2023.GeneralProjectReviewAnalysisofthe2022MeteorologicalJointFund[J].ChineseJournalofAtmosphericSciences(inChinese),47(3):HEJianjun,ZHANGYu,LIUZhe,etal.何建军，张宇，刘哲，等.2023.2022年度气象联合基金项目评审简析[J].大气,47(3):920-924.May20232023年5月ChineencesVol.47No.3第47卷第3期科学920-924.doi:10.3878/j.issn.1006-9895.2302.230142022年度气象联合基金项目评审简析张宇1刘哲1杨蕾2任颖葛非1郭郁葱12何建军1李婧11国家自然科学基金委员会地球科学部，北京1000852中国气象局科技与气候变化司，北京100081摘要2022年气象联合基金资助数值预报模式关键技术、灾害天气监测预报理论与方法和人工智能气象应用技术三个核心领域，共接收申请64项，其中不同单位属性的合作申请占87.5%。申请书关键词分析发现，气象联合基金与地球科学部“天气及气候系统与可持续发展”领域重点项目既有较强的联系，又有明显的区别。气象联合基金评审过程与地球科学部常规重点基金评审过程相似。经过通讯评审和会评，共资助14项重点支持项目，资助率21.9%，平均资助强度264.6万元/项，年均资助强度超过了地球科学部常规重点项目的资助强度。关键词多元投入气象联合基金大气科学国家需求文章编号1006-9895(2023)03-0920-05中图分类号P40文献标识码Adoi:10.3878/j.issn.1006-9895.2302.23014GeneralProjectReviewAnalysisofthe2022MeteorologicalJointFundHEJianjun',ZHANGYu',LIUZhe',YANGLei²,RENYing’,GEFeil,GUOYucong',andLIJing'1DepartmentofEarthSciences,NationalNaturalScienceFoundationofChina,Beijing1000852DepartmentofScience&TechnologyandClimateChange,ChinaMeteorologicalAdministration,Beijing100081AbstractIn2022,theMeteorologicalJointFund(MJF)supportedthreekeyresearchfields:thekeytechnologyofnumericalpredictionmodel,thetheoryandmethodofdisasterweathermonitoringandprediction,andtheartificialintelligencemeteorologicalapplicationtechnology.Accordingly,theNationalNaturalScienceFoundationofChina(NSFC)received64MJFapplicationscomprising87.5%cooperationapplicationswithdifferentunitattributes,andmail/panelreviewswereconducted.KeywordanalysesoftheapplicationrevealedthatMJFandthekeyprogramsinthe“weather,climate,andassociatedsustainabledevelopment"field,DepartmentofEarthScience...
