摘要：A global climate prediction system(PCCSM4) was developed based on the Community Climate System Model, version 4.0, developed by the National center for Atmospheric research(NCAR), and an initialization scheme was designed by our group. Thirty-year(1981–2010) one-month-lead retrospective summer climate ensemble predictions were carried out and analyzed. The results showed that PCCSM4 can efficiently capture the main characteristics of JJA mean sea surface temperature(SST), sea level pressure(SLP), and precipitation. The prediction skill for SST is high, especially over the central and eastern Pacific where the influence of El Ni?o-Southern Oscillation(ENSO) is dominant. Temporal correlation coefficients between the predicted Ni?o3.4 index and observed Ni?o3.4 index over the 30 years reach 0.7, exceeding the 99% statistical significance level. The prediction of 500-hPa geopotential height, 850-hPa zonal wind and SLP shows greater skill than for precipitation. Overall, the predictability in PCCSM4 is much higher in the tropics than in global terms, or over East Asia. Furthermore, PCCSM4 can simulate the summer climate in typical ENSO years and the interannual variability of the Asian summer monsoon well. These preliminary results suggest that PCCSM4 can be applied to real-time prediction after further testing and improvement.

摘要：本文使用六个不同的最新大气模式进行了协调数值集合实验,评估和量化了全球海表面温度(SST)对1982-2014年冬季早期北极变暖的影响.本研究设计了两组实验:在第一组(EXP1)中,将OISSTv2逐日变化的海冰密集度和SST数据作为下边界强迫场;在第二组(EXP2)中,将逐日变化的SST数据替换为逐日气候态.结果表明:(1)EXP1的多模式集合总体平均值显示0.4℃/10年的近地表(约850 hPa)升温趋势,为再分析数据结果中升温趋势的80%.(2)在这六个模式中,模拟的变暖趋势均很强,幅度为0.36-0.50℃/10年.(3)全球海表温度可以解释北极对流层中低层EXP1的大部分模拟的变暖趋势,占再分析数据结果的58%.(4)再分析数据结果中,北极上空的对流层上层变暖(约200 hPa)不是由强迫信号而可能是由自然气候变率引起的.本文还探索了影响北极初冬变暖的可能源区,并讨论了该研究的局限性.