five

Regional climate model intercomparsion for Tibetan Plateau (TPEMIP): WRFv4.1.3 (1991-2015)

收藏
国家青藏高原科学数据中心2024-09-23 更新2024-09-28 收录
下载链接:
https://data.tpdc.ac.cn/zh-hans/data/63ba1026-27ef-453a-82f0-1a9b6b75070e
下载链接
链接失效反馈
官方服务:
资源简介:
This data is simulated by EAPL groups of Yonsei University, South Korea (https://eapl.yonsei.ac.kr). To satisfy two main goals of the project, 1) Access the current status of regional climate simulations using a fine spatial resolution over the Tibetan Plateau, and 2) Understand the impact of the interactions of the Tibetan Plateau land processes with the atmosphere, we conduct experiments during April–August in 1991–2015 over Tibetan Plateau (about 10-50°N, 65-130°E; Lambert conformal map) with the regional model WRF (version 4.1.3). The horizontal and vertical resolution are 15 km (400x300 grids) and 33-layers to 50 hPa, respectively. For the initial and lateral boundary conditions, 6-hourly ERA-Interim reanalysis is used (ECMWF, 2009). The running time is set as 7 days (i.e., restarts every 7 days) to prevent the influence of the error due to the integration period. The physics package includes the WRF Single moment 6-class (WSM6) Microphysics, the Yonsei University (YSU) PBL and surface layer (YSL) scheme (Lee et al., 2020), the RRTMG scheme for both short and longwave radiation, the Grell-Freitas cumulus scheme, and Noah Land Surface Model (except YSL scheme other references can be found in WRF users page). For better simulation results, additional settings about land-atmosphere interactions have been made. 1) Roughness sublayer (Lee et al., 2020), 2) Spaceborne lidar-retrieved canopy height (Lee and Hong, 2016), 3) Topographic surface wind correction (Lorente-Plazas et al., 2016), 4) Topographic shadow on radiation (Zängl, 2002), 5) Slope-dependent radiation (Garnier and Ohmura, 1968; Zängl, 2002), 6) Spectral nudging (Miguez-Macho et al., 2004), and 7) Lake temperature correction are considered.
提供机构:
KIM Jeongwon,CHO Wonseok ,LEE Junhong,Doyoon Kwon,HONG Jinkyu
创建时间:
2021-01-29
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作