1984—2020年辽宁省极端气温时空变化及粮食产量响应研究

通过选取极端气温指数对1984—2020年辽宁省极端气温时空变化进行分析,结果表明：① 近37 a极端气温指数的时间变化具有一致性,表现为暖指数（年极端高温、暖昼日数、暖夜日数）上升和冷指数（年极端低温、冷昼日数、冷夜日数）下降。受城市化进程影响,突变主要集中在1995—2005年。② 极端气温指数具有空间差异性,具体表现在城镇化水平高的城市极端气温差值变化较小,沿海地区相对指数变化幅度相对较小。③ 结合辽宁省粮食与气象灾害数据,得出1984—2020年粮食实际产量与趋势产量呈波动上升变化。相对产量与气象产量波动趋势一致,近37 a气候丰年10个、气候歉年7个,其他为正常年份。气象产量受极端高温、极端低温的影响较大,风雹、冷冻成为影响粮食产量的关键气象灾害。     

人居环境气候舒适度对城市创新的影响分析

以中国创新水平较高的91个地级及以上城市为研究对象,探讨人居环境气候舒适度对城市创新的影响程度。以城市发明专利申请数代表城市创新水平,采用温湿指数和风效指数的组合模型,参照相应的分级标准计算各城市年气候舒适期,分析城市人居环境气候舒适度与城市创新的关系。结果表明:气候舒适期每增加1%,发明专利申请数仅平均增加0.012%,相对于GDP、R&D人员全时当量、R&D经费等影响城市创新的关键因素,城市人居环境气候舒适度对城市创新有一定影响,但影响并不十分显著。因此,创新政策的着眼点在于关注城市创新投入、人力资本、经济规模等影响城市创新的关键因素。在此基础上,创新布局也应考虑人居环境气候舒适度因素。     

DEM在湖泊水文变化研究中的应用进展

在全球变化背景下,湖泊水文的动态变化不仅是评估和预测气候与环境变化的重要指示剂,同时对社会可持续发展、水资源的开发与利用、生态文明建设等产生重要影响。湖泊水文的动态变化受到湖滨及湖底地形的控制,数字高程模型（DEM）成为湖泊水文研究的重要数据源。随着遥测技术的发展,高分辨率、区域/全球大尺度DEM数据的获取手段快速发展、数据源不断丰富,DEM对推动湖泊水文动态研究进展起到了关键作用。本文首先基于Web of Science平台对DEM在湖泊水文动态研究中的相关文献进行了分析,阐述了该主题现有研究在发文时间、发文数量增减态势、研究区域与热点地区、文献所涉及的DEM数据等方面的特点。接着,围绕着DEM在湖泊水文动态的研究中4个主要方向：湖泊水域变化、湖泊水位变化、湖泊水量变化、湖泊水文灾害情势,重点总结：DEM与其他遥感观测平台、实地观测及模型模拟等多源数据的融合策略,数字地形分析与水文学分析、遥感影像分析等方法的集成策略,以及DEM数据不确定性等对湖泊水文变化研究的影响。最后,本文论述了目前DEM在湖泊水文研究中存在的关键问题,并结合技术发展趋势和研究热点问题,提出了可能的解决路径和未来的研究前景。     

