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| 1 | The Sunway TaihuLight supercomputer: system and applications显示文摘The Sunway Taihu Light supercomputer is the world's first system with a peak performance greater than 100 PFlops. In this paper, we provide a detailed introduction to the Taihu Light system. In contrast with other existing heterogeneous supercomputers, which include both CPU processors and PCIe-connected many-core accelerators(NVIDIA GPU or Intel Xeon Phi), the computing power of Taihu Light is provided by a homegrown many-core SW26010 CPU that includes both the management processing elements(MPEs)and computing processing elements(CPEs) in one chip. With 260 processing elements in one CPU, a single SW26010 provides a peak performance of over three TFlops. To alleviate the memory bandwidth bottleneck in most applications, each CPE comes with a scratch pad memory, which serves as a user-controlled cache. To support the parallelization of programs on the new many-core architecture, in addition to the basic C/C++and Fortran compilers, the system provides a customized Sunway Open ACC tool that supports the Open ACC2.0 syntax. This paper also reports our preliminary efforts on developing and optimizing applications on the Taihu Light system, focusing on key application domains, such as earth system modeling, ocean surface wave modeling, atomistic simulation, and phase-field simulation. | Haohuan FU Junfeng LIAO Jinzhe YANG Lanning WANG Zhenya SONG Xiaomeng HUANG Chao YANG Wei XUE Fangfang LIU Fangli QIAO Wei ZHAO Xunqiang YIN Chaofeng HOU Chenglong ZHANG Wei GE Jian ZHANG Yangang WANG Chunbo ZHOU Guangwen YANG | 2016 | Science China(Information Sciences)2016，59，7： | 45 |
| 2 | Predicting the spread of nuclear radiation from the damaged Fukushima Nuclear Power Plant显示文摘Japan suffered a M9.0 earthquake and massive tsunami on March 11, 2011, which seriously damaged the Fukushima Nuclear Power Plant and caused a nuclear crisis. The spread of nuclear radiation from the power plant through the atmosphere and ocean was predicted with a short-term climate forecasting model and an ocean circulation model under some idealized assumptions. If nuclear matter were leaked in the near-ground layer of 992 hPa, the climate model results show that the nuclear radiation would cover North America 10 days after the initial leakage, with the concentration at the forefront dramatically reduced to 10 millionths of the initial model concentration at the source. The radiation would span Europe in 15 days and cover much of the Northern Hemisphere in 30 days. If the initial leakage was assumed to occur in the layer 5000-m above the ground, the radiation would cover Europe in 10 days and cover much of the Northern Hemisphere in 15 days. Moreover, under the assumption that the nuclear matter leaked in the 10000-m layer, the radiation would affect much of China after 10 days. The ocean circulation model indicates that the nuclear material would be slowly transported northeast of Fukushima and reach 150°E in 50 days, and the nuclear debris in the ocean would be confined to a narrow band. Compared with the spread in the ocean, the area affected by leaked nuclear radiation in the atmosphere would be very large. Atmospheric monitors in North America and Europe will be helpful for estimating the effect in China of any leaked nuclear material. | QIAO FangLi WANG GuanSuo ZHAO Wei ZHAO JieChen DAI DeJun SONG YaJuan SONG ZhenYa | 2011 | Chinese Science Bulletin2011，56，18： | 18 |
| 3 | An improvement of the too cold tongue in the tropical Pacific with the development of an ocean-wave-atmosphere coupled numerical model显示文摘在没有流动修正的联合海洋空气将军发行量模型(CGCM ) 的申请的一个普通问题是模仿的赤道的冷舌头一般来说趋于太强壮,狭窄,并且向西延长太远。原因还很好没被理解。一个可能的原因可以是模仿的混合的层深度(MLD ) 由于在 OGCM 的不够的垂直混合在热带太平洋是太浅的。导致波浪的垂直混合罐头极大地改进 MLD 和 thermocline 结构的模拟,这被相信。在这研究,与导致波浪的混合合并的联合海洋空气将军发行量模特儿(FGCM-0 ) 被雇用了模仿热带和平的海表面温度(SST ) 。通常,因为,导致波浪的混合在 OGCM 降低 SST 加强的垂直混合能向上带更多的冷水。在联合模型,然而,在 SST 落下的空间分发的不一致产生海表面空气压力的一个水平坡度,并且因此产出表面风领域异例。风异例导致两个海洋表面发行量异例,并且在能制止的 welling 异例下面过分向西在热带太平洋的冷舌头的扩展。与从原来的模型(FGCM-0 ) 的模型结果相比,建模的 SST 由超过 0.8 ° C 是更高的,与在西方的太平洋的 1.2 ° C 的最大值(160-180 ° E, 0-3 ° N ) 。26.0 ° C 的等温线的东方边界也从 165 ° E 搬到 180 ° E。过分,向西,模仿的赤道的冷舌头的扩展与在联合模型的导致波浪的混合的加入被压制。模仿的 SST 表演一般来说与超过 1 的最大的改进改进了结果。0 ° C。在向北热带的太平洋的模仿的 SST 改进比向南热带的太平洋的好一些。 | Song Zhenya Qiao Fangli Yang Yongzeng Yuan Yeli | 2007 | Progress in Natural Science:Materials International2007，17，5： | 13 |
