（来源：千龙网） 新华社布宜诺斯艾利斯2月12日电（记者张铎 王钟毅）国际科研机构"世界天气归因联盟"11日在一份 报告中指出，人类活动导致的气候变化，是智利中南部和阿根廷巴塔哥尼亚地区近期发生严重森林火灾 的重要影响因素。 "世界天气归因联盟"发布公报说，由于温室气体排放增加，阿根廷和智利部分地区的夏季明显更加干 燥，火灾也更加频繁。该机构科学家利用考虑了高温、强风和低湿度的"热干风指数"，并结合观测数据 和气候模型等计算认为，由于人类活动导致的气候变化影响，智利中南部爆发类似森林火灾的可能性增 加至约3倍，阿根廷巴塔哥尼亚地区的可能性则增加至约2.5倍。 智利中南部比奥比奥大区和纽夫莱大区1月中旬发生森林火灾。据智利官方统计，火灾致使21人死亡， 超4000处房屋或其他设施被毁，受灾民众超过2万人。 在阿根廷，大火自1月5日从该国南部丘布特省帕特里亚达港爆发后，受强风、高温等不利条件影响蔓延 至该国南部多省。阿根廷政府1月30日发布紧急法令，宣布丘布特省、里奥内格罗省、内乌肯省和拉潘 帕省因受森林火灾影响进入为期一年的紧急状态。 ...

Core Viewpoint - The construction of the Luzhou Tower, a significant atmospheric environment meteorological gradient observation tower, has officially commenced, supported by the Chinese Academy of Sciences and the Hefei Comprehensive National Science Center [1] Group 1: Project Overview - The Luzhou Tower is designed to integrate atmospheric pollution gradient, greenhouse gas flux, and comprehensive meteorological observation into a large-scale research facility [1] - The project will feature 23 fixed observation platforms and one continuously adjustable observation cabin, showcasing internationally leading comprehensive observation capabilities [1] Group 2: Location and Timeline - The project is located in the future Great Science City of the Hefei Comprehensive National Science Center and is expected to be completed by September 2027 [1] Group 3: Research and Development Impact - Upon completion, the tower will facilitate research on the three-dimensional distribution and evolution of atmospheric pollution, providing a technical validation platform for the development of ground-based, airborne, and spaceborne atmospheric detection equipment [1] - The project aims to support the application demonstration and industrialization of domestically produced high-end atmospheric detection equipment [1]

Core Viewpoint - The development of China's first "sunshine map" provides a scientific basis for formulating regional agricultural adaptation strategies in complex areas [1] Group 1 - The meteorological research team constructed a solar radiation hours dataset to create the "sunshine map" [1] - The dataset was developed by the Chinese Academy of Meteorological Sciences, Shenyang Agricultural and Ecological Meteorology Research Institute, and the Agricultural and Ecological Meteorology Model and Application Team [1] - The transformation of meteorological station data into grid data allows for a more intuitive representation of solar radiation across large areas in China [1]