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Comparison of NCEP-NCAR and ERA-Interim over Australia

机译:NCEP-NCAR和ERA-Interim在澳大利亚的比较

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摘要

This study compares observations of 22 climate variables [rainfall, minimum and maximum temperature, mean sea level pressure (MSLP), and air temperature, geopotential heights, relative and specific humidity, and u-wind and v-winds at 500, 700 and 850hPa] over Australia with NCEP-NCAR (National Centers for Environmental Prediction-National Center for Atmospheric Research) and ERA-Interim, two most often used reanalysis products. The results indicate that both NCEP-NCAR and ERA-Interim generally reproduce the observed spatial patterns of long-term mean annual rainfall, daily maximum/minimum temperature and MSLP, the monthly distribution (annual cycle) of rainfall and temperature, although temperature is generally better simulated than rainfall and ERA-Interim shows an overall better performance than NCEP-NCAR in term of continental scale. In term of linear trends, both NCEP-NCAR and ERA-Interim simulate observed trend signs in some regions, but not in others, and the spatial distributions of temperature trends are generally not as well simulated as that of annual rainfall for both NCEP-NCAR and ERA-Interim. In addition, NCEP-NCAR and ERA-Interim show similar spatial patterns of annual mean air temperature, geopotential heights, humidity and winds. This implies that studies using NCEP-NCAR data could also make use of ERA-Interim to explore the range of uncertainties for the regions and climate variables where NCEP-NCAR and ERA-Interim show differences. This conclusion may also apply to regions other than Australia. For example, the different trend signs of MSLP between NCEP-NCAR and ERA-Interim could present a scientific challenging for climatic change studies using MSLP trends, and the split between large-scale and convective rainfall would also have merits globally to understand if the differences between the two reanalysis data sets are global or if we see convergence on key areas, such as tropices and frontal systems.
机译:这项研究比较了22种气候变量的观测值[降雨,最低和最高温度,平均海平面压力(MSLP)以及气温,地势高度,相对和特定湿度以及500、700和850hPa的u风和v风]在澳大利亚拥有两个最常用的再分析产品NCEP-NCAR(国家环境预测中心-国家大气研究中心)和ERA-Interim。结果表明,NCEP-NCAR和ERA-Interim都可以重现观测到的长期平均年降水量,每日最高/最低温度和MSLP,降雨和温度的月度分布(年周期)的空间格局,尽管温度通常是模拟结果优于降雨,ERA-Interim在大陆规模方面总体表现优于NCEP-NCAR。在线性趋势方面,NCEP-NCAR和ERA-Interim都模拟了某些地区的观测趋势征兆,而在其他地区则没有,并且对于NCEP-NCAR而言,温度趋势的空间分布通常不如年降水量模拟得好。和ERA-Interim。此外,NCEP-NCAR和ERA-Interim的年平均气温,地势高度,湿度和风的空间格局相似。这意味着使用NCEP-NCAR数据进行的研究也可以利用ERA-Interim来探索NCEP-NCAR和ERA-Interim表现出差异的区域和气候变量的不确定性范围。该结论也可能适用于澳大利亚以外的地区。例如,NCEP-NCAR和ERA-Interim之间MSLP的不同趋势征兆可能对使用MSLP趋势进行气候变化研究提出科学挑战,并且全球范围内大尺度降雨和对流降雨之间的差异也将有利于了解这种差异是否这两个重新分析数据集之间的关系是全局的,或者如果我们看到在关键区域(例如热带和额叶系统)上存在趋同关系。

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