| 4 | The correctness to the spuriously simulated semi-annual cycle of the sea surface temperature in the equatorial eastern Pacific显示文摘One of the challenges faced by the climate model of the Community Climate System Model version 3 (CCSM3) is the spuriously simulated semi-annual cycle of the sea surface temperature (SST) in the equatorial eastern Pacific. This model bias has limited the performance of the climate simulation and prediction. Based on the surface wave-circulation coupled theory, an atmosphere-wave-ocean coupled model was developed, which incorporates the MASNUM (key laboratory of Marine Sciences and Numerical Modeling) wave number spectral model into CCSM3. The new coupled atmosphere-wave-ocean model successfully removes the spurious semi-annual cycle simulated by the original CCSM3 and reasonably produces an SST annual cycle with warm and cold phases in April and August, respectively. The correlation between the simulated and observed SST in the equatorial eastern Pacific is improved from 0.66 to 0.93. The ocean surface layer heat budget analysis indicates that the wave-induced vertical mixing is responsible for improving the simulation of the SST seasonal cycle in the equatorial eastern Pacific. | SONG ZhenYa QIAO FangLi WANG ChunZai | 2011 | Science China Earth Sciences2011，54，3： | 10 |
| 5 | The prediction on the 2015/16 El Nino event from the perspective of FIO-ESM显示文摘Recently atmospheric and oceanic observations indicate the tropical Pacific is at the El Ni?o condition. However,it's not clear whether this El Ni?o event of this year is comparable to the very strong one of 1997/98 which brought huge influence on the whole world. In this study, based on the Ensemble Adjusted Kalman Filter(EAKF)assimilation scheme and First Institute of Oceanography-Earth System Model(FIO-ESM), the assimilation system is setup, which can provide reasonable initial conditions for prediction. And the hindcast results suggest the skill of El Ni?o-Southern Oscillation(ENSO) prediction is comparable to other dynamical coupled models. Then the prediction for 2015/16 El Ni?o by using FIO-ESM is started from 1 November 2015. The ensemble results indicate that the 2015/16 El Ni?o will continue to be strong. By the end of 2015, the strongest strength is very like more than 2.0°C and the ensemble mean strength is 2.34°C, which indicates 2015/16 El Ni?o event will be very strong but slightly less than that of 1997/98 El Ni?o event(2.40°C) calculated relative a climatology based on the years1992–2014. The prediction results also suggest 2015/16 El Ni?o event will be a transition to ENSO-neutral level in the early spring(FMA) 2016, and then may transfer to La Ni?a in summer 2016. | SONG Zhenya SHU Qi BAO Ying YIN Xunqiang QIAO Fangli | 2015 | Acta Oceanologica Sinica2015，34，12： | 6 |
| 6 | The effect of the wave-induced mixing on the upper ocean temperature in a climate model显示文摘The significant underestimation of sea surface temperature(SST)and the temperature in the upper ocean is one of common problems in present climate models.The influence of the wave-induced mixing on SST and the temperature in the upper ocean was examined based on a global climate model.The results from the model coupled with wave-induced mixing showed a significant improvement in the simulation of SST and the temperature in the upper ocean compared with those of the original model without wave effects.Although there has still a cold bias,the new simulation is much closer to the climatology,especially in the northern ocean and tropical ocean.This study indicates that some important physical processes in the accurate simulation of the ocean may be ignored in present climate models,and the wave-induced mixing is one of those factors.Thus,the wave-induced mixing(or the effect of surface waves)should be incorporated properly into climate models in order to simulate or forecast the ocean,then climate system,more accurately. | HUANG Chuanjiang QIAO Fangli SONG Zhenya | 2008 | Acta Oceanologica Sinica2008，27，3： | 5 |
