{"id":"1716338a-98bc-43e2-ba07-b14951394bd0","title":"基于浅水波方程的i4DVar同化 算法评估数据","title_en":"Ideal case simulating data for evaluating i4dvar algorithm based on shallow water equation","serial":"","user_limit":"为尊重知识产权、保障数据作者的权益、扩展数据中心的服务、评估数据的应用潜力，请数据使用者在使用数据所产生的研究成果中（包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果），明确注明数据来源和数据作者。对于转载（二次或多次发布）的数据，作者还须注明原始数据来源。","instructions":"文件命名：Exp_x_XXX.txt\n数据读取方式：所有ASCII码文件可以直接用文本程序（如记事本）打开。该数据集中的包含ncl脚本，可以运行ncl脚本。","description":"本数据用于基于浅水波方程进行i4DVar方法的性能进行评估。该理想试验的数据来自于浅水波方程数值模式的模拟，构造了真实场，背景场，观测，集合样本，用于I4DVar的同化。利用i4DVar方法得到最优分析场，进而进行模式预报。求解不同变量的预报场和真实场的均方根误差进行同化方案评估。试验一首先是高度和风场在不同的初始误差和模式误差下的同化性能；试验二是不同初始误差和模式误差对应的同化分析增量的空间结构；试验三是在不同集合样本数条件下，不同同化方案的同化性能。","doi":"10.11888/Meteoro.tpdc.271259","projection":"","language":"zh","share_type":"online","east":45.0,"west":1.0,"south":1.0,"north":45.0,"scale":null,"crs":null,"filesize":1.0,"share_policy":"a","ts_created":"2021-04-22T08:23:49.888146+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-09-22T11:02:47.081227+08:00","time_description":"观测系统模拟试验","datas_group":2,"time_description_en":"observing system simulation experiment ( OSSE)","data_format":null,"project":[11],"specials":[],"cite":null,"review_status":5,"review_invite":[],"review_editor":{"id":21054,"last_login":"2022-04-10T10:49:12.540341+08:00","username":"tingting","email":"panxd@itpcas.ac.cn","is_active":true,"is_staff":true,"user_name":"潘小多"},"data_sources":null,"temporal_resolution":"Hourly","spatial_resolution":"100km - 1000km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[],"subtopics":{"metadata":"1716338a-98bc-43e2-ba07-b14951394bd0","three_pole":null,"third_pole":null},"username":"张洪芹","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":87}