首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Evaluation of precipitation from the ERA-40, NCEP-1, and NCEP-2 Reanalyses and CMAP-1, CMAP-2, and GPCP-2 with ground-based measurements in China
【24h】

Evaluation of precipitation from the ERA-40, NCEP-1, and NCEP-2 Reanalyses and CMAP-1, CMAP-2, and GPCP-2 with ground-based measurements in China

机译:利用中国的地面测量评估ERA-40,NCEP-1和NCEP-2再分析以及CMAP-1,CMAP-2和GPCP-2的降水

获取原文
获取原文并翻译 | 示例
           

摘要

[1] We assess the correspondence between precipitation products from atmospheric reanalyses (ERA-40, NCEP-1, and NCEP-2), the Climate Prediction Center (CPC) Merged Analyses of Precipitation (CMAP-1 and CMAP-2), and the Global Precipitation Climatology Project Version 2 (GPCP-2) with adjusted observational precipitation (AOP) from China for 1979-2001 and also for ERA-40 and NCEP-1 over 1958-1978. In general, we conclude that CMAP-1 and GPCP-2 agree more closely with AOP than the reanalysis products do, although ERA-40 data agree more closely with AOP than NCEP data. The percentages of precipitation differences (PPDs) across China between annual ERA-40, NCEP-1, NCEP-2, CMAP-1, CMAP-2, and GPCP-2 data and AOP are -12, 22, 14, —8, —7, and —15%, respectively, for 1979-2001. Although relatively small biases are evident for China as a whole, maximum PPDs, usually occurring around the Qinghai-Tibetan Plateau, can exceed 1000%, indicating a strong terrain dependence of gridded precipitation data. GPCP-2, although characterized by greater underestimation for most of China compared with CMAP-1, exhibits a smaller biases range and hence may be better than CMAP-1. Compared with the NCEP-1 system, NCEP-2 represents an improvement as NCEP-2 precipitation agrees more closely with AOP than NCEP-1 data. However, the coherence of NCEP-2 precipitation needs further improvement. In addition, we find worse consistency and accuracy and larger positive biases in some parts of China for CMAP-2 versus CMAP-1, illustrating an advantage of including reanalysis data in CMAP, as CMAP-1 does. CMAP-1 could be further improved if they used the more skillful ERA-40 precipitation instead of the NCEP/NCAR data.
机译:[1]我们评估大气再分析(ERA-40,NCEP-1和NCEP-2),气候预测中心(CPC)合并的降水分析(CMAP-1和CMAP-2)的降水产物之间的对应关系,以及全球降水气候学项目第2版(GPCP-2),其中包括来自中国的1979-2001年调整后的观测降水(AOP),以及1958-1978年间ERA-40和NCEP-1的观测值。总的来说,我们得出的结论是,尽管ERA-40数据与AOP的一致性比NCEP数据的一致性高,但CMAP-1和GPCP-2与AOP的一致性比再分析产品更为严格。年度ERA-40,NCEP-1,NCEP-2,CMAP-1,CMAP-2和GPCP-2和AOP之间的全国降水差异百分比为-12、22、14,-8, 1979-2001年分别为7%和-15%。尽管从整体上看,中国的偏倚相对较小,但通常在青藏高原周围出现的最大PPD可能超过1000%,这表明栅格化降水数据对地形的依赖性很大。尽管GPCP-2的特征是与CMAP-1相比在中国大部分地区被低估,但GPCP-2的偏差范围较小,因此可能优于CMAP-1。与NCEP-1系统相比,NCEP-2代表了一种改进,因为NCEP-2降水与AOP的吻合度比NCEP-1数据更为紧密。但是,NCEP-2降水的相干性需要进一步提高。此外,我们发现在中国的某些地区,CMAP-2与CMAP-1的一致性和准确性较差,正偏差较大,这说明了像CMAP-1一样,在CMAP中包含重新分析数据的优势。如果他们使用更熟练的ERA-40降水代替NCEP / NCAR数据,则可以进一步改善CMAP-1。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号