|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Natural interdecadal weakening of East Asian summer monsoon in the late 20th century显示文摘Based on the reanalysis data throughout 1948―2002 as derived from the United States National Centers for Environmental Prediction and National Center for Atmos-pheric Research, it is revealed that East Asian summer mon-soon (EASM) intensity weakens on an interdecadal timescale since the mid-1960s, and twice interdecadal jumps are re-corded in the EASM intensity index series in the late 20th century, respectively occurring in the mid-1960s and mid- to late 1970s. Six globally coupled atmosphere-ocean models’ outputs under the SRES A2 greenhouse gas and aerosol emission scenario, provided by the IPCC Data Distribution Center and the Hadley Center for Climate Prediction and Research, are then systematically examined. It follows that the above EASM weakening is not closely related to synchro-nizing anthropogenic global warming, and, therefore, it should be qualitatively natural change process. Over the 21st century, the EASM intensity is likely increased slightly by continually intensified greenhouse effect relative to the late 20th century. | JIANG Dabang WANG Huijun | 2005 | Chinese Science Bulletin2005，50，17： | 38 |
| 2 | East Asian monsoon change for the 21st century: Results of CMIP3 and CMIP5 models显示文摘Forty-two climate models participating in the Coupled Model Intercomparison Project Phases 3 and 5 were first evaluated in terms of their ability to simulate the present climatology of the East Asian winter (December-February) and summer (June-August) monsoons. The East Asian winter and summer monsoon changes over the 21st century were then projected using the results of 31 and 29 reliable climate models under the Special Report on Emissions Scenarios (SRES) mid-range A1B scenario or the Representative Concentration Pathways (RCP) mid-low-range RCP4.5 scenario, respectively. Results showed that the East Asian winter monsoon changes little over time as a whole relative to the reference period 1980-1999. Regionally, it weakens (strengthens) north (south) of about 25°N in East Asia, which results from atmospheric circulation changes over the western North Pacific and Northeast Asia owing to the weakening and northward shift of the Aleutian Low, and from decreased north- west-southeast thermal and sea level pressure differences across Northeast Asia. In summer, monsoon strengthens slightly in East China over the 21st century as a consequence of an increased land-sea thermal contrast between the East Asian continent and the adjacent western North Pacific and South China Sea. | JIANG DaBang TIAN ZhiPing | 2013 | Chinese Science Bulletin2013，58，12： | 35 |
| 3 | Differences between CMIP6 and CMIP5 Models in Simulating Climate over China and the East Asian Monsoon显示文摘We compare the ability of coupled global climate models from the phases 5 and 6 of the Coupled Model Intercomparison Project(CMIP5 and CMIP6,respectively)in simulating the temperature and precipitation climatology and interannual variability over China for the period 1961–2005 and the climatological East Asian monsoon for the period 1979–2005.All 92 models are able to simulate the geographical distribution of the above variables reasonably well.Compared with earlier CMIP5 models,current CMIP6 models have nationally weaker cold biases,a similar nationwide overestimation of precipitation and a weaker underestimation of the southeast–northwest precipitation gradient,a comparable overestimation of the spatial variability of the interannual variability,and a similar underestimation of the strength of winter monsoon over northern Asia.Pairwise comparison indicates that models have improved from CMIP5 to CMIP6 for climatological temperature and precipitation and winter monsoon but display little improvement for the interannual temperature and precipitation variability and summer monsoon.The ability of models relates to their horizontal resolutions in certain aspects.Both the multi-model arithmetic mean and median display similar skills and outperform most of the individual models in all considered aspects. | Dabang JIANG Dan HU Zhiping TIAN and Xianmei LANG | 2020 | Advances in Atmospheric Sciences2020，37，10： | 28 |