| 7 | Could CMIP6 climate models reproduce the early-2000s global warming slowdown?显示文摘The unexpected global warming slowdown during 1998–2013 challenges the existing scientific understanding of global temperature change mechanisms,and thus the simulation and prediction ability of state-of-the-art climate models since most models participating in phase 5 of the Coupled Model Intercomparison Project(CMIP5)cannot simulate it.Here,we examine whether the new-generation climate models in CMIP6 can reproduce the recent global warming slowdown,and further evaluate their capacities for simulating key-scale natural variabilities which are the most likely causes of the slowdown.The results show that although the CMIP6 models present some encouraging improvements when compared with CMIP5,most of them still fail to reproduce the warming slowdown.They considerably overestimate the warming rate observed in 1998–2013,exhibiting an obvious warming acceleration rather than the observed deceleration.This is probably associated with their deficiencies in simulating the distinct temperature change signals from the human-induced long-term warming trend and/or the three crucial natural variabilities at interannual,interdecadal,and multidecadal scales.In contrast,the 4 models that can successfully reproduce the slowdown show relatively high skills in simulating the long-term warming trend and the three keyscale natural variabilities.Our work may provide important insight for the simulation and prediction of near-term climate changes. | Meng WEI Qi SHU Zhenya SONG Yajuan SONG Xiaodan YANG Yongqing GUO Xinfang LI Fangli QIAO | 2021 | Science China Earth Sciences2021，64，6： | 5 |
| 8 | A review of progress in coupled ocean-atmosphere model developments for ENSO studies in China显示文摘El Nino-Southern Oscillation(ENSO) is the strongest interannual signal that is producedby basinscale processes in the tropical Pacific,with significant effects on weather and climate worldwide.In the past,extensive and intensive international efforts have been devoted to coupled model developments for ENSO studies.A hierarchy of coupled ocean-atmo sphere models has been formulated;in terms of their complexity,they can be categorized into intermediate coupled models(ICMs),hybrid coupled models(HCMs),and fully coupled general circulation models(CGCMs).ENSO modeling has made significant progress over the past decades,reaching a stage where coupled models can now be used to successfully predict ENSO events 6 months to one year in advance.Meanwhile,ENSO exhibits great diversity and complexity as observed in nature,which still cannot be adequately captured by current state-of-the-art coupled models,presenting a challenge to ENSO modeling.We primarily reviewed the long-term efforts in ENSO modeling continually and steadily made at different institutions in China;some selected representative examples are presented here to review the current status of ENSO model developments and applications,which have been actively pursued with noticeable progress being made recently.As ENSO simulations are very sensitive to model formulations and process representations etc.,dedicated efforts have been devoted to ENSO model developments and improvements.Now,different ocean-atmosphere coupled models have been available in China,which exhibit good model performances and have already had a variety of applications to climate modeling,including the Coupled Model Intercomparison Project Phase 