Performance of Regional Integrated Environment Modeling System (RIEMS) in precipitation simulations over East Asia
Performance of Regional Integrated Environment Modeling System (RIEMS) in precipitation simulations over East Asia
复制标题
区域综合环境模拟系统（RIEMS）在东亚降水模拟中的性能
DOI：
10.1007/s00382-012-1660-1
复制
发表时间：
2013-01
期刊：
影响因子：
4.6
通讯作者：
赵得明
中科院分区：
文献类型：
--
作者：
赵得明
区域气候模式（RCMs）可以提供比大气环流模式更精确的地面特征和中尺度环流信息。这种获得更详细的模型结果的潜力促使东亚地区对区域协调机制的发展给予了极大的关注。区域综合环境模拟系统（RIEMS2.0）是由南京大学东亚区域气候环境重点实验室在RIEMS1.0的基础上发展起来的。为了检验RIEMS 2.0对东亚地区长期气候和气候变化的模拟能力，并为RIEMS 2.0的进一步开发和应用提供基础，我们将1979 - 2008年（模拟时间为1978年1月1日至2008年12月31日）的降水模拟结果与实测气象资料进行了比较。结果表明，RIEMS 2.0模拟了东亚地区降水的空间分布，但对降水的估计偏高。模拟的30年平均降水量比观测降水量高26%。模拟的上层和根部土壤水分与遥感得到的土壤水分有很好的相关性。该模式较好地再现了平均降水量及其异常的年际和年际变化。对代表不同纬度范围的三个分区的进一步分析表明，模拟结果与观测资料之间有很好的相关性和一致性。模型还较好地反映了平均降水量的年变化、年际变化以及各分区的异常。模式的大气环流和水分输送模拟的性能进行了讨论，探讨模拟和观测之间的偏差。总之，RIEMS 2.0在模拟东亚长期气候和气候变化以及描述次区域特征方面表现出良好的稳定性。
Regional climate models (RCMs) can provide much more precise information on surface characteristics and mesoscale circulation than general circulation models. This potential for obtaining more detailed model results has motivated to a significant focus on RCMs development in East Asia. The Regional Integrated Environment Modeling System, version 2.0 (RIEMS2.0) has been developed from an earlier RCM, RIEMS1.0, at the Key Laboratory of Regional Climate-Environment for East Asia and Nanjing University. To test the ability of RIEMS2.0 to simulate long-term climate and climate changes in East Asia and to provide a basis for further development and applications, we compare simulated precipitation from 1979 to 2008 (simulation duration from 1 January 1978 to 31 December 2008) to observed meteorological data. The results show that RIEMS2.0 reproduces the spatial distribution of precipitation in East Asia but that the simulation overestimates precipitation. The simulated 30-year precipitation average is 26 % greater than the observed precipitation. Simulated upper and root soil water correlate well with remote sensing derived soil moisture. Annual and interannual variation in the average precipitation and their anomalies are both well reproduced by the model. A further analysis of three subregions representing different latitude ranges shows that there is good correlation and consistency between the simulated results and the observed data. Annual variation, interannual variation of average precipitation, and the anomalies in the three sub-regions are also well captured by the model. The model’s performance on atmospheric circulation and moisture transport simulations is discussed to explore the bias between the simulation and observations. In summary, RIEMS2.0 shows stability and does well in both simulating long-term climate and climate changes in East Asia and in describing subregional characteristics.
登录
查看更多内容
影响因子：
--
作者：
L. Shu;Liangjie Xin;Zhang Hua;B. Monitoring
通讯作者：
L. Shu;Liangjie Xin;Zhang Hua;B. Monitoring
DOI：
10.5065/d6ff3q99
发表时间：
1996-09
期刊：
--
影响因子：
--
作者：
J. Kiehl;J. Hack;G. Bonan;B. Boville;B. Briegleb
通讯作者：
J. Kiehl;J. Hack;G. Bonan;B. Boville;B. Briegleb
DOI：
10.1007/978-1-935704-13-3_16
发表时间：
1993
期刊：
--
影响因子：
--
作者：
J. Kain;J. Fritsch
通讯作者：
J. Kain;J. Fritsch
DOI：
--
发表时间：
2022
期刊：
--
影响因子：
--
作者：
R. Madelon;N. Rodríguez-Fernández;Hassan Bazzi;N. Baghdadi;C. Albergel;W. Dorigo;M. Zribi
通讯作者：
R. Madelon;N. Rodríguez-Fernández;Hassan Bazzi;N. Baghdadi;C. Albergel;W. Dorigo;M. Zribi
影响因子：
3.4
作者：
Gao, Xuejie;Xu, Ying;Giorgi, F.
通讯作者：
Giorgi, F.