青藏高原区域高分辨率(12km)再分析资料(2013-2022)
收藏国家青藏高原科学数据中心2025-04-29 更新2025-06-07 收录
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https://data.tpdc.ac.cn/zh-hans/data/46f47f20-78fe-4fd3-b470-c86cbb04baec
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资源简介:
本数据集利用WRF模式模拟了2013年1月1日至2022年12月31日期间高原地区的气候特征,模拟区域覆盖纬度21°N-47°N、经度60°E-110°E,水平分辨率为12km,垂直分层65层。输入数据为每6小时一次的ERA5再分析数据集,输出为每3小时的WRF模拟预报结果。每日00时通过GSI三维变分同化技术,融合GDAS常规观测及反演数据集,以提升模拟精度。WRF模式采用墨卡托投影,结合WSM6微物理方案、RRTM辐射方案、Noah陆面模型等参数化方案,并通过自适应时间步长、地形平滑等动力学设置优化高原复杂地形模拟效果。本数据集适用于高原气候研究、气象预报验证及相关应用场景,数据文件命名规则为“wrfout_d01_+时间”。有关数据集的详细说明见说明文档中附件:SCEX_STEP_NAFP_WRF-GSI_TIB-reply.docx
This dataset simulates the climatic characteristics of the Tibetan Plateau region from January 1, 2013 to December 31, 2022 using the WRF model. The simulation domain covers latitudes ranging from 21°N to 47°N and longitudes ranging from 60°E to 110°E, with a horizontal resolution of 12 km and 65 vertical layers. The input data is the ERA5 reanalysis dataset provided every 6 hours, and the output consists of WRF simulation forecast results generated every 3 hours. At 00:00 UTC daily, the GSI three-dimensional variational data assimilation technique is employed to integrate conventional GDAS observations and retrieved datasets, so as to improve the simulation accuracy. The WRF model adopts the Mercator projection, and incorporates multiple parameterization schemes including the WSM6 microphysics scheme, RRTM radiation scheme and Noah land surface model. Dynamic settings such as adaptive time step and terrain smoothing are also applied to optimize the simulation of complex terrain over the plateau. This dataset is applicable to Tibetan Plateau climate research, meteorological forecast verification and other related application scenarios. The naming rule for data files is "wrfout_d01_+time". For detailed descriptions of this dataset, please refer to the attachment in the documentation: SCEX_STEP_NAFP_WRF-GSI_TIB-reply.docx
提供机构:
曹宁
创建时间:
2025-02-28
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是青藏高原区域2013-2022年间的高分辨率(12km)再分析资料,通过WRF模式模拟生成,每3小时输出一次,覆盖纬度21°N-47°N、经度60°E-110°E范围。数据集适用于高原气候研究和气象预报验证,采用nc格式存储,文件命名规则为“wrfout_d01_+时间”。
以上内容由遇见数据集搜集并总结生成