6(CMIP6).Nevertheless,large biases and uncertainties still exist in ENSO simulations and predictions,and there are clear rooms for their improvements,which are still an active area of researches and applications.Here,model performances of ENSO simulations are assessed in terms of advantages and disadvantages with these differently formulated coupled models,pinpointing to the areas where they need to be further improved for ENSO studies.These analyses provide valuable guidance for future improvements in ENSO simulations and predictions. | ZHANG Rong-Hua YU Yongqiang SONG Zhenya REN Hong-Li TANG Youmin QIAO Fangli WU Tongwen GAO Chuan HU Junya TIAN Feng ZHU Yuchao CHEN Lin LIU Hailong LIN Pengfei WU Fanghua WANG Lin | 2020 | Journal of Oceanology and Limnology2020，38，4： | 4 |
| 9 | Inflammasomes as therapeutic targets in human diseases显示文摘Inflammasomes are protein complexes of the innate immune system that initiate inflammation in response to either exogenous pathogens or endogenous danger signals.Inflammasome multiprotein complexes are composed of three parts:a sensor protein,an adaptor,and pro-caspase-1.Activation of the inflammasome leads to the activation of caspase-1,which cleaves pro-inflammatory cytokines such as IL-ip and IL-18,leading to pyroptosis.Effectors of the inflammasome not only provide protection against infectious pathogens,but also mediate control over sterile insults.Aberrant inflammasome signaling has been implicated in the development of cardiovascular and metabolic diseases,cancer,and neurodegenerative disorders.Here,we review the role of the inflammasome as a double-edged sword in various diseases,and the outcomes can be either good or bad depending on the disease,as well as the genetic background.We highlight inflammasome memory and the two-shot activation process.We also propose the M-and N-type inflammation model,and discuss how the inflammasome pathway may be targeted for the development of novel therapy. | Yangxin Li Hui Huang Bin Liu Yu Zhang Xiangbin Pan Xi-Yong Yu Zhenya Shen Yao-Hua Song | 2021 | Signal Transduction and Targeted Therapy2021，6，8： | 3 |
| 10 | Historical simulation and twenty-first century prediction of oceanic CO_2 sink and pH change显示文摘A global ocean carbon cycle model based on the ocean general circulation model POP and the improved biogeochemical model OCMIP-2 is employed to simulate carbon cycle processes under the historically observed atmospheric CO 2 concentration and different future scenarios (called Rep- resentative Concentration Pathways, or RCPs). The RCPs in this paper follow the design of Inter- governmental Panel on Climate Change (IPCC) for the Fifth Assessment Report (AR5). The model results show that the ocean absorbs CO 2 from atmosphere and the absorbability will continue in the 21st century under the four RCPs. The net air-sea CO 2 flux increased during the historical time and reached 1.87 Pg/a (calculated by carbon) in 2005; however, it would reach peak and then decrease in the 21st century. The ocean absorbs CO 2 mainly in the mid latitude, and releases CO 2 in the equator area. However, in the Antarctic Circumpolar Current (ACC) area the ocean would change from source to sink under the rising CO 2 concentration, including RCP4.5, RCP6.0, and RCP8.5. In 2100, the anthropogenic carbon would be transported to the 40 S in the Atlantic Ocean by the North Atlantic Deep Water (NADW), and also be transported to the north by the Antarctic Bottom Water (AABW) along the Antarctic continent in the Atlantic and Pacific oceans. The ocean pH value is also simulated by the model. The pH decreased by 0.1 after the industrial revolution, and would continue to decrease in the 21st century. For the highest concentration sce- nario of RCP8.5, the global averaged pH would decrease by 0.43 to reach 7.73 due to the absorption of CO 2 from atmosphere. | BAO Ying QIAO Fangli SONG Zhenya | 2012 | Acta Oceanologica Sinica2012，31，5： | 3 |
