Coordinated estimates of 4-day 500 m global land surface energy balance components
文献类型：期刊论文
| 作者 | Wang, Junrui1,2; Tang, Ronglin1,2; Liu, Meng3; Jiang, Yazhen1,2; Huang, Lingxiao1,2; Li, Zhao-Liang1,2,3 |
| 刊名 | REMOTE SENSING OF ENVIRONMENT
 |
| 出版日期 | 2025-08-15 |
| 卷号 | 326页码:114795 |
| 关键词 | Surface energy balance components Net radiation Sensible heat flux Latent heat flux Evapotranspiration |
| ISSN号 | 0034-4257 |
| DOI | 10.1016/j.rse.2025.114795 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Accurate estimations of global land surface energy balance components [including net radiation (Rn), latent heat flux (LE), soil heat flux (G) and sensible heat flux (H)] are crucial for quantifying the exchange of heat and water between the land surface and atmosphere. In this study, a novel and practical model for Coordinated estimates of 4-day 500 m global land Surface Energy Balance components (CoSEB) was developed, using the multivariate random forest technique and a synthesis of remote sensing and reanalysis datasets, as well as the extensive observations at 336 eddy-covariance sites worldwide. The CoSEB model effectively balances the estimates of Rn, LE, H, and G by learning the physics of energy conservation embedded in these components within the training datasets. Its advantages include 1) the accurate estimation of the four energy components and their ratios [i.e. evaporation fraction, defined as LE/(Rn-G), which reflects the proportion of surface available energy that is allocated to LE instead of H], and 2) the ability to maintain energy balance