doi:  10.3878/j.issn.1006-9895.1808.18143
CLM4.5模式对青藏高原土壤湿度的数值模拟及评估

CLM4.5 Model Simulation of Soil Moisture over the Qinghai-Xizang Plateau and Its Performance Evaluation
摘要点击 388  全文点击 223  投稿时间:2018-03-22  
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基金:  国家自然科学基金项目41505078、91537214,中国科学院寒旱区陆面过程与气候变化重点实验室开放基金LPCC2018005,国家自然科学基金项目41775079、41530529,成都信息工程大学科研基金项目J201711、KYTZ201639
中文关键词:  CLM4.5模式土壤  湿度  青藏高原  数值模拟
英文关键词:  CLM4.5 model  Soil moisture  Qinghai-Xizang Plateau  Numerical simulation
                                   
作者中文名作者英文名单位
袁源YUAN Yuan成都信息工程大学大气科学学院高原大气与环境四川省重点实验室气候与环境变化联合实验室,成都610225
赖欣LAI Xin成都信息工程大学大气科学学院高原大气与环境四川省重点实验室气候与环境变化联合实验室,成都610225
巩远发GONG Yuanfa成都信息工程大学大气科学学院高原大气与环境四川省重点实验室气候与环境变化联合实验室,成都610225
文军WEN Jun成都信息工程大学大气科学学院高原大气与环境四川省重点实验室气候与环境变化联合实验室,成都610225
丁旭DING Xu成都信息工程大学大气科学学院高原大气与环境四川省重点实验室气候与环境变化联合实验室,成都610225
朱丽华ZHU Lihua成都信息工程大学大气科学学院高原大气与环境四川省重点实验室气候与环境变化联合实验室,成都610225
张永莉ZHANG Yongli成都信息工程大学大气科学学院高原大气与环境四川省重点实验室气候与环境变化联合实验室,成都610225
王炳赟WANG Bingyun成都信息工程大学大气科学学院高原大气与环境四川省重点实验室气候与环境变化联合实验室,成都610225
王欣WANG Xin中国科学院西北生态环境资源研究院寒旱区陆面过程与气候变化重点实验室,兰州730000
王作亮WANG Zuoliang中国科学院西北生态环境资源研究院寒旱区陆面过程与气候变化重点实验室,兰州730000
孟宪红MENG Xianhong中国科学院西北生态环境资源研究院寒旱区陆面过程与气候变化重点实验室,兰州730000
陈金雷and CHEN Jinlei中国科学院西北生态环境资源研究院冰冻圈科学国家重点实验室,兰州730000
引用:袁源,赖欣,巩远发,文军,丁旭,朱丽华,张永莉,王炳赟,王欣,王作亮,孟宪红,陈金雷.2019.CLM4.5模式对青藏高原土壤湿度的数值模拟及评估[J].大气科学,43(3):676-690,doi:10.3878/j.issn.1006-9895.1808.18143.
Citation:YUAN Yuan,LAI Xin,GONG Yuanfa,WEN Jun,DING Xu,ZHU Lihua,ZHANG Yongli,WANG Bingyun,WANG Xin,WANG Zuoliang,MENG Xianhong,and CHEN Jinlei.2019.CLM4.5 Model Simulation of Soil Moisture over the Qinghai-Xizang Plateau and Its Performance Evaluation[J].Chinese Journal of Atmospheric Sciences (in Chinese),43(3):676-690,doi:10.3878/j.issn.1006-9895.1808.18143.
中文摘要:
      本文利用1981~2016年的CRUNCEP资料(0.5°×0.5°)作为大气驱动数据,驱动CLM4.5(Community Land Model version 4.5)模式模拟了青藏高原地区1981~2016 年的土壤湿度时空变化。将模拟数据与台站观测资料、再分析资料(ERA-Interim和GLDAS-CLM)和微波遥感FY-3B/MWRI土壤湿度资料对比验证,表明了CLM4.5模拟资料可以合理再现青藏高原地区土壤湿度的空间分布和长期变化趋势。而且基于多种卫星遥感资料建立的较高分辨率(0.1°×0.1°)的青藏高原地表数据更加细致地刻画了土壤湿度的空间变化。对比结果表明:CLM4.5模拟土壤湿度与各个台站观测的时空变化一致,各层土壤湿度的模拟和观测均显著相关,且对浅层的模拟优于深层,但模拟结果比台站观测系统性偏大。模拟与再分析资料和微波遥感资料土壤湿度的空间分布具有一致性,均表现为从青藏高原的西北部向东南部逐渐增加的分布特点,三江源湿地和高原东南部为土壤湿度的高值区,柴达木盆地和新疆塔里木盆地的沙漠地区为低值区,土壤湿度由浅层向深层增加。土壤湿度的长期变化趋势基本表现为“变干—变湿”相间的带状分布,不同层次的土壤湿度变化趋势基本一致。模拟资料也合理地再现了夏季土壤湿度逐月的变化:高原西南地区的土壤湿度明显大范围增加,北部的柴达木盆地的干旱范围也明显的向北收缩,高原南部外围土壤湿度也明显增加,CLM4.5模拟土壤湿度比再分析资料和微波遥感资料更加细致地描述了夏季逐月土壤湿度空间分布及其变化特征。
Abstract:
      The Community Land Model version 4.5 (CLM4.5) driven by atmospheric forcing data (CRUNCEP) is used to simulate spatial and temporal characteristics of soil moisture in the Qinghai-Xizang Plateau for the period 1981-2016. Compared with station data, two reanalysis products (i.e.,the ERA-Interim and GLDAS-CLM) and the microwave remote sensing FY-3B/MWRI data, it is found that CLM4.5 can well reproduce the spatial and temporal variations of soil moisture in the Qinghai-Xizang Plateau. The microwave data with high spatial resolution (0.1°×0.1°), which is derived from various satellite remote sensing in the Qinghai-Xizang Plateau, provides detailed description of the spatial features of soil moisture. The results show that the spatial and temporal distributions of simulated soil moisture are consistent with station observations.The simulation is significantly correlated with observations in all soil layers but with high systematic deviations. And the consistency between simulation and observations gradually decreases from the surface downward. The spatial distribution of soil moisture in the Qinghai-Xizang Plateau is characterized by gradual increase from northwest to southeast. The high-value areas are found in the Sanjiangyuan Wetland and the southeastern Plateau, while the dry regions are located in the Qaidam Basin and the Tarim Basin. Soil moisture generally increases from surface downward. Temporal variation of soil moisture presents an alternate dry and wet pattern. There is little difference in soil moisture variation in different layers. The simulation also reasonably reproducesmonthly changes in soil moisture in the summer. Soil moisture in most of the southwestern region including the southern periphery of the plateau obviously increases in the summer. The dry area in the northern Qaidam Basin also markedly shrinks to the north. The simulated soil moisture provides more detailed description of spatial distribution and monthly changes of soil moisture in the summer compared with reanalysis data and microwave remote sensing data.
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