| 11 | High efficient parallel numerical surface wave model based on an irregular quasi-rectangular domain decomposition scheme显示文摘To achieve high parallel efficiency for the global MASNUM surface wave model, the algorithm of an irregular quasirectangular domain decomposition and related serializing of calculating points and data exchanging schemes are developed and conducted, based on the environment of Message Passing Interface(MPI). The new parallel version of the surface wave model is tested for parallel computing on the platform of the Sunway BlueLight supercomputer in the National Supercomputing Center in Jinan. The testing involves four horizontal resolutions, which are 1°×1°,(1/2)°×(1/2)°,(1/4)°×(1/4)°, and(1/8)°×(1/8)°. These tests are performed without data Input/Output(IO) and the maximum amount of processors used in these tests reaches to 131072. The testing results show that the computing speeds of the model with different resolutions are all increased with the increasing of numbers of processors. When the number of processors is four times that of the base processor number, the parallel efficiencies of all resolutions are greater than 80%. When the number of processors is eight times that of the base processor number, the parallel efficiency of tests with resolutions of 1°×1°,(1/2)°×(1/2)° and(1/4)°×(1/4)° is greater than 80%, and it is 62% for the test with a resolution of(1/8)°×(1/8)° using 131072 processors, which is the nearly all processors of Sunway BlueLight. When the processor's number is 24 times that of the base processor number, the parallel efficiencies for tests with resolutions of 1°×1°,(1/2)°×(1/2)°, and(1/4)°×(1/4)° are 72%, 62%, and 38%, respectively. The speedup and parallel efficiency indicate that the irregular quasi-rectangular domain decomposition and serialization schemes lead to high parallel efficiency and good scalability for a global numerical wave model. | ZHAO Wei SONG ZhenYa QIAO FangLi YIN XunQiang | 2014 | Science China Earth Sciences2014，57，8： | 3 |
| 12 | A comparison of two global ocean-ice coupled models with different horizontal resolutions显示文摘A global eddy-permitting ocean-ice coupled model with a horizontal resolution of 0.25 by 0.25 is established on the basis of Modular Ocean Model version 4 (MOM4) and Sea Ice Simulator (SIS). Simulation results are compared with those of an intermediate resolution ocean-ice coupled model with a horizontal resolution of about 1 by 1 . The results show that the simulated ocean temperature, ocean current and sea ice concentration from the eddy-permitting model are better than those from the intermediate resolution model. However, both the two models have the common problem of ocean general circulation models (OGCMs) that the majority of the simulated summer sea surface temperature (SST) is too warm while the majority of the simulated subsurface summer temperature is too cold. Further numerical experiments show that this problem can be alleviated by incorporating the non-breaking surface wave-induced vertical mixing into the vertical mixing scheme for both eddy-permitting and intermediate resolution models. | SHU Qi QIAO Fangli SONG Zhenya YIN Xunqiang | 2013 | Acta Oceanologica Sinica2013，32，8： | 2 |
| 13 | Eastern equatorial Pacific SST seasonal cycle in global climate models: from CMIP5 to CMIP6显示文摘The sea surface temperature(SST)seasonal cycle in the eastern equatorial Pacific(EEP)plays an important role in the El Nino–Southern Oscillation(ENSO)phenomenon.However,the reasonable simulation of SST seasonal cycle in the EEP is still a challenge for climate models.In this paper,we evaluated the performance of 17 CMIP6 climate models in simulating the seasonal cycle in the EEP and compared them with 43 CMIP5 climate models.In general,only CESM2 and SAM0-UNICON are able to successfully capture the annual mean SST characteristics,and the results showed that CMIP6 models have no fundamental improvement in the model annual mean bias.For the seasonal cycle,14 out of 17 climate models