Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.6110 |
More realistic land-use and vegetation parameters in a regional climate model reduce model biases over China | |
Gou, Jiaojiao1,2,3; Wang, Fei1,2; Jin, Kai1; Mu, Xingmin1,2; Chen, Deliang4 | |
2019-10-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY |
ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2019 |
卷号 | 39期号:12页码:4825-4837 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; Sweden |
英文摘要 | Accurate vegetation cover data are important for realistic simulation of regional climate. The default vegetation parameters from Global Land Cover 2000, currently incorporated into global climate models and used in regional climate model RegCM, are not realistic for China, which may have contributed to serious bias in surface climate simulation. In this study, a new set of vegetation parameters considering the Plant Functional Type (PFT) fractions and the corresponding monthly leaf area index (PFT_LAI), were developed based on the land cover and MODIS LAI data sets. The regional climate model RegCM4.5 coupled with the land surface model CLM4.5 were utilized to test the performance of the new vegetation parameters by comparing simulations with observations using different surface parameters. The surface energy balance was analysed to examine the effects of changed vegetation parameters on regional climate. The results showed that the new parameters were more accurate than the GLC2000 parameters when describing the distribution of crops, grassland, and forests over China. The improved vegetation parameters reduced model biases for winter air temperature and precipitation over southern China by 0.9 degrees C and 8%, respectively, and reduced the winter temperature and summer precipitation biases over northeastern China by approximately 0.7 degrees C and 8%, respectively. More accurate surface albedo are the main reasons for reductions in model bias. However, certain biases, such as the cold and dry bias over the Tibetan Plateau, still remained in the simulation results using our new vegetation data. |
英文关键词 | China CLM improved climate simulations plant functional type RegCM |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000489003100017 |
WOS关键词 | COVER CHANGES ; REGCM4 ; TEMPERATURE ; RAINFALL ; IMPACTS ; DATASET |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/187404 |
专题 | 气候变化 |
作者单位 | 1.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Inst Soil & Water Conservat, Yangling, Shaanxi, Peoples R China; 2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling, Shaanxi, Peoples R China; 3.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China; 4.Univ Gothenburg, Dept Earth Sci, Reg Climate Grp, Gothenburg, Sweden |
推荐引用方式 GB/T 7714 | Gou, Jiaojiao,Wang, Fei,Jin, Kai,et al. More realistic land-use and vegetation parameters in a regional climate model reduce model biases over China[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019,39(12):4825-4837. |
APA | Gou, Jiaojiao,Wang, Fei,Jin, Kai,Mu, Xingmin,&Chen, Deliang.(2019).More realistic land-use and vegetation parameters in a regional climate model reduce model biases over China.INTERNATIONAL JOURNAL OF CLIMATOLOGY,39(12),4825-4837. |
MLA | Gou, Jiaojiao,et al."More realistic land-use and vegetation parameters in a regional climate model reduce model biases over China".INTERNATIONAL JOURNAL OF CLIMATOLOGY 39.12(2019):4825-4837. |
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