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首页> 外文期刊>Journal of Climate >Evaluation of Eight Current Reanalyses in Simulating Land Surface Temperature from 1979 to 2003 in China
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Evaluation of Eight Current Reanalyses in Simulating Land Surface Temperature from 1979 to 2003 in China

机译:从1979年到2003年在中国模拟陆地温度下八次流量评价

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Land surface temperature T-s provides essential supplementary information to surface air temperature, the most widely used metric in global warming studies. A lack of reliable observational T-s data makes assessing model simulations difficult. Here, the authors first examined the simulated T-s of eight current reanalyses based on homogenized T-s data collected at similar to 2200 weather stations from 1979 to 2003 in China. The results show that the reanalyses are skillful in simulating the interannual variance of T-s in China (r = 0.95) except over the Tibetan Plateau. ERA-Interim and MERRAl and versions perform better in this respect than ERA-Interim and MERRA. Observations show that the interannual variance of T-s over the north China plain and south China is mostly influenced by surface incident solar radiation R-s, followed by precipitation frequency, whereas the opposite is true over the northwest China, northeast China, and the Tibetan Plateau. This variable relationship is well captured by ERA-Interim, ERA-Interim land, MERRA, and JRA-55. The homogenized T-s data show a warming of 0.34 degrees C decade(-1) from 1979 to 2003 in China, varying between 0.25 degrees and 0.42 degrees C decade(-1) for the eight reanalyses. However, the reanalyses substantially underestimate the warming trend of T-s over northwest China, northeast China, and the Tibetan Plateau and significantly overestimate the warming trend of T-s over the north China plain and south China owing to their biases in simulating the R-s and precipitation frequency trends. This study provides a diagnostic method for examining the capability of current atmospheric/land reanalysis data in regional climate change studies.
机译:陆地表面温度T-S提供了表面气温的必要补充信息,全球变暖研究中最广泛使用的公制。缺乏可靠的观察T-S数据使得评估模型模拟困难。在这里,作者首先研究了基于在中国1979年至2003年类似于2200个气象站的均质T-S数据的恒定T-S数据的模拟T-S。结果表明,除了藏高原之外,Reanalyses擅长模拟中国T-S的际差异(r = 0.95)。 ERA-临时和Merral和Merral在这方面表现优于ERA-Interim和Merra。观察结果表明,T-S对华北平原和华南地区的际差异主要受到地表事件太阳辐射R-S的影响,其次是降水频率,而相反的是在中国西北部,东北和藏高原的彼此真实。这种可变关系是由ERA-INSTIM,ERA-INSTIM LAND,MERRA和JRA-55捕获的。均质的T-S数据显示在中国1979年至2003年的0.34摄氏度(-1)的变暖,为八个Reanalyses的0.25度和0.42摄氏度(-1)。然而,Reanalyses基本上低估了中国西北部,东北地区,东北地区,西藏高原的变暖趋势,并大大高估了华北平原和华南地区的变暖趋势,因为它们在模拟RS和降水频率趋势方面的偏见。本研究提供了一种诊断方法,用于检查区域气候变化研究中当前的大气/土地重新分析数据的能力。

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    《Journal of Climate》 |2017年第18期|共20页
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  • 正文语种 eng
  • 中图分类 气候学;
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