期刊,中国科学:地球科学（英文版） 2024年卷3期_国家学术搜索

期刊信息/Journal information

中国科学:地球科学（英文版）

主　　编：周光召

出版周期：月刊

国际刊号：1674-7313

电子邮箱：sales@scichina.org

电　　话：010-64019820

邮政编码：100717

地　　址：北京东黄城根北街16号

中国科学:地球科学（英文版）/Journal Science China(Earth Sciences)CSCDEISCI

查看更多>>《中国科学》是中国科学院主办、中国科学杂志社出版的自然科学专业性学术刊物。《中国科学》任务是反映中国自然科学各学科中的最新科研成果，以促进国内外的学术交流。《中国科学》以论文形式报道中国基础研究和应用研究方面具有创造性的、高水平的和有重要意义的科研成果。在国际学术界，《中国科学》作为代表中国最高水平的学术刊物也受到高度重视。国际上最具有权威的检索刊物SCI，多年来一直收录《中国科学》的论文。1999年《中国科学》夺得国家期刊奖的第一名。

正式出版

收录年代

Sea level rise along China coast from 1950 to 2020

Dapeng MUTianhe XUHaoming YAN

802-810页

查看更多>>摘要：Global mean sea level rise has been reconstructed using tide gauges.However,long-term sea level rise along the China coast is unclear.To address this issue,a data assimilation approach is developed to reconstruct sea level rise along the China coast from 1950 to 2020 using a global distribution of tide gauges(TGs).This approach combines climate models and sea level fingerprints.The climate models provide stereodynamic sea level changes.The sea level fingerprints include increases in ocean mass due to global ice melting and changes in water storage on land.The reconstructed global mean sea level rise agrees well with previous studies.We quantify sea level rise at 20 TGs along the China coast.The results suggest that sea level rise along the China coast(1.95±0.33 mm yr-1)is greater than the global mean(1.71±0.17 mm yr-1).We also find that China's coastal sea level rise is more than three times faster after 1980,increasing from 0.84±0.28 mm yr-1 for 1950-1980 to 3.12±0.21 mm yr-1 for 1980-2020.This finding implies a significant sea level acceleration along the China coast.Our results advance the understanding of long-term sea level changes along the China coast.

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万方数据
维普

Meridional deflection of global eddy propagation derived from tandem altimetry:Mechanism and implication

Ge CHENXiaoyan CHEN

811-825页

查看更多>>摘要：A common view on meridional deflection of eddy propagation is poleward for cyclones and equatorward for anticyclones.This widely accepted polarity-sensitive pattern has been increasingly undermined given that it is systematically violated on both zonal and regional scales as recently reported.Here,we approach the problem by exploring these violations in terms of eddy effects of spatiotemporal geostrophy,thermal fading,and flow dragging,yielding the following main conclusions.(1)The polarity-dependent deflection discrepancy is a pseudo feature resulting from a biased fit to the normalized eddy tracks which are spatially asymmetric(though azimuthally symmetric)between the two signs;Instead,the primary pattern of eddy deflection appears to be geographically correlated and polarity independent.(2)Geostrophic adjustment plays a critical role in defining the meridional movement of an eddy.Specifically,a consistent poleward(equatorward)trajectory bending of spatially(temporally)ageostrophic eddies is observed irrespective of their polarity.(3)The mechanism of eddy deflection is also determined by its zonal propagation direction.Westward propagating eddies are substantially affected by thermal fading,while opposite ones by flow dragging.A realistic and comprehensive understanding of eddy deflection mechanisms serves as a significant contribution to the prediction of eddy trajectory,and the protection of ocean environment.

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万方数据

Coupled conditional nonlinear optimal perturbations and their application to ENSO ensemble forecasts