高亚洲及其邻区2003~2017年质量平衡的气候影响分析

利用重力恢复和气候实验(GRACE)数据获得高亚洲及其邻近地区的质量变化,可分析区域气候因素如印度季风、西风带和厄尔尼诺-南方涛动(ENSO)对结果的影响。然而,最近的研究发现,西风带的贡献小于厄尔尼诺,与传统研究结论不同。因此,利用2003-01~2017-06期间GRACE RL06的Mascon数据进行复经验正交函数（CEOF）分析。研究发现,前3个主要成分对研究区质量变化的贡献率分别为53%、27%和6%,与印度季风、西风带和ENSO指数的相关系数分别是0.92±0.16、0.70±0.15和0.42±0.15,说明在长达14 a的观测时间跨度内,印度季风、西风带和ENSO对研究区质量变化的贡献分别为53%、27%和6%,西风带是研究区质量变化的第2个影响因素,这支持了传统的研究结论;ENSO通过印度季风对某些区域（如帕米尔高原、喜马拉雅山脉和印度西北部）的质量变化产生影响;在印度西北部、喜马拉雅山脉和藏东南地区,由于印度季风的减弱及其相关的ENSO作用和西风带的加强,质量变化呈现下降趋势;在兴都库什、西昆仑和东昆仑地区,由于西风带的增强,质量变化呈上升的趋势;在帕米尔和天山地区,虽然受到较强西风带的影响,但由于同时受到印度季风和ENSO减弱以及气温上升趋势的影响,质量变化呈下降的趋势。     

Source Evolution and Its Relationship to Climate Change Since the Middle–Late Pleistocene in Laizhou Bay,China

Through the geochemical analysis of two hundred-meters cores KD4 and ZK3 from Laizhou Bay,in this study,we determined the distribution law and controlling factors of the geochemical elements.We analyzed 24 elements with respect to their R factors and major principal components,which were combined with the source discrimination functions DFCr/Th and DFCa/Al to obtain the sediment source index and its variation with depth for this area.A comparison of the changes in climate indicators suggests a clear correlation between the source and climate changes.The results show that the Yellow River and surrounding short-term rivers are the main sediment sources in this area.The PC3 of the KD4 core and PC2 of the ZK3 core(e.g.,CaO,MnO,SiO2)exhibit significant variations and reflect the relative contributions of Yellow River sources.The deposition process can be divided into six stages:in Phase I(MIS 5c–MIS 5a),the Yellow River formed,and the composition of the Yellow River had a greater influence on the sedimentary composition of the study area.In Phase II(MIS 5a–MIS 3),the sediment sources of the Yellow River and the short-term streams in this area were wavering,with the sediments derived from short-term rivers playing a more important role.In Phase III(MIS 3),with a sharp drop in temperature,the study area was in the process of retreat,and the sediment source changed from the Yellow River to short-term rivers,after which the Yellow River source material remained the main sediment source for the region.A similar process occurred three more times in Phase IV(MIS 3–MIS 2),Phase V(MIS 2–MIS 1),and Phase VI(MIS 1).With changes in climate,especially during alternating sea-land phases,the sediment source varied in marine-terrestrial-marine phases,and the changes are observed as Yellow River source-surrounding provenance-Yellow River source.However,this process of change is not synchronized with the sea-land strata alternation.     

Another Year of Record Heat for the Oceans

Changes in ocean heat content(OHC), salinity, and stratification provide critical indicators for changes in Earth’s energy and water cycles. These cycles have been profoundly altered due to the emission of greenhouse gasses and other anthropogenic substances by human activities, driving pervasive changes in Earth’s climate system. In 2022, the world’s oceans, as given by OHC, were again the hottest in the historical record and exceeded the previous 2021 record maximum.According to IAP/CAS data, ...     

Analysis of Precipitation Anomaly and a Failed Prediction During the Dragon-boat Rain Period in 2023

This study investigates the possible causes for the precipitation of Guangdong during dragon-boat rain period(DBRP) in 2022 that is remarkably more than the climate state and reviews the successes and failures of the prediction in2022. Features of atmospheric circulation and sea surface temperature(SST) are analyzed based on several observational datasets for nearly 60 years from meteorological stations and the NCEP/NCAR Global Reanalysis Data. Results show that fluctuation of the 200-h Pa weste...     

