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| 1 | 冰冻圈变化及其对中国气候的影响显示文摘冰冻圈是全球气候变化的显著因子和指示器,也是对气候系统影响最直接和最敏感的圈层,在地球气候系统中占据举足轻重的地位。在全球变暖背景下,冰冻圈研究受到前所未有的重视,成为气候系统研究中最活跃的领域之一;冰冻圈变化正在引起的一系列社会经济影响是当前全球变化和可持续发展最为关注的热点之一。文中给出了气候变暖背景下近几十年来全球和中国冰冻圈的变化特征,以及未来可能的变化趋势;着重从气候效应角度,综述了青藏高原和欧亚积雪、北极和南极海冰、冻土与冰川变化对中国气候影响的研究成果;并讨论了中国冰冻圈科学研究的未来发展方向。 | 秦大河 周波涛 效存德 | 2014 | 气象学报2014，72，5： | 70 |
| 2 | Simulated change in the near-surface soil freeze/thaw cycle on the Tibetan Plateau from 1981 to 2010显示文摘The near-surface freeze/thaw cycle in cold regions plays a major role in the surface energy budget,hydrological activity,and terrestrial ecosystems.In this study,the Community Land Model,Version 4 and a suite of high-resolution atmospheric data were used to investigate the changes in the near-surface soil freeze/thaw cycle in response to the warming on the Tibetan Plateau from1981 to 2010.The in situ observations-based validation showed that,considering the cause of scale mismatch in the comparison,the simulated soil temperature,freeze start and end dates,and freeze duration at the near-surface were reasonable.In response to the warming of the Tibetan Plateau at a rate of approximately 0.44°C decade-1,the freeze start-date became delayed at an area-mean rate of1.7 days decade-1,while the freeze end-date became advanced at an area-mean rate of 4.7 days decade-1.The delaying of the freeze start-date,which was combined with the advancing of the freeze end-date,resulted in a statistically significant shortening trend with respect to the freeze duration,at an area-mean rate of 6.4 days decade-1.Such changes would strongly affect the surface energy flux,hydrological processes,and vegetation dynamics.We also found that the rate of freeze-duration shortening at the near-surface soil layer was approximately 3.0 days decade-1lower than that at a depth of 1 m.This implied that the changes in soil freeze/thaw cycles at the near surface cannot be assumed to reflect the situation in deeper soil layers.The significant correlations between freeze duration and air temperature indicated that the shortening of the near-surface freeze duration was caused by the rise in air temperature,which occurred especially in spring,followed by autumn.These results can be used to reveal the laws governing the response of the near-surface freeze/thaw cycle to climate change and indicate related changes in permafrost. | Donglin Guo Huijun Wang | 2014 | Chinese Science Bulletin2014，59，20： | 19 |
| 3 | The CAMS Climate System Model and a Basic Evaluation of Its Climatology and Climate Variability Simulation显示文摘A new coupled climate system model(CSM) has been developed at the Chinese Academy of Meteorological Sciences(CAMS) by employing several state-of-the-art component models. The coupled CAMS-CSM consists of the modified atmospheric model [ECmwf-HAMburg(ECHAM5)], ocean model [Modular Ocean Model(MOM4)], sea ice model [Sea Ice Simulator(SIS)], and land surface model [Common Land Model(CoLM)]. A detailed model description is presented and both the pre-industrial and 'historical' simulations are preliminarily evaluated in this study.The model can reproduce the climatological mean states and seasonal cycles of the major climate system quantities,including the sea surface temperature, precipitation, sea ice extent, and the equatorial thermocline. The major climate variability modes are also reasonably captured by the CAMS-CSM, such as the Madden–Julian Oscillation(MJO), El Ni?o–Southern Oscillation(ENSO), East Asian Summer Monsoon(EASM), and Pacific Decadal Oscillation(PDO).The model shows a promising ability to simulate the EASM variability and the ENSO–EASM relationship. Some biases still exist, such as the false double-intertropical convergence zone(ITCZ) in the annual mean precipitation field,the overestimated ENSO amplitude, and the weakened Bjerknes feedback associated with ENSO; and thus the CAMS-CSM needs further improvements. | Xinyao RONG Jian LI Haoming CHEN Yufei XIN Jingzhi SU Lijuan HUA Tianjun ZHOU Yanjun QI Zhengqiu ZHANG Guo ZHANG Jianduo LI | 2018 | Journal of Meteorological Research2018，32，6： | 15 |
| 4 | CAMS-CSM模式及其参与CMIP6的方案显示文摘世界气候研究计划(WCRP)组织开展的耦合模式比较计划已实施到第六阶段(CMIP6),中国气象科学研究院发展的气候系统模式CAMS-CSM是注册参加CMIP6的模式之一。除CMIP6要求的气候诊断、评估和描述试验(DECK)以及历史气候模拟试验(Historical)外,CAMS-CSM还计划参加情景模式比较计划(ScenarioMIP)、云反馈模式比较计划(CFMIP)、全球季风模式比较计划(GMMIP)和高分辨率模式比较计划(HighResMIP)这4个模式比较子计划(MIPs)。文中通过介绍CAMS-CSM的基本情况和模拟性能,以及计划参加的CMIP6试验及MIPs,为模式试验数据使用者提供参考。 | 容新尧 李建 陈昊明 辛羽飞 苏京志 华莉娟 张正秋 | 2019 | 气候变化研究进展2019，15，5： | 6 |
| 5 | Arctic Climate Changes Based on Historical Simulations(1900-2013) with the CAMS-CSM显示文摘The Chinese Academy of Meteorological Sciences Climate System Model(CAMS-CSM) is a newly developed global climate model that will participate in the Coupled Model Intercomparison Project phase 6. Based on historical simulations(1900-2013), we evaluate the model performance in simulating the observed characteristics of the Arctic climate system, which includes air temperature, precipitation, the Arctic Oscillation(AO), ocean temperature/salinity,the Atlantic meridional overturning circulation(AMOC), snow cover, and sea ice. The model-data comparisons indicate that the CAMS-CSM reproduces spatial patterns of climatological mean air temperature over the Arctic(60°-90°N) and a rapid warming trend from 1979 to 2013. However, the warming trend is overestimated south of the Arctic Circle, implying a subdued Arctic amplification. The distribution of climatological precipitation in the Arctic is broadly captured in the model, whereas it shows limited skills in depicting the overall increasing trend. The AO can be reproduced by the CAMS-CSM in terms of reasonable patterns and variability. Regarding the ocean simulation, the model underestimates the AMOC and zonally averaged ocean temperatures and salinity above a depth of 500 m, and it fails to reproduce the observed increasing trend in the upper ocean heat content in the Arctic. The largescale distribution of the snow cover extent(SCE) in the Northern Hemisphere and the overall decreasing trend in the spring SCE are captured by the CAMS-CSM, while the biased magnitudes exist. Due to the underestimation of the AMOC and the poor quantification of air–sea interaction, the CAMS-CSM overestimates regional sea ice and underestimates the observed decreasing trend in Arctic sea–ice area in September. Overall, the CAMS-CSM reproduces a climatological distribution of the Arctic climate system and general trends from 1979 to 2013 compared with the observations, but it shows limited skills in modeling local trends and interannual variability. | Ting WEI Jian LI Xinyao RONG Wenjie DONG Bingyi WU Minghu DING | 2018 | Journal of Meteorological Research2018，32，6： | 4 |
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