Detailed weather predictions are crucial for various industries, including energy management, urban planning, agriculture, logistics, and aviation [9][10]. - The atmospheric system is complex and chaotic, where small disturbances can significantly impact weather patterns [10]. Group 3: Functional Generative Networks (FGN) - The key to WeatherNext 2's speed and accuracy is the introduction of Functional Generative Networks (FGN), which uses slight, globally consistent random perturbations to model weather [13][15]. - FGN allows the model to generate a complete future weather field from a 32-dimensional random vector, effectively creating multiple future scenarios [15][18]. - This method has resulted in a significant reduction in prediction errors and improved the model's ability to predict extreme weather events, such as typhoon paths, with a 24-hour advance in accuracy compared to previous models [19][21]. Group 4: Performance and Stability - FGN has shown to be stable, efficient, and practical, although it may occasionally produce minor artifacts in high-frequency variables [22][23].

新京报讯 据"气象北京"微信公众号消息，受偏南暖湿气流影响，今天北京云量较多，早晨雾气缭绕。随着太阳升 起，能见度略有好转。入夜以后，近地面湿度仍然较大，夜间至明天早晨能见度较差，需要注意防范。 根据最新气象资料分析，受冷空气影响，9日白天有3、4级偏北风，山区阵风明显。目前已进入红叶最佳观赏期， 双休日人多拥堵，建议大家错峰前往，注意防风和出行安全。11月6日至11月13日白天最高气温10℃至14℃，夜间 最低气温2℃至7℃。 气温方面，预计午后最高气温在14℃上下，夜间最低气温在8℃左右。天空阴沉，体感还是比较冷的，尤其是早出 晚归的市民，务必注意添衣保暖。 ...

Core Insights - The province has experienced frequent and abnormal rainfall since the onset of autumn, with significant impacts on weather patterns and agricultural activities [1] Group 1: Rainfall Data - Since September 16, the province has recorded 19.8 days of rainy weather, which is 9.9 days more than the average for the same period, marking the highest since 1961 [1] - The average rainfall from September 16 to October 9 is 221.4 millimeters, which is 3.5 times more than the average for the same period, also the highest since 1961 [1] - From October 1 to October 9, the average rainfall is 54.4 millimeters, with 13 cities recording over 50 millimeters, the highest being Kaifeng at 76.3 millimeters [1] Group 2: Weather Forecast - Rain is expected to continue in mid-October, with two significant rainfall events forecasted for October 12-13 and October 16-17, with a break in precipitation on October 14-15 [2][4] - On October 9-11, the eastern and southeastern regions will experience cloudy to overcast conditions with light rain, while the western and northwestern areas may see moderate to heavy rain [2] - From October 18, the weather is expected to clear up, transitioning to mostly sunny conditions by October 19-20 [5][6] Group 3: Agricultural Implications - Continuous rainfall has led to persistently wet soil, hindering normal agricultural operations, and farmers are advised to take advantage of dry periods for harvesting and proper storage to mitigate risks of sprouting and mold [7] - Post-harvest actions such as timely stubble management and drainage are recommended to prepare for wheat sowing [7] - There are concerns regarding potential geological hazards, rising water levels in small rivers, and urban flooding due to ongoing rainfall [7]

油脂油料早报 研究中心农产品团队 2025/07/10 报告前瞻：调查显示分析师平均预计美国 一项调查显示，分析师平均预计美国2024/25年度大豆年未库存料为3.58亿蒲式耳。 美国2025/26年度大豆产量料为43.34亿蒲式耳，单产料为52.5蒲式耳 英亩。 全球2025/26年度大豆年未库存料为1.2631亿吨；全球2025/26年度玉米年末库存料为2.7746亿吨。 巴西2024/25年度大豆产量料为1.6925亿吨，阿根廷2024/25年度大豆产量料为4,927万吨。 美国农业部定于 月11日1600GMT（北京时间 月12日00:00）公布 月作物供需报告。 年度油菜籽产量预计为 一项大宗商品研究报告显示，欧盟27 英国2025/26年度油菜籽产量预计为2,030万吨，预估区间介于1,930万吨至 2,130万吨。 在过去两周，欧洲国家气温较正常高出1-6摄氏度，大多数地区的降雨量低于平均水平，引发了对法国、德国和波 兰干旱的担忧。只有西班牙和英国的降雨量高于均值，雨量较正常高9-30毫米。 最新的气象预报显示，欧洲西部和中部地区本周末之前天气较为凉爽，未来两周气温则较高。预计欧洲西部和中部 将 ...