North American regional reanalysis
North American regional reanalysis
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DOI：
10.1175/bams-87-3-343
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发表时间：
2006-03-01
影响因子：
8
通讯作者：
Shi, W
中科院分区：
文献类型：
--
作者：
Mesinger, F;DiMego, G;Shi, W
1997年，在NCEP-NCAR全球再分析（GR）制作的后期阶段，GR项目咨询委员会建议探索区域再分析项目，“特别是如果RDAS（区域数据同化系统）在捕获区域水文循环、日循环和天气和气候变率的其他重要特征方面明显优于全球再分析。经过6年的开发和生产努力，NCEP的北美区域再分析（NARR）项目于2004年完成，现在科学界可以获得数据。沿着NCEP Eta模式及其资料同化系统的使用（在32公里45层分辨率与3小时输出），NARR的特点是纳入每小时同化的降水，这是一个全面的降水分析工作，使用最新版本的诺亚陆面模式，以及使用许多其他数据集，这些数据集与GR相比是额外的或改进的。遵循适用于NCEP GR的实践，25年NARR回顾生产期（1979-2003年）的建设和日常执行的系统，近实时延续的NARR，区域气候数据同化系统（R-CDAS）。NARR结果的亮点是：美国大陆（CONUS）的降水，这被认为是非常接近的摄入分析降水;适合对流层温度和风rawin-sonde观测;和适合2米的温度和10米的风地面站观测。上述拟合与NCEP-能源部（DOE）全球再分析（GR 2）的拟合进行了比较。不仅完全满足了上述期望，而且与GR 2相比，整个对流层的温度和风的准确性都有了很大的提高。最后，概述了所产生的众多数据集，并提供了关于数据存档和目前数据可用性的信息。
In 1997, during the late stages of production of NCEP-NCAR Global Reanalysis (GR), exploration of a regional reanalysis project was suggested by the GR project's Advisory Committee, "particularly if the RDAS [Regional Data Assimilation System] is significantly better than the global reanalysis at capturing the regional hydrological cycle, the diurnal cycle and other important features of weather and climate variability." Following a 6-yr development and production effort, NCEP's North American Regional Reanalysis (NARR) project was completed in 2004, and data are now available to the scientific community. Along with the use of the NCEP Eta model and its Data Assimilation System (at 32-km-45-layer resolution with 3-hourly output), the hallmarks of the NARR are the incorporation of hourly assimilation of precipitation, which lever-ages a comprehensive precipitation analysis effort, the use of a recent version of the Noah land surface model, and the use of numerous other datasets that are additional or improved compared to the GR. Following the practice applied to NCEP's GR, the 25-yr NARR retrospective production period (1979-2003) is augmented by the construction and daily execution of a system for near-real-time continuation of the NARR, known as the Regional Climate Data Assimilation System (R-CDAS). Highlights of the NARR results are presented: precipitation over the continental United States (CONUS), which is seen to be very near the ingested analyzed precipitation; fits of tropospheric temperatures and winds to rawin-sonde observations; and fits of 2-m temperatures and 10-m winds to surface station observations. The aforementioned fits are compared to those of the NCEP-Department of Energy (DOE) Global Reanalysis (GR2). Not only have the expectations cited above been fully met, but very substantial improvements in the accuracy of temperatures and winds compared to that of GR2 are achieved throughout the troposphere. Finally, the numerous datasets produced are outlined and information is provided on the data archiving and present data availability.