A hierarchical Bayesian approach for multi-site optimization of a satellite-based evapotranspiration model
文献类型：期刊论文
| 作者 | Su, Yonghong1; Feng, Qi1; Zhu, Gaofeng2; Gu, Chunjie2; Wang, Yunquan3; Shang, Shasha2; Zhang, Kun2; Han, Tuo2; Chen, Huiling2; Ma, Jinzhu2 |
| 刊名 | HYDROLOGICAL PROCESSES
 |
| 出版日期 | 2018-12-30 |
| 卷号 | 32期号:26页码:3907-3923 |
| ISSN号 | 0885-6087 |
| 关键词 | differential evolution Markov chain algorithm evaporation evapotranspiration hierarchical Bayesian method process-based ET model transpiration |
| DOI | 10.1002/hyp.13298 |
| 通讯作者 | Zhu, Gaofeng(zhugf@lzu.edu.cn) |
| 英文摘要 | Modelling is an important tool in simulating and partitioning evapotranspiration (ET). To obtain realistic partitioning of ET, a hierarchical Bayesian (HB) method was used to fit the Priestly-Taylor Jet Propulsion Laboratory (PT-JPL) model against the multi-tower Flux Network (FLUXNET) datasets. Unique to the HB method is its ability to exchange of information between sites and simultaneously estimate the species-and PFT-level parameters. The results suggested that the sensitive parameters varied at the both species and PFT levels. The parameter beta (water control of soil evaporation) exhibited relatively wide species-and PFT-level posterior distributions, indicating that the original parameterization of soil moisture constraint may be problematic. Generally, the model with parameters determined by the HB approach showed better performance in predicting and partitioning ET than the original model, especially in evergreen needleleaf forests, open shrublands, closed shrublands, and woody savannas. To overcome the problem of parameter uncertainty (equifinality), direct observations of different components of ET are urgently needed in future studies, and assessments the extent to which the parameter uncertainties are reduced by the use of additional data. |
| 收录类别 | SCI |
| WOS关键词 | DIFFERENTIAL EVOLUTION ; CARBON-DIOXIDE ; CLIMATE-CHANGE ; HEAT-FLUX ; TRANSPIRATION ; WATER ; EVAPORATION ; ALGORITHM ; VARIABILITY ; PARAMETERIZATION |
| WOS研究方向 | Water Resources |
| WOS类目 | Water Resources |
| 语种 | 英语 |
| 出版者 | WILEY |
| WOS记录号 | WOS:000452789800007 |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2558223 |
| 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.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Ecohydrol Inland River Basin, Lanzhou, Gansu, Peoples R China 2.Lanzhou Univ, Minist Educ, Lab Western Chinas Environm Syst, Lanzhou 730000, Gansu, Peoples R China 3.China Univ Geosci, Sch Environm Studies, Wuhan, Hubei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Su, Yonghong,Feng, Qi,Zhu, Gaofeng,et al. A hierarchical Bayesian approach for multi-site optimization of a satellite-based evapotranspiration model[J]. HYDROLOGICAL PROCESSES,2018,32(26):3907-3923. |
| APA | Su, Yonghong.,Feng, Qi.,Zhu, Gaofeng.,Gu, Chunjie.,Wang, Yunquan.,...&Ma, Jinzhu.(2018).A hierarchical Bayesian approach for multi-site optimization of a satellite-based evapotranspiration model.HYDROLOGICAL PROCESSES,32(26),3907-3923. |
| MLA | Su, Yonghong,et al."A hierarchical Bayesian approach for multi-site optimization of a satellite-based evapotranspiration model".HYDROLOGICAL PROCESSES 32.26(2018):3907-3923. |
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来源：寒区旱区环境与工程研究所
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