Multi-model ensemble prediction of terrestrial evapotranspiration across north China using Bayesian model averaging
文献类型：期刊论文
| 作者 | Zhu, Gaofeng1; Li, Xin2; Zhang, Kun1; Ding, Zhenyu3; Han, Tuo1; Ma, Jinzhu1; Huang, Chunlin2; He, Jianhua1; Ma, Ting1 |
| 刊名 | HYDROLOGICAL PROCESSES
 |
| 出版日期 | 2016-07-30 |
| 卷号 | 30期号:16页码:2861-2879 |
| 关键词 | evapotranspiration multi-model intercomparison water-limited ecosystems Bayesian model averaging Penman-Monteith advection-aridity Priestley-Taylor |
| ISSN号 | 0885-6087 |
| DOI | 10.1002/hyp.10832 |
| 通讯作者 | Zhu, Gaofeng(zhugf@lzu.edu.cn) |
| 英文摘要 | Using high-quality dataset from 12 flux towers in north China, the performance of four evapotranspiration (ET) models and the multi-model ensemble approaches including the simple averaging (SA) and Bayesian model average (BMA) were systematically evaluated in this study. The four models were the single-layer Penman-Monteith (P-M) model, the two-layer Shuttleworthe-Wallace (S-W) model, the advection-aridity (A-A) model, and a modified Priestley-Taylor (PT-JPL). Based on the mean value of Taylor skill (S) and the regression slope between measured and simulated ET values across all sites, the order of overall performance of the individual models from the best to the worst were: S-W (0.88, 0.87), PT-JPL (0.80, 1.17), P-M (0.63, 1.73) and A-A (0.60, 1.68) [statistics stated as (Taylor skill, regression slope)]. Here, all models used the same values of parameters, LAI and fractional vegetation cover as well as the forcing meteorological data. Thus, the differences in model performance were mainly attributed to errors in model structure. To the ensemble approach, the BMA method has the advantage of generating more skillful and reliable predictions than the SA scheme. However, successful implementation of BMA requires accurate estimates of its parameters, and some degradation in performance were observed when the BMA parameters generated from the training period were used for the validation period. Thus, it is necessary to explore the seasonal variations of the BMA parameters according the different growth stages. Finally, the optimal conditional density function of half-hourly ET approximated well by the double-exponential distribution. Copyright (c) 2016 John Wiley & Sons, Ltd. |
| 收录类别 | SCI |
| WOS关键词 | LATENT-HEAT FLUX ; ADVECTION-ARIDITY MODEL ; ENERGY-BALANCE CLOSURE ; ATMOSPHERE WATER FLUX ; COMPLEMENTARY RELATIONSHIP ; PENMAN-MONTEITH ; PRIESTLEY-TAYLOR ; REGIONAL EVAPOTRANSPIRATION ; VEGETATION INDEXES ; EVAPORATION MODELS |
| WOS研究方向 | Water Resources |
| WOS类目 | Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000380101700009 |
| 出版者 | WILEY-BLACKWELL |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2557473 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | Zhu, Gaofeng |
| 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, Lanzhou 730000, Peoples R China 3.Chinese Acad Environm Planning, Beijing 100012, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhu, Gaofeng,Li, Xin,Zhang, Kun,et al. Multi-model ensemble prediction of terrestrial evapotranspiration across north China using Bayesian model averaging[J]. HYDROLOGICAL PROCESSES,2016,30(16):2861-2879. |
| APA | Zhu, Gaofeng.,Li, Xin.,Zhang, Kun.,Ding, Zhenyu.,Han, Tuo.,...&Ma, Ting.(2016).Multi-model ensemble prediction of terrestrial evapotranspiration across north China using Bayesian model averaging.HYDROLOGICAL PROCESSES,30(16),2861-2879. |
| MLA | Zhu, Gaofeng,et al."Multi-model ensemble prediction of terrestrial evapotranspiration across north China using Bayesian model averaging".HYDROLOGICAL PROCESSES 30.16(2016):2861-2879. |
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来源：寒区旱区环境与工程研究所
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