[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fd1H3xSMvXKSj79fyr8WAm1-Pnk7roJiBWeL2M_06q7c":3},{"code":4,"msg":5,"data":6},200,"操作成功",{"id":7,"title":8,"content":9,"digest":10,"source":10,"coverPath":11,"thumbsCoverPath":12,"isTop":13,"isShow":14,"baseClick":13,"clickCount":15,"createTime":16,"typeId":17,"isNewest":18,"newsInfoTypeRespVo":19,"voiceUrl":22,"voiceSize":23,"taskId":24,"releaseTime":25,"titleEn":26,"contentEn":27,"voiceUrlEn":28,"taskIdEn":29,"voiceSizeEn":30},2054,"全球海洋现象智能预报大模型“琅琊”2.0发布","\u003Cp>\u003Cspan style=\"font-size: 18px;\">2026 年 6 月 6 日，第四届中国数字地球大会上，由中国科学院海洋研究所研发的全球海洋现象智能预报大模型 “琅琊” 2.0 正式亮相，该版本实现了海洋预报能力的全面升级，能够精准预判各类复杂海洋现象变化。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">相较于此前版本，“琅琊” 2.0 不再局限于基础海洋状态变量预报，转而聚焦台风、降水、风暴潮、内孤立波、中尺度涡、海冰六大核心海洋现象，配套打造六个专项模型，形成覆盖多应用场景的系统化预报体系。在海洋灾害预警领域，其台风模型可精准捕捉台风强度突变、路径转向等情况，有效提升 24 小时预报精度；降水模型依托卫星数据研判降水规律，为台风暴雨、极端降水预警提供依据；风暴潮模型覆盖全球重点岸段，可对 400 余个潮位站开展实时监测预报。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">针对海上航行与海洋工程安全，新模型新增内孤立波与中尺度涡预报功能。内孤立波模型可预判重点海区 30 天内演变态势，还能查询 7 天内相关关键参数；中尺度涡模型可预测全球 7 天内旋涡的位置、形态与范围。面向北极航道开发，海冰模型以 3 公里分辨率实现长周期海冰预测，该模型在 2025 年国际海冰预测评比中，于全球 20 余个参赛模型里拔得头筹。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">中科院海洋研究所所长王凡表示，“琅琊” 2.0 推动海洋预报走向实用化、决策化，将为海洋防灾减灾、航运安全、极地通航以及全球气候研究等工作，提供强有力的智能化技术保障。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>【新闻来源】科技日报   https:\u002F\u002Fepaper.stdaily.com\u002Fstatics\u002Ftechnology-site\u002Findex.html#\u002Fhome?isDetail=1&currentNewsId=c33179edaaf24c9dbf277186d27e97b6&currentVersionName=%E7%AC%AC01%E7%89%88%EF%BC%9A%E4%BB%8A%E6%97%A5%E8%A6%81%E9%97%BB&currentVersion=1&timeValue=2026-06-08\u003C\u002Fp>\u003Cp>（本网转发此文章，旨在为读者提供更多的信息资讯，所涉内容不构成投资、消费建议。文章事实如有疑问，请与有关方核实，文章观点非本网观点，仅供读者参考。）\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>","","https:\u002F\u002Fimage.51xinwei.com\u002F2026\u002F06\u002Ffa1a998a06a645fd9ea661918b1521f5\u002F芯位视野.png","https:\u002F\u002Fimage.51xinwei.com\u002F2026\u002F06\u002Fthumbs\u002Ffa1a998a06a645fd9ea661918b1521f5\u002F芯位视野.png",0,1,44,"2026-06-10 11:14",2,false,{"id":17,"name":20,"enName":21},"芯位视野","Xinwei Vision","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3Aac8784a7-ea5c-46c2-8ef2-761abd17814a%3A0.wav?Expires=1781065441&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=uym1NDpW2n3ROjdZ38OQHAiGl%2Bs%3D",4117348,"ac8784a7-ea5c-46c2-8ef2-761abd17814a","2026-06-10 11:07","Global Ocean Phenomenon Intelligent Forecasting Large Model \"Langya\" 2.0 Released","\u003Cp>\u003Cspan style=\"font-size: 18px;\">On June 6, 2026, at the Fourth China Digital Earth Conference, the global ocean phenomenon intelligent forecasting large model \"Langya\" 2.0, developed by the Institute of Oceanology, Chinese Academy of Sciences, was officially unveiled. This version has achieved a comprehensive upgrade in ocean forecasting capabilities and can accurately predict changes in various complex ocean phenomena.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Compared to previous versions, \"Langya\" 2.0 is no longer limited to forecasting basic ocean state variables. Instead, it focuses on six core ocean phenomena: typhoons, precipitation, storm surges, internal solitary waves, mesoscale eddies, and sea ice. It has developed six specialized models accordingly, forming a systematic forecasting system covering multiple application scenarios. In the field of marine disaster warning, its typhoon model can accurately capture sudden changes in typhoon intensity and path shifts, effectively improving 24-hour forecast accuracy. The precipitation model relies on satellite data to analyze precipitation patterns, providing a basis for typhoon rainstorm and extreme precipitation warnings. The storm surge model covers key coastal segments globally and can conduct real-time monitoring and forecasting for over 400 tide gauge stations.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">For maritime navigation and ocean engineering safety, the new model has added functions for forecasting internal solitary waves and mesoscale eddies. The internal solitary wave model can predict the evolution trends in key sea areas within 30 days and also query key related parameters within 7 days. The mesoscale eddy model can predict the position, shape, and extent of global eddies within 7 days. Aiming at Arctic route development, the sea ice model achieves long-term sea ice prediction with a 3-kilometer resolution. This model took first place among over 20 global participating models in the 2025 International Sea Ice Prediction Comparison.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Wang Fan, Director of the Institute of Oceanology, Chinese Academy of Sciences, stated that \"Langya\" 2.0 is driving ocean forecasting towards practical and decision-making applications, and will provide strong intelligent technical support for marine disaster prevention and mitigation, shipping safety, polar navigation, and global climate research, among other tasks.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>【News Source】Science and Technology Daily   https:\u002F\u002Fepaper.stdaily.com\u002Fstatics\u002Ftechnology-site\u002Findex.html#\u002Fhome?isDetail=1&currentNewsId=c33179edaaf24c9dbf277186d27e97b6&currentVersionName=%E7%AC%AC01%E7%89%88%EF%BC%9A%E4%BB%8A%E6%97%A5%E8%A6%81%E9%97%BB&currentVersion=1&timeValue=2026-06-08\u003C\u002Fp>\u003Cp>(This website reposts this article to provide readers with more information. The content involved does not constitute investment or consumption advice. If there are doubts about the facts in the article, please verify with the relevant parties. The views expressed in the article are not those of this website and are for readers' reference only.)\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3Ab27754a0-7bd0-4c81-9fc3-c6a3236729e8%3A0.wav?Expires=1781065441&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=PALr38rWIUGimgcTeBArNruaKcg%3D","b27754a0-7bd0-4c81-9fc3-c6a3236729e8",6251616]