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| 1 | A Daily Temperature Dataset over China and Its Application in Validating a RCM Simulation显示文摘This paper describes the construction of a 0.5°×0.5°daily temperature dataset for the period of 1961- 2005 over China's Mainland for the purpose of climate model validation. The dataset is based on the in- terpolation from 751 observing stations in China and comprises 3 variables: daily mean,minimum,and maximum temperature.The'anomaly approach'is applied in the interpolation.The gridded climatology of 1971-2000 is first calculated and then a gridded daily anomaly for 1961-2005 is added to the climatologY to obtain the final dataset.Comparison of the dataset with CRU (Climatic Research Unit) observations at the monthly scale shows general agreement between the two datasets.The differences found can be largely attributed to the introduction of observations at new stations.The dataset shows similar interannual vari- ability as does CRU data over North China and eastern part of the Tibetan Plateau,but with a slightly larger linear trend. The dataset is employed to validate the simulation of three extreme indices based on daily mean,minimum,and maximum temperature by a high-resolution regional climate model. Results show that the model reproduces these indices well.The data are available at the National Climate Center of China Meteorological Administration,and a coarser resolution(1°×1°)version can be accessed via the World Wide Web. | 徐影 高学杰 沈艳 许崇海 石英 F.GIORGI | 2009 | Advances in Atmospheric Sciences2009，26，4： | 145 |
| 2 | 全球变暖对中国区域积雪变化影响的数值模拟显示文摘对20km高水平分辨率区域气候模式(RegCM3)所模拟的全球变暖背景下,中国区域未来积雪变化进行了分析.检验了模式对当代(1961-1990年)积雪日数、积雪量、积雪开始和结束时间的模拟,结果表明:与观测相比,模式对这些变量均有较好的模拟能力,但模拟的积雪日数和积雪量偏多,积雪开始时间偏早,结束日期偏晚.21世纪末(2071-2100年)在IPCC SRES A2温室气体排放情景下,中国大部分地区积雪日数和积雪量将减少;积雪开始时间推后,结束时间提前,但在各个地区表现也有所不同,并在个别地区出现相反的变化.将中国区域分为东北、西北、青藏高原3个分区,结果显示:各分区平均积雪量均为减少,积雪开始时间推后,而积雪结束时间则都将提前,其中,青藏高原地区的变化最为显著. | 石英 高学杰 吴佳 F.Giorgi 董文杰 | 2010 | 冰川冻土2010，32，2： | 23 |
| 3 | Land use effects on climate in China as simulated by a regional climate model显示文摘A regional climate model (RegCM3) nested within ERA40 re-analyzed data is used to investigate the climate effects of land use change over China. Two 15-year simulations (1987―2001), one with current land use and the other with potential vegetation cover without human intervention, are conducted for a domain encompassing China. The climate impacts of land use change are assessed from the difference between the two simulations. Results show that the current land use (modified by anthropogenic ac- tivities) influences local climate as simulated by the model through the reinforcement of the monsoon circulation in both the winter and summer seasons and through changes of the surface energy budget. In winter, land use change leads to reduced precipitation and decreased surface air temperature south of the Yangtze River, and increased precipitation north of the Yangtze River. Land use change signifi- cantly affects summer climate in southern China, yielding increased precipitation over the region, de- creased temperature along the Yangtze River and increased temperature in the South China area (south-end of China). In summer, a reduction of precipitation over northern China and a temperature rise over Northwest China are also simulated. Both daily maximum and minimum temperatures are affected in the simulations. In general, the current land use in China leads to enhanced mean annual precipitation and decreased annual temperature over south China along with decreased precipitation over North China. | J.S.PAL F.GIORGI | 2007 | Science China Earth Sciences2007，50，4： | 21 |
| 4 | Regional Variability of Climate Change Hot-Spots in East Asia显示文摘The regional climate change index(RCCI)is employed to investigate hot-spots under 21st century global warming over East Asia.The RCCI is calculated on a 1-degree resolution grid from the ensemble of CMIP3 simulations for the B1,A1B,and A2 IPCC emission scenarios.The RCCI over East Asia exhibits marked sub-regional variability.Five sub-regional hot-spots are identified over the area of investigation:three in the northern regions(Northeast China,Mongolia,and Northwest China),one in eastern China,and one over the Tibetan Plateau.Contributions from different factors to the RCCI are discussed for the sub-regions. Analysis of the temporal evolution of the hot-spots throughout the 21st century shows different speeds of response time to global warming for the different sub-regions.Hot-spots firstly emerge in Northwest China and Mongolia.The Northeast China hot-spot becomes evident by the mid of the 21st century and it is the most prominent by the end of the century.While hot-spots are generally evident in all the 5 sub-regions for the A1B and A2 scenarios,only the Tibetan Plateau and Northwest China hot-spots emerge in the B1 scenario,which has the lowest greenhouse gas(GHG)concentrations.Our analysis indicates that sub- regional hot-spots show a rather complex spatial and temporal dependency on the GHG concentration and on the different factors contributing to the RCCI. | 徐影 高学杰 F.GIORGI | 2009 | Advances in Atmospheric Sciences2009，26，4： | 10 |
| 5 | Climate change hotspots in the United States显示文摘 | Diffenbaugh N.S F.Giorgi J.S.Pal | | 0，，： | 1 |
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