| 4 | Future extreme climate changes linked to global warming intensity显示文摘Based on the Coupled Model Intercomparison Project Phase 5(CMIP5) daily dataset, we investigate changes of the terrestrial extreme climates given that the global mean temperature increases persistently under the Representative Concentration Pathways 8.5(RCP8.5) scenario. Compared to preindustrial conditions, more statistically significant extreme temperatures, precipitations, and dry spells are expected in the 21 st century. Cold extremes decrease and warm extremes increase in a warmer world, and cold extremes tend to be more sensitive to global warming than the warm ones. When the global mean temperature increases, cold nights, cold days, and warm nights all display nonlinear relationships with it,such as the weakening of the link projected after 3 °C global warming, while the other indices generally exhibit differently, with linear relationships. Additionally, the relative changes in the indices related to extreme precipitation show significantly consistent linear changes with the global warming magnitude.Compared with the precipitation extremes, changes in temperature extremes are more strongly related to the global mean temperature changes. For the projection of the extreme precipitation changes, models show higher uncertainty than that in extreme temperature changes, and the uncertainty for the precipitation extremes becomes more remarkable when the global warming exceeds 5 °C. | Xiaoxin Wang Dabang Jiang Xianmei Lang | 2017 | Science Bulletin2017，62，24： | 20 |
| 5 | Modeling the climate effects of different subregional uplifts within the Himalaya-Tibetan Plateau on Asian summer monsoon evolution显示文摘Considering the different uplifting time of different subregions of the Himalaya-Tibetan Plateau(TP),a series of numerical simulations have been conducted with the Community Atmosphere Model(CAM4) developed at the National Center for Atmospheric Research to explore the effects of the phased tectonic uplift of the Himalaya-TP on the evolution of Asian summer monsoons.The results show that the uplifts of the Himalaya and northern TP significantly affect the evolutions of South Asian summer monsoon and northern East Asian summer monsoon respectively.That is,the tectonic uplift of the Himalaya intensifies the South Asian summer monsoon circulation and increases the precipitation in South Asia,whereas the uplift of the northern TP intensifies the northern East Asian summer monsoon circulation and increases the precipitation in northern East Asia.Compared with previous simulations,current comparative analyses of modeling results for different subregional uplifts within the Himalaya-TP help deepen our understanding of the evolutionary history of Asian monsoons. | ZHANG Ran 1,JIANG DaBang 1,2,3,LIU XiaoDong 4 & TIAN ZhiPing 2,5 1 Climate Change Research Center,Chinese Academy of Sciences,Beijing 100029,China 2 Nansen-Zhu International Research Centre,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China 3 Key Laboratory of Regional Climate-Environment Research for Temperate East Asia,Chinese Academy of Sciences,Beijing 100029,China 4 State Key Laboratory of Loess and Quaternary Geology,Institute of Earth Environment,Chinese Academy of Sciences,Xi’an 710075,China 5 Graduate University of Chinese Academy of Sciences,Beijing 100049,China | 2012 | Chinese Science Bulletin2012，57，35： | 14 |
| 6 | Extraseasonal ensemble numerical predictions of winter climate over China显示文摘Using the nine-level Atmospheric General Circulation Model developed at the Institute of Atmospheric Physics (IAP9L-AGCM) under the Chinese Academy of Sciences, 30-year extraseasonal short-term ensemble hincast of winter climate is performed, with integrations starting from annual autumn during 1969—1998. Winter climate predictability over China is then evaluated for the first time. It follows that the predictability is higher in tropics than in extratropics. Also, it is higher over ocean compared with land, especially for surface air temperature. With height increasing in troposphere, the predictability of geopotential height slightly changes zonally, but for weakening of band-ship distribution and dropping near the date line. Of all analyzed variables, the prediction skill of air temperature and geopotential height (precipitation) is the highest (smallest). In addition, the predictability of winter climate over China and even East Asia enhances obviously during ENSO cycle, especially during La Nia phase. Simulation comparison against verifying analysis for surface temperature anomaly exhibits the model抯 skill in predicting surface temperature抯 interannual variation trend in winter. | LANG Xianmei, WANG Huijun & JIANG Dabang Nansen-Zhu International Research Center and LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China | 2003 | Chinese Science Bulletin2003，48，19： | 14 |