黑河流域降水统计——动力降尺度问题研究

依据区域气候模式RIEMS2.0输出的3 km高分辨率数据和站点降水记录分析了中国西北黑河流域降水的动力降尺度和统计—动力降尺度问题,检验了多种因子组合下多元线性回归（MLR）和贝叶斯模式平均（BMA）降尺度模型,评估了降尺度降水的均方根误差、相关系数、方差百分率及“负降水”偏差率等方面的统计特征。结果表明,动力降尺度降水相关系数最高,误差也最大,降水方差达到观测值的1.5～2倍;除相关系数外,统计—动力降尺度模型的几个统计特征均最优,纯统计模型次之。检验表明,仅用700 hPa位势高度场、经向风和比湿等构建的统计降尺度模型估计的站点降水相关系数较低,均方根误差也较大。当在统计降尺度模型中引入模式降水因子后站点降水的估计得到明显改善,其中MLR类模型的降水相关系数和方差百分率均明显高于BMA类模型,均方根误差二者相当,但前者“负降水”出现频次明显大于后者,“负降水”偏差主要出现在降水稀少的冬半年及黑河中、下游干旱或极端干旱区,上游出现频率较低,其中MLR类模型“负降水”出现频次明显高于BMA类模型,后者仅出现在黑河中、下游地区。包含模式降水因子的统计—动力降尺度模型能减少“负降水”出现...     

东亚高空急流协同变化对冬季欧亚遥相关型气候效应的影响

利用NCEP/NCAR再分析资料和我国地面735站气温和降水资料,首先分析了欧亚遥相关型的时间演变和结构特征,在此基础上探讨了欧亚遥相关型不同位相时东亚大气环流的差异,并进一步研究了欧亚遥相关型影响我国冬季气温和降水过程中东亚高空急流的重要作用。从结构上看,欧亚遥相关型位势高度异常中心位于250 hPa高度,表现出准正压的结构。欧亚遥相关型位于正位相时,东亚温带急流强度偏弱且位置向北移动;副热带急流强度偏强,两支急流在45°N附近有明显分界;西伯利亚高压和阿留申低压强度增强;东亚大槽加深,槽线倾斜不明显。负位相时则相反。欧亚遥相关型与东亚高空急流的联系是其影响我国气温降水的重要原因。正欧亚遥相关型时,偏弱的温带急流区较强的北风分量有利于北方冷空气南下,从而造成我国气温偏低;偏强的副热带急流区增强的南风将副热带地区暖湿空气向北输送,两支急流协同变化,影响我国冬季降水异常的分布。去掉温带急流或副热带急流偏强的年份,欧亚遥相关型与我国温度、降水的相关性显著减弱,说明欧亚遥相关型是通过东亚高空急流协同变化的桥梁,对我国温度和降水异常产生影响。进一步研究发现,欧亚遥相关型与副热带急流的关系不如其与温带急流稳定,导致在欧亚遥相关型同一位相时东亚高空急流存在两种不同的配置,这种高空急流配置的不唯一性使得东亚高空急流能对欧亚遥相关型的气候效应起到调控作用。     

THE ANALYSIS OF MECHANISM OF IMPACT OF AEROSOLS ON EAST ASIAN SUMMER MONSOON INDEX AND ONSET

RegCM4.3, a high-resolution regional climate model, which includes five kinds of aerosols(dust, sea salt,sulfate, black carbon and organic carbon), is employed to simulate the East Asian summer monsoon(EASM) from 1995 to 2010 and the simulation data are used to study the possible impact of natural and anthropogenic aerosols on EASM.The results show that the regional climate model can well simulate the EASM and the spatial and temporal distribution of aerosols. The EASM index is reduced by about 5% by the natural and anthropogenic aerosols and the monsoon onset time is also delayed by about a pentad except for Southeast China. The aerosols heat the middle atmosphere through absorbing solar radiation and the air column expands in Southeast China and its offshore areas. As a result, the geopotential height decreases and a cyclonic circulation anomaly is generated in the lower atmosphere. Northerly wind located in the west of cyclonic circulation weakens the low-level southerly wind in the EASM region. Negative surface radiative forcing due to aerosols causes downward motion and an indirect meridional circulation is formed with the low-level northerly wind and high-level southerly wind anomaly in the north of 25° N in the monsoon area, which weakens the vertical circulation of EASM. The summer precipitation of the monsoon region is significantly reduced,especially in North and Southwest China where the value of moisture flux divergence increases.