Comparison of soil moisture in GLDAS model simulations and in situ observations over the Tibetan Plateau
文献类型:期刊论文
作者 | Bi, Haiyun1; Ma, Jianwen1; Zheng, Wenjun1; Zeng, Jiangyuan1 |
刊名 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
![]() |
出版日期 | 2016 |
卷号 | 121期号:6页码:2658-2678 |
关键词 | COMPARISON PROJECT WETCHIMP NORTHERN HIGH-LATITUDES GLOBAL WETLAND EXTENT ATMOSPHERIC METHANE LAND-SURFACE TERRESTRIAL ECOSYSTEMS BIOGEOCHEMISTRY MODEL PRESENT STATE EMISSIONS CLIMATE |
通讯作者 | Zeng, JY (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China. |
英文摘要 | Soil moisture is a key state variable in many hydrological processes. The Global Land Data Assimilation System (GLDAS) can produce global and continuous soil moisture data sets which have been used in many applications. In this study, simulated soil moisture from four land surface models (LSM) (Mosaic, Noah, Community Land Model, and Variable Infiltration Capacity) in GLDAS-1 and the more recent GLDAS-2 were evaluated against in situ soil moisture measurements collected from two soil moisture networks located on the Tibetan Plateau at different soil depths. The two networks provide a representation of different climates and land surface conditions on the Tibetan Plateau which can make the evaluation results more robust and reliable. The results show that all the LSMs can well capture the temporal variation of observed soil moisture with the correlation coefficients mostly being above 0.5. However, they all display biases with the surface soil moisture being systematically underestimated in both of two network regions, and the Mosaic model always shows the largest bias that even reaches 0.192m(3)/m(3). The causes of the biases were investigated in detail, and we found that the biases may mainly be caused by the soil stratification phenomenon over the Tibetan Plateau. Moreover, errors in model parameters, especially the soil properties data, deficiencies in model structures, and mismatch of the spatial scale and soil depth between LSM simulations and in situ measurements may contribute to the biases as well. Additionally, it was found that GLDAS-2 nearly does not show superior performance than GLDAS-1 over the Tibetan Plateau. |
学科主题 | Meteorology & Atmospheric Sciences |
类目[WOS] | Meteorology & Atmospheric Sciences |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000374710300009 |
源URL | [http://ir.radi.ac.cn/handle/183411/39427] ![]() |
专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
作者单位 | 1.China Earthquake Adm, Inst Geol, State Key Lab Earthquake Dynam, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Bi, Haiyun,Ma, Jianwen,Zheng, Wenjun,et al. Comparison of soil moisture in GLDAS model simulations and in situ observations over the Tibetan Plateau[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2016,121(6):2658-2678. |
APA | Bi, Haiyun,Ma, Jianwen,Zheng, Wenjun,&Zeng, Jiangyuan.(2016).Comparison of soil moisture in GLDAS model simulations and in situ observations over the Tibetan Plateau.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,121(6),2658-2678. |
MLA | Bi, Haiyun,et al."Comparison of soil moisture in GLDAS model simulations and in situ observations over the Tibetan Plateau".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 121.6(2016):2658-2678. |
入库方式: OAI收割
来源:遥感与数字地球研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。