Evaluating the complementary relationship for estimating evapotranspiration using the multi-site data across north China
文献类型：期刊论文
| 作者 | Zhu, Gao-Feng1; Zhang, Kun1; Li, Xin2,3; Liu, Shao-Min4; Ding, Zhen-Yu5; Ma, Jin-Zhu1; Huang, Chun-Lin2,6; Han, Tuo1; He, Jian-Hua1 |
| 刊名 | AGRICULTURAL AND FOREST METEOROLOGY
 |
| 出版日期 | 2016-12-15 |
| 卷号 | 230页码:33-44 |
| ISSN号 | 0168-1923 |
| 关键词 | Actual evapotranspiration Complementary relationship Granger and gray model North China Temporal scales |
| DOI | 10.1016/j.agrformet.2016.06.006 |
| 通讯作者 | Zhu, Gao-Feng(zhugf@lzu.edu.cn) |
| 英文摘要 | The ability to predict actual evapotranspiration flux (lambda E-a) by physically based evaporanspiration (ET) model is limited globally due to the difficulty in validating the site-specific model parameters. Thus, the approaches for estimating lambda E-a using only routine meteorological variables play a critical role in understanding and predicting hydrological cycle in the context of climate change. In this study, the performance of a complementary relationship (CR) method (Granger and Gray, 1989; GG model) on different timescales (daily and half-hourly) was evaluated using a high-quality dataset of selected 12 eddy covariance flux towers, which encompassed a number of cropland, grassland, evergreen needleleaf forest, desert shrub and wetland sites across northern China. The results indicated that the GG model is applicable in estimating daily lambda E-a for most ecosystems across northern China. However, significant underestimations of daily lambda E-a were found for the croplands (Daman and Dunhuang sites) and the desert shrub (Ejina) in the arid northwest China, which may be attributed to the enhanced lambda E-a by horizontal advection and the deep root water-uptake, respectively. By using the Monin-Obukhov similarity theory with a surface energy balance constraint, the model performance on half-hourly timescale was satisfactory for the 12 tower sites with R-2 ranging from 0.54 to 0.81 and the slopes of Deming regression line between measured and simulated lambda E-a from 0.77 to 1.14. Indeed, the study highlights the need for further investigation of the timescale dependence of the CR-based ET models. (C) 2016 Elsevier B.V. All rights reserved. |
| 收录类别 | SCI |
| WOS关键词 | ADVECTION-ARIDITY APPROACH ; QINGHAI-TIBETAN PLATEAU ; BALANCE CLOSURE PROBLEM ; ROOT WATER-UPTAKE ; REGIONAL EVAPOTRANSPIRATION ; NONSATURATED SURFACES ; BAYESIAN-APPROACH ; SEMIARID CLIMATE ; ALPINE GRASSLAND ; EDDY-COVARIANCE |
| WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
| WOS类目 | Agronomy ; Forestry ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCIENCE BV |
| WOS记录号 | WOS:000389731800004 |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2557500 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | Zhu, Gao-Feng |
| 作者单位 | 1.Lanzhou Univ, Key Lab Western Chinas Environm Syst, Minist Educ, Lanzhou 730000, Peoples R China 2.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Peoples R China 3.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China 4.Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China 5.Chinese Acad Environm Planning, Beijing 100012, Peoples R China 6.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhu, Gao-Feng,Zhang, Kun,Li, Xin,et al. Evaluating the complementary relationship for estimating evapotranspiration using the multi-site data across north China[J]. AGRICULTURAL AND FOREST METEOROLOGY,2016,230:33-44. |
| APA | Zhu, Gao-Feng.,Zhang, Kun.,Li, Xin.,Liu, Shao-Min.,Ding, Zhen-Yu.,...&He, Jian-Hua.(2016).Evaluating the complementary relationship for estimating evapotranspiration using the multi-site data across north China.AGRICULTURAL AND FOREST METEOROLOGY,230,33-44. |
| MLA | Zhu, Gao-Feng,et al."Evaluating the complementary relationship for estimating evapotranspiration using the multi-site data across north China".AGRICULTURAL AND FOREST METEOROLOGY 230(2016):33-44. |
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来源：寒区旱区环境与工程研究所
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