Wansuo DUANLei HURong FENG

826-842页

查看更多>>摘要：Limitations are existed in current ensemble forecasting initial perturbation methods for describing the interactions among various spheres of the Earth system.In this study,a new method is proposed,namely,the coupled conditional nonlinear optimal perturbation(C-CNOP)method,which incorporates multisphere interactions much appropriately.The El Niño-Southern Oscillation(ENSO)is a typical ocean-atmosphere"coupling"(or"interaction")phenomenon.The C-CNOP method is applied to ensemble forecasting of ENSO.It is demonstrated that the C-CNOP method can generate coupled initial perturbations(CPs)that appropriately consider initial ocean-atmosphere coupling uncertainty for ENSO ensemble forecasts.Results reveal that the CPs effectively improve the ability of ENSO ensemble-mean forecasts in both temporal variability of Niño3.4 sea surface tem-perature anomalies(SSTAs)and spatial variability of ENSO mature-phase SSTAs.Notably,despite the weakest ocean-atmo-sphere coupling strength in the tropical Pacific occurring during the boreal spring and summer,CPs still capture the uncertainties of this weak coupling when ENSO predictions are initialized at these seasons.This performance of CPs significantly suppresses the rapid increase of ENSO prediction errors due to the high ocean-atmosphere coupling instability during these seasons,and thus effectively extends the lead time of skillful ENSO forecasting.Hence,the C-CNOP method is a suitable initial perturbation approach for ENSO ensemble forecast that can describe initial ocean-atmosphere coupling uncertainty.It is expected that the C-CNOP method plays a significant role in predictions of other high-impact climate phenomena,and even future Earth system predictions.

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万方数据
维普

Regional climate response to global warming in the source region of the Yellow River and its impact on runoff

Yiran ZHANGDegang ZHOUXiaofeng GUO

843-855页

查看更多>>摘要：The source region of the Yellow River has experienced obvious climate and discharge changes in recent decades due to global warming,which largely affects the water resources and ecological and environmental security in the Yellow River basin.This study analyzed the changes in runoff and several climate factors in the source region of the Yellow River based on the observed discharges at the Tangnag hydrological station,routine meteorological data from China Meteorological Administration(CMA)stations within and near this source region,and several evaporation datasets.The results indicate that the runoff in the source region was relatively abundant from 1960 to 1989 and then declined sharply afterward.It recovered slightly after 2005 but was still below normal-10％less than that during 1960-1989.Similarly,the precipitation amounts in the source region were relatively low in the 1990s,but they increased significantly after 2003,with an average increase of 31.4 mm or 6％more when compared to that in 1960-1989.In addition,the temperatures in the source region continued to rise from 1960 to 2017,and the evaporation levels also showed an upward trend after 1990.The influences of the spatial and temporal variations in climatic factors on runoff in the source region were then further analyzed.The results indicate that the decreases in precipitation and the number of days of heavy rainfall in the source region from 1990 to 2002 were important reasons for the lower runoff during this period.After 2003,the precipitation in the southeastern part of the source region,which is a key area for runoff generation,increased only to a limited extent,but the evaporation in the entire source region generally increased with increasing temperature,which might have led to the low capacity for actual runoff production in each subbasin and persistent low runoff in the source region.Therefore,such a climate response to global warming in the source region might be unfavorable for increased runoff in the future.The above analysis provides a valuable reference for the future planning and management of water resources in the source region of the Yellow River and the entire Yellow River Basin in the context of warming.

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万方数据
维普

Improvement of cloud microphysical parameterization and its advantages in simulating precipitation along the Sichuan-Xizang Railway

Xiaoqi XUZhiwei HENGYueqing LIShunjiu WANG...

856-873页

查看更多>>摘要：The Sichuan-Xizang Railway is an important part of the railway network in China,and geological disasters,such as mountain floods and landslides,frequently occur in this region.Precipitation is an important cause of these disasters;therefore,accurate simulation of the precipitation in this region is highly important.In this study,the descriptions for uncertain processes in the cloud microphysics scheme are improved;these processes include cloud droplet activation,cloud-rain autoconversion,rain accretion by cloud droplets,and the entrainment-mixing process.In the default scheme,the cloud water content of different sizes corresponds to the same cloud droplet concentration,which is inconsistent with the actual content;this results in excessive cloud droplet size,unreasonable related conversion rates of microphysical process(such as cloud-rain autoconversion),and an overestimation of precipitation.Our new scheme overcomes the problem of excessive cloud droplet size.The processes of cloud-rain autoconversion and rain accretion by cloud droplets are similar to the stochastic collection equation,and the mixing mechanism of cloud droplets is more consistent with that occurred during the actual physical process in the cloud.Based on the new and old schemes,multiple precipitation processes in the flood season of 2021 along the Sichuan-Xizang Railway are simulated,and the results are evaluated using ground observations and satellite data.Compared to the default scheme,the new scheme is more suitable for the simulation of cloud physics,reducing the simulation deviation of the liquid water path and droplet radius from 2 times to less than 1 time and significantly alleviating the overestimation of precipitation intensity and range of precipitation center.The average root-mean-square error is reduced by 22％.Our results can provide a scientific reference for improving precipitation forecasting and disaster prevention in this region.

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