Improving soil organic carbon parameterization of land surface model for cold regions in the Northeastern Tibetan Plateau, China
文献类型:期刊论文
作者 | Sun, Shaobo1,2; Chen, Baozhang1,3,6; Ge, Mengyu3; Qu, Junfeng3; Che, Tao4; Zhang, Huifang1; Lin, Xiaofeng1,2; Che, Mingliang1,2; Zhou, Ziyuan5; Guo, Lifeng1,2 |
刊名 | ECOLOGICAL MODELLING
![]() |
出版日期 | 2016-06-24 |
卷号 | 330页码:1-15 |
关键词 | Soil moisture. Land surface model Soil organic carbon Tibetan Plateau |
ISSN号 | 0304-3800 |
DOI | 10.1016/j.ecolmodel.2016.03.014 |
通讯作者 | Chen, Baozhang(baozhang.chen@igsnrr.ac.cn) |
英文摘要 | Most current land surface models (LSMs) show poor performance in soil water and temperature simulations for cold regions because of the inappropriate model structures and ill-parameterizations. This study aims to explore how to parameterize soil organic carbon (SOC) in term of soil moisture simulations using the Community Land Model version 4.0 (CLM4.0) model and the Dynamic Land Model version 1.0 (DLM1.0) model. Firstly, we discuss the sensitivities of modeled soil moisture to SOC based on observations. The SOC parameterizations in both CLM4.0 and DLM1.0 were proved poor against the measured SOC through sensitivity analysis for the Heihe River watershed area (cold but with high SOC). A SOC parameterization was developed and tested based on multiple year observations. Our findings are twofold: (i) the soil organic parameterizations in CLM4.0 and DLM1.0 are inappropriate for simulating soil moisture in cold regions with high SOC, and the modified SOC parameterization significantly improves the soil moisture simulations; (ii) the impacts of SOC on soil moisture vary significantly with seasons, which is largest for JJA (June, July and August) followed by SON (September, October and November), MAM (March, April and May) and DJF (December, January and February). This study highlights that the impacts of SOC should be fully considered for LSMs soil moisture simulations, especially for cold areas with high SOC. (C) 2016 Elsevier B.V. All rights reserved. |
收录类别 | SCI |
WOS关键词 | IN-SITU OBSERVATIONS ; HYDRAULIC CONDUCTIVITY ; MONITORING NETWORK ; HYDROLOGIC FLUXES ; MOISTURE NETWORK ; CLIMATE-CHANGE ; WATER STORAGE ; FROZEN SOIL ; SCALE ; SIMULATIONS |
WOS研究方向 | Environmental Sciences & Ecology |
WOS类目 | Ecology |
语种 | 英语 |
WOS记录号 | WOS:000375824500001 |
出版者 | ELSEVIER SCIENCE BV |
URI标识 | http://www.irgrid.ac.cn/handle/1471x/2557333 |
专题 | 寒区旱区环境与工程研究所 |
通讯作者 | Chen, Baozhang |
作者单位 | 1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, 11A,Datun Rd, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, 19A,Yuquan Rd, Beijing 100049, Peoples R China 3.China Univ Min & Technol, Sch Environm Sci & Spatial Informat, 1 Daxue Rd, Quanshan Dist 221116, Xuzhou, Peoples R China 4.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, 320 Donggang West Rd, Lanzhou 730000, Peoples R China 5.Beijing Forestry Univ, Sch Soil & Water Conservat, 35 Tsinghua East Rd, Beijing 100083, Peoples R China 6.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, 1 Wenyuan Rd, Nanjing 210023, Jiangsu, Peoples R China |
推荐引用方式 GB/T 7714 | Sun, Shaobo,Chen, Baozhang,Ge, Mengyu,et al. Improving soil organic carbon parameterization of land surface model for cold regions in the Northeastern Tibetan Plateau, China[J]. ECOLOGICAL MODELLING,2016,330:1-15. |
APA | Sun, Shaobo.,Chen, Baozhang.,Ge, Mengyu.,Qu, Junfeng.,Che, Tao.,...&Wang, Bingyang.(2016).Improving soil organic carbon parameterization of land surface model for cold regions in the Northeastern Tibetan Plateau, China.ECOLOGICAL MODELLING,330,1-15. |
MLA | Sun, Shaobo,et al."Improving soil organic carbon parameterization of land surface model for cold regions in the Northeastern Tibetan Plateau, China".ECOLOGICAL MODELLING 330(2016):1-15. |
入库方式: iSwitch采集
来源:寒区旱区环境与工程研究所
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。