Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s13351-018-7156-0 |
Effects of Updated RegCM4 Land Use Data on Near-Surface Temperature Simulation in China | |
Ren, Yulong1,2; Li, Yaohui1,2; Pu, Zhaoxia3; Zhang, Tiejun1,2; Duan, Haixia1,2; Wang, Wei1,2 | |
通讯作者 | Li, Yaohui |
来源期刊 | JOURNAL OF METEOROLOGICAL RESEARCH
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ISSN | 2095-6037 |
EISSN | 2198-0934 |
出版年 | 2018 |
卷号 | 32期号:5页码:758-767 |
英文摘要 | Biogeophysical effects of land use and land cover (LULC) changes play a significant role in modulating climate on various spatial scales. In this study, a set of recent LULC products with a spatial resolution of 500 m was developed in China for update in RegCM4 (regional climate model version 4). Two sets of comparative numerical experiments were conducted to study the effects of LULC changes on near-surface temperature simulation. The results show that after LULC changes, areas of crops and mixed woodlands as well as urban areas increase over entire China, accompanied with greatly expanded mixed farming and forests/field mosaics in southern China, and reduced areas of 1) irrigated crops and short grasses in northern China and the Tibetan Plateau, and 2) semi-desert and desert in northwestern China. Improvements in the LULC data clearly result in more accurate simulations of the near-surface temperature. Specifically, increasing latent heat and longwave albedo due to enhanced LULC in certain areas lead to reduction in land surface temperature (LST), while changes in shortwave albedo and sensible heat also exert a great influence on the LST. Overall, these parameter adjustments reduce the biases in near-surface temperature simulation. |
英文关键词 | land use and land cover RegCM4 (regional climate model version 4) temperature simulation |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China ; USA |
收录类别 | SCI-E |
WOS记录号 | WOS:000448197200007 |
WOS关键词 | REGIONAL CLIMATE MODEL ; IMPACTS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/211166 |
作者单位 | 1.CMA, Key Lab Arid Climat Change & Disaster Reduct Gans, Inst Arid Meteorol, Lanzhou 730020, Gansu, Peoples R China; 2.CMA, Lanzhou 730020, Gansu, Peoples R China; 3.Univ Utah, Dept Atmospher Sci, Salt Lake City, UT 84112 USA |
推荐引用方式 GB/T 7714 | Ren, Yulong,Li, Yaohui,Pu, Zhaoxia,et al. Effects of Updated RegCM4 Land Use Data on Near-Surface Temperature Simulation in China[J],2018,32(5):758-767. |
APA | Ren, Yulong,Li, Yaohui,Pu, Zhaoxia,Zhang, Tiejun,Duan, Haixia,&Wang, Wei.(2018).Effects of Updated RegCM4 Land Use Data on Near-Surface Temperature Simulation in China.JOURNAL OF METEOROLOGICAL RESEARCH,32(5),758-767. |
MLA | Ren, Yulong,et al."Effects of Updated RegCM4 Land Use Data on Near-Surface Temperature Simulation in China".JOURNAL OF METEOROLOGICAL RESEARCH 32.5(2018):758-767. |
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