| 7 | Paleoclimate Modeling in China: A Review显示文摘This paper provides a review of paleoclimate modeling activities in China. Rather than attempt to cover all topics, we have chosen a few climatic intervals and events judged to be particularly informative to the international community. In historical climate simulations, changes in solar radiation and volcanic activity explain most parts of reconstructions over the last millennium prior to the industrial era, while atmospheric greenhouse gas concentrations play the most important role in the20 th century warming over China. There is a considerable model–data mismatch in the annual and boreal winter temperature change over China during the mid-Holocene [6000 years before present(ka BP)], while coupled models with an interactive ocean generally perform better than atmospheric models. For the Last Glacial Maximum(21 ka BP), climate models successfully reproduce the surface cooling trend over China but fail to reproduce its magnitude, with a better performance for coupled models. At that time, reconstructed vegetation and western Pacific sea surface temperatures could have significantly affected the East Asian climate, and environmental conditions on the Qinghai–Tibetan Plateau were most likely very different to the present day. During the late Marine Isotope Stage 3(30–40 ka BP), orbital forcing and Northern Hemisphere glaciation, as well as vegetation change in China, were likely responsible for East Asian climate change. On the tectonic scale,the Qinghai–Tibetan Plateau uplift, the Tethys Sea retreat, and the South China Sea expansion played important roles in the formation of the East Asian monsoon-dominant environment pattern during the late Cenozoic. | JIANG Dabang YU Ge ZHAO Ping CHEN Xing LIU Jian LIU Xiaodong WANG Shaowu ZHANG Zhongshi YU Yongqiang LI Yuefeng JIN Liya XU Ying JU Lixia ZHOU Tianjun YAN Xiaodong | 2015 | Advances in Atmospheric Sciences2015，32，2： | 12 |
| 8 | Climate Change of 4℃ Global Warming above Pre-industrial Levels显示文摘Using a set of numerical experiments from 39 CMIP5 climate models, we project the emergence time for 4?C global warming with respect to pre-industrial levels and associated climate changes under the RCP8.5 greenhouse gas concentration scenario. Results show that, according to the 39 models, the median year in which 4?C global warming will occur is 2084.Based on the median results of models that project a 4?C global warming by 2100, land areas will generally exhibit stronger warming than the oceans annually and seasonally, and the strongest enhancement occurs in the Arctic, with the exception of the summer season. Change signals for temperature go outside its natural internal variabilities globally, and the signal-tonoise ratio averages 9.6 for the annual mean and ranges from 6.3 to 7.2 for the seasonal mean over the globe, with the greatest values appearing at low latitudes because of low noise. Decreased precipitation generally occurs in the subtropics, whilst increased precipitation mainly appears at high latitudes. The precipitation changes in most of the high latitudes are greater than the background variability, and the global mean signal-to-noise ratio is 0.5 and ranges from 0.2 to 0.4 for the annual and seasonal means, respectively. Attention should be paid to limiting global warming to 1.5?C, in which case temperature and precipitation will experience a far more moderate change than the natural internal variability. Large inter-model disagreement appears at high latitudes for temperature changes and at mid and low latitudes for precipitation changes. Overall, the intermodel consistency is better for temperature than for precipitation. | Xiaoxin WANG Dabang JIANG Xianmei LANG | 2018 | Advances in Atmospheric Sciences2018，35，7： | 6 |