are able to represent the major characteristics of the observed SST annual evolution.In spring,12 models capture the 1–2 months leading the eastern equatorial Pacific region 1(EP1;5°S–5°N,110°–85°W)against the eastern equatorial Pacific region 2(EP2;5°S–5°N,140°–110°W).In autumn,only two models,GISS-E2-G and SAM0-UNICON,correctly show that the EP1 and EP2 SSTs vary in phase.For the CMIP6 MME SST simulation in EP1,both the cold bias along the equator in the warm phase and the warm bias in the cold phase lead to a weaker annual SST cycle in the CGCMs,which is similar to the CMIP5 results.However,both the seasonal cold bias and warm bias are considerably decreased for CMIP6,which leads the annual SST cycle to more closely reflect the observation.For the CMIP6 MME SST simulation in EP2,the amplitude is similar to the observed value due to the quasi-constant cold bias throughout the year,although the cold bias is clearly improved after August compared with CMIP5 models.Overall,although SAM0-UNICON successfully captured the seasonal cycle characteristics in the EEP and the improvement from CMIP5 to CMIP6 in simulating EEP SST is clear,the fundamental climate models simulated biases still exist. | Zhenya Song Hailong Liu Xingrong Chen | 2020 | Acta Oceanologica Sinica2020，39，7： | 2 |
| 14 | Study of an ele- vated carbohydrate antigen 19-9 concentration in a large health check-up cohort in China显示文摘 | Tong Yuling Song Zhenya Zhu Weihua | 2013 | Clinical Chemistry and Laboratory Medicine : CCLM/FESCC2013，51，7： | 1 |
| 15 | Camera Calibration by Vanishing Point and Cross Ratio显示文摘 | Wei Guoqing He Zhenya Ma Song de | 1989 | Proc Ⅰ2 CASSP IEEE Int Conf Aooust Speech Signal Process1989，5，： | 1 |
| 16 | Arctic sea ice concentration and thickness data assimilation in the FIO-ESM climate forecast system显示文摘To improve the Arctic sea ice forecast skill of the First Institute of Oceanography-Earth System Model(FIO-ESM)climate forecast system,satellite-derived sea ice concentration and sea ice thickness from the Pan-Arctic IceOcean Modeling and Assimilation System(PIOMAS)are assimilated into this system,using the method of localized error subspace transform ensemble Kalman filter(LESTKF).Five-year(2014–2018)Arctic sea ice assimilation experiments and a 2-month near-real-time forecast in August 2018 were conducted to study the roles of ice data assimilation.Assimilation experiment results show that ice concentration assimilation can help to get better modeled ice concentration and ice extent.All the biases of ice concentration,ice cover,ice volume,and ice thickness can be reduced dramatically through ice concentration and thickness assimilation.The near-real-time forecast results indicate that ice data assimilation can improve the forecast skill significantly in the FIO-ESM climate forecast system.The forecasted Arctic integrated ice edge error is reduced by around 1/3 by sea ice data assimilation.Compared with the six near-real-time Arctic sea ice forecast results from the subseasonal-toseasonal(S2 S)Prediction Project,FIO-ESM climate forecast system with LESTKF ice data assimilation has relatively high Arctic sea ice forecast skill in 2018 summer sea ice forecast.Since sea ice thickness in the PIOMAS is updated in time,it is a good choice for data assimilation to improve sea ice prediction skills in the near-realtime Arctic sea ice seasonal prediction. | Qi Shu Fangli Qiao Jiping Liu Zhenya Song Zhiqiang Chen Jiechen Zhao Xunqiang Yin Yajuan Song | 2021 | Acta Oceanologica Sinica2021，40，10： | 1 |