| 9 | Influence of Major Stratospheric Sudden Warming on the Unprecedented Cold Wave in East Asia in January 2021显示文摘An unprecedented cold wave intruded into East Asia in early January 2021 and led to record-breaking or historical extreme low temperatures over vast regions.This study shows that a major stratospheric sudden warming(SSW)event at the beginning of January 2021 exerted an important influence on this cold wave.The major SSW event occurred on 2 January 2021 and subsequently led to the displacement of the stratospheric polar vortex to the East Asian side.Moreover,the SSW event induced the stratospheric warming signal to propagate downward to the mid-to-lower troposphere,which not only enhanced the blocking in the Urals-Siberia region and the negative phase of the Arctic Oscillation,but also shifted the tropospheric polar vortex off the pole.The displaced tropospheric polar vortex,Ural blocking,and another downstream blocking ridge over western North America formed a distinct inverted omega-shaped circulation pattern(IOCP)in the East Asia-North Pacific sector.This IOCP was the most direct and impactful atmospheric pattern causing the cold wave in East Asia.The IOCP triggered a meridional cell with an upward branch in East Asia and a downward branch in Siberia.The meridional cell intensified the Siberian high and low-level northerly winds,which also favored the invasion of the cold wave into East Asia.Hence,the SSW event and tropospheric circulations such as the IOCP,negative phase of Arctic Oscillation,Ural blocking,enhanced Siberian high,and eastward propagation of Rossby wave eventually induced the outbreak of an unprecedented cold wave in East Asia in early January 2021. | Yingxian ZHANG Dong SI Yihui DING Dabang JIANG Qingquan LI Guofu WANG | 2022 | Advances in Atmospheric Sciences2022，39，4： | 5 |
| 10 | Interannual Climate Variability Change during the Medieval Climate Anomaly and Little Ice Age in PMIP3 Last Millennium Simulations显示文摘In this study, we analyzed numerical experiments undertaken by 10 climate models participating in PMIP3(Paleoclimate Modelling Intercomparison Project Phase 3) to examine the changes in interannual temperature variability and coefficient of variation(CV) of interannual precipitation in the warm period of the Medieval Climate Anomaly(MCA) and the cold period of the Little Ice Age(LIA). With respect to the past millennium period, the MCA temperature variability decreases by 2.0% on average over the globe, and most of the decreases occur in low latitudes. In the LIA, temperature variability increases by a global average of 0.6%, which occurs primarily in the high latitudes of Eurasia and the western Pacific. For the CV of interannual precipitation, regional-scale changes are more significant than changes at the global scale, with a pattern of increased(decreased) CV in the midlatitudes of Eurasia and the northwestern Pacific in the MCA(LIA). The CV change ranges from-7.0% to 4.3%(from -6.3% to 5.4%), with a global average of -0.5%(-0.07%) in the MCA(LIA).Also, the variability changes are considerably larger in December–January–February with respect to both temperature and precipitation. | Kaiqing YANG Dabang JIANG | 2017 | Advances in Atmospheric Sciences2017，34，4： | 4 |
| 11 | Influence of October Eurasian Snow on Winter Temperature over Northeast China显示文摘This paper addresses the interannual variation of winter air temperature over Northeast China and its connection to preceding Eurasian snow cover.The results show that there is a significant negative correlation between October Eurasian snow cover and following-winter air temperature over Northeast China.The snow cover located in eastern Siberia and to the northeast of Lake Baikal plays an important role in the winter air temperature anomaly.More(less)eastern Siberia snow in October can cause an atmospheric circulation anomaly pattern in which the atmospheric pressure is higher(lower)than normal in the polar region and lower(higher)in the northern mid-high latitudes.Due to the persistence of the eastern Siberia snow from October to the following winter,the winter atmospheric anomaly is favorable(unfavorable)to the widespread movement of cold air masses from the polar region toward the northern mid-high latitudes and,hence,lower(higher)temperature over Northeast China.Simultaneously,when the October snow cover is more(less),the SST in the northwestern Pacific is continuously lower(higher)as a whole; then,the Aleutian low and the East Asia trough are reinforced(weakened),favoring the lower(higher)temperature over Northeast China. | Huanlian LI Huijun WANG Dabang JIANG | 2017 | Advances in Atmospheric Sciences2017，34，1： | 4 |