| 17 | Observation of atmospheric methane in the Arctic Ocean up to 87° north显示文摘Although the Arctic methane reservoir is large,the emission of methane from the Arctic Ocean into the atmosphere remains poorly constrained.Continuous ship-borne measurements of atmospheric methane near the surface ocean were carried out during two cruises to investigate methane emission from the Arctic Ocean up to the latitude of 87°N.Three-day air mass back trajectories along the cruise tracks indicated that the surface Arctic Ocean could be a potentially important source of methane to the atmosphere.Rapid bursts in methane concentration occurred mainly along the ocean frontal area,suggesting that frontal upwelling in the upper layer of the Arctic Ocean might contribute to methane emissions into the atmosphere. | ZHANG Min QIAO FangLi SONG ZhenYa | 2017 | Science China Earth Sciences2017，60，1： | 1 |
| 18 | Speed Control of Stepwise Feeding and Dropping Material Prediction of Weighting and Batching Process for Multi-variety Materials显示文摘 | Zhenya Duan Guanying Song Bailin Hang | 2014 | International Journal of Innovative Computing Information and Control2014，10，5： | 1 |
| 19 | The role of bias correction on subseasonal prediction of Arctic sea ice during summer 2018显示文摘Subseasonal Arctic sea ice prediction is highly needed for practical services including icebreakers and commercial ships,while limited by the capability of climate models.A bias correction methodology in this study was proposed and performed on raw products from two climate models,the First Institute Oceanography Earth System Model(FIOESM)and the National Centers for Environmental Prediction(NCEP)Climate Forecast System(CFS),to improve 60 days predictions for Arctic sea ice.Both models were initialized on July 1,August 1,and September 1 in 2018.A 60-day forecast was conducted as a part of the official sea ice service,especially for the ninth Chinese National Arctic Research Expedition(CHINARE)and the China Ocean Shipping(Group)Company(COSCO)Northeast Passage voyages during the summer of 2018.The results indicated that raw products from FIOESM underestimated sea ice concentration(SIC)overall,with a mean bias of SIC up to 30%.Bias correction resulted in a 27%improvement in the Root Mean Square Error(RMSE)of SIC and a 10%improvement in the Integrated Ice Edge Error(IIEE)of sea ice edge(SIE).For the CFS,the SIE overestimation in the marginal ice zone was the dominant features of raw products.Bias correction provided a 7%reduction in the RMSE of SIC and a 17%reduction in the IIEE of SIE.In terms of sea ice extent,FIOESM projected a reasonable minimum time and amount in mid-September;however,CFS failed to project both.Additional comparison with subseasonal to seasonal(S2S)models suggested that the bias correction methodology used in this study was more effective when predictions had larger biases. | Jiechen Zhao Qi Shu Chunhua Li Xingren Wu Zhenya Song Fangli Qiao | 2020 | Acta Oceanologica Sinica2020，39，9： | 1 |
| 20 | Effect of increasing Arctic river runoff on the Atlantic meridional overturning circulation:a model study显示文摘An increasing amount of freshwater has been observed to enter the Arctic Ocean from the six largest Eurasian rivers over the past several decades.The increasing trend is projected to continue in the twenty-first century according to Coupled Model Intercomparison Project Phase 5(CMIP5) coupled models.The present study found that water flux from rivers to the Arctic Ocean at the end of the century will be 1.4 times that in 1950 according to CMIP5 projection results under Representative Concentration Pathway 8.5.The effect of increasing Arctic river runoff on the Atlantic meridional overturning circulation(AMOC) was investigated using an ocean-ice coupled model.Results obtained from two numerical experiments show that 100,150 and 200 years after the start of an increase in the Arctic river runoff at a rate of 0.22%/a,the AMOC will weaken by 0.6(3%),1.2(7%) and 1.8(11%)Sv.AMOC weakening is mainly caused by freshwater transported from increasing Arctic river runoff inhibiting the formation of North Atlantic Deep Water(NADW).As the AMOC weakens,the deep seawater age will become older throughout the Atlantic Basin owing to the increasing of Arctic runoff. | SHU Qi QIAO Fangli SONG Zhenya XIAO Bin | 2017 | Acta Oceanologica Sinica2017，36，8： | 0 |
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