| 12 | Impact of Vegetation Feedback on the Mid-Pliocene Warm Climate显示文摘Studying the vegetation feedback during warm periods of the past can lead to better understanding of those in the future.In this study, we conducted several simulations to analyze vegetation feedback during the mid-Pliocene warm period. The results indicate that the main features of vegetation change in the mid-Pliocene were a northward shift of needleleaf tree, an expansion of broadleaf tree and shrub, and a northward expansion of grass, as compared to the pre-industrial period. The global annual mean warming ratio caused by vegetation feedback was 12.1%, and this warming ratio was much larger in northern middle and high latitudes. The warming caused by vegetation change was directly related to the surface albedo change and was further amplified by snow/sea ice–albedo feedback. | ZHANG Ran JIANG Dabang | 2014 | Advances in Atmospheric Sciences2014，31，6： | 2 |
| 13 | A multi-model analysis of glacier equilibrium line altitudes in western China during the last glacial maximum显示文摘Based on numerical experiments undertaken with nine climate models, the glacier equilibrium line altitudes(ELAs)in western China during the last glacial maximum(LGM) are investigated to deepen our understanding of the surface environment on the Tibetan Plateau. Relative to the preindustrial period, the summer surface air temperatures decrease by 4–8°C while the annual precipitation decreases by an average of 25% across the Tibetan Plateau during the LGM. Under the joint effects of reductions in summer temperature and annual precipitation, the LGM ELAs in western China are lowered by magnitudes that vary with regions. The ELAs in the southern margin and northwestern Tibetan Plateau decline by approximately 1100 m;the central hinterland, by 650–800 m;and the eastern part, by 550–800 m, with a downward trend from southwest to northeast. The reduction in ELAs is no more than 650 m in the Tian Shan Mountains within China and approximately 500–600 m in the Qilian Mountains and Altai Mountains. The high-resolution models to reproduce the low values of no more than 500 m in ELA reductions in the central Tibetan Plateau, which are consistent with the proxy records from glacier remains. The accumulation zones of the Tibetan Plateau glaciers are mainly located in the marginal mountains during the LGM and have areas 2–5 times larger than those of the modern glaciers but still do not reach the central part. | Dabang JIANG Yeyi LIU Xianmei LANG | 2019 | Science China Earth Sciences2019，62，8： | 2 |
| 14 | Simulation of sea surface temperature changes in the Middle Pliocene warm period and comparison with reconstructions显示文摘The Middle Pliocene (ca 3.12–2.97 Ma) is a recent warm period in the Earth’s history. In many respects, the warmth of the Middle Pliocene is similar to the probable warm situation of the late 21st century predicted by climate models. Understanding the Middle Pliocene climate is important in predicting the future climate with global warming. Here, we used the latest reconstructions for the Middle Pliocene—Pliocene Research Interpretation and Synoptic Mapping (PRISM) version 3—to simulate the Middle Pliocene climate with a fully coupled model Fast Ocean Atmosphere Model. From comparison of the results of simulations with reconstructions, we considered two important scientific topics of Middle Pliocene climate modeling: extreme warming in the subpolar North Atlantic and a permanent El Ni?o in the tropical Pacific. Our simulations illustrate that the global annual mean sea surface temperature (SST) in the Middle Pliocene was about 2.3°C higher than that in the pre-industrial era. The warming was stronger at midand high latitudes than at low latitudes. The simulated SST changes agree with SST reconstructions in PRISM3 data, especially for the North Atlantic, North Pacific and west coast of South America. However, there were still discrepancies between the simulation of the SST and reconstructions for the subpolar North Atlantic and tropical Pacific. In the case of the Atlantic, the weakened meridional overturning circulation in the simulation did not support the reconstruction of the extremely warm condition in the subpolar North Atlantic. In the case of the tropical Pacific, the whole ocean warmed, especially the eastern tropical Pacific, which did not support the permanent El Ni?o suggested by the reconstruction. From evaluation of the modeling and reconstruction, we suggest that the above discrepancies were due to uncertainties in reconstructions, difficulties in paleoclimate modeling and deficiencies of climate models. The discrepancies should be reduced through consideration of both the modeling and data. | YAN Qing ZHANG ZhongShi WANG HuiJun JIANG DaBang ZHENG WeiPeng | 2011 | Chinese Science Bulletin2011，56，9： | 2 |
| 15 | Mid-Holocene East Asian summer climate as simulated by the PMIP2 models显示文摘 | Wang Tao Wang Huijun Jiang Dabang | 2010 | Palaeogeography, Palaeoclimatology, Palaeoecology2010，，1： | 2 |
| 16 | Evaluation of East Asian Summer Climate Prediction from the CESM Large-Ensemble Initialized Decadal Prediction Project显示文摘Based on surface air temperature and precipitation observation data and NCEP/NCAR atmospheric reanalysis data,this study evaluates the prediction of East Asian summer climate during 1959–2016 undertaken by the CESM(Community Earth System Model)large-ensemble initialized decadal prediction(CESM-DPLE)project.The results demonstrate that CESM-DPLE can reasonably capture the basic features of the East Asian summer climate and associated main atmospheric circulation patterns.In general,the prediction skill is quite high for surface air temperature,but less so for precipitation,on the interannual timescale.CESM-DPLE reproduces the anomalies of mid-and highlatitude atmospheric circulation and the East Asian monsoon and climate reasonably well,all of which are attributed to the teleconnection wave train driven by the Atlantic Multidecadal Oscillation(AMO).A transition into the warm phase of the AMO after the late 1990s decreased the geopotential height and enhanced the strength of the monsoon in East Asia via the teleconnection wave train during summer,leading to excessive precipitation and warming over East Asia.Altogether,CESM-DPLE is capable of predicting the summer temperature in East Asia on the interannual timescale,as well as the interdecadal variations of East Asian summer climate associated with the transition of AMO phases in the late 1990s,albeit with certain inadequacies remaining.The CESM-DPLE project provides an important resource for investigating and predicting the East Asian climate on the interannual and decadal timescales. | Dabang JIANG Dong SI Xianmei LANG | 2020 | Journal of Meteorological Research2020，34，2： | 2 |
| 17 | Assessment of CMIP6 model performance for temperature and precipitation in Xinjiang,China显示文摘作者使用国际耦合模式比较计划第六阶段(CMIP6)的历史模拟试验数据,评估了42个全球气候模式对1995–2014年新疆温度和降水气候态的模拟能力.结果表明,CMIP6模式能够合理模拟新疆年和季节的温度和降水气候态的空间分布.相较于观测,多模式中位数的年均,春季,夏季,秋季和冬季区域平均温度偏差分别为0.1℃,-1.6℃,0.5℃,-0.2℃和1.3℃;模式普遍高估新疆降水,区域平均偏差分别为89%,256%,-3%,84%和258%.定量化的评估表明,大多数模式模拟的新疆温度和降水空间变率偏大;42个模式中位数和算数平均的模拟能力与29个优选模式的近似,并且好于大多数单个模式. | Xiaolu Zhang Lijuan Hua Dabang Jiang | 2022 | Atmospheric and Oceanic Science Letters2022，15，2： | 2 |
| 18 | Fractal geometry of particle aggregates generated in water and wastewater treatment process显示文摘 | Li Dabang | 1989 | Environmental Science and Technology1989，11，： | 1 |
| 19 | Simulation of the Last Glacial Maximum climate over East Asia with a regional climate model nested in a general circulation model显示文摘 | Lixia Ju Huijun Wang Dabang Jiang | 2007 | Palaeogeography Palaeoclimatology Palaeoecology2007，，3： | 1 |
| 20 | Fractal geometry of particle aggregates generated in water and wastewater treatment process显示文摘 | Li Dabang | 1989 | Environmental Science and Technology1989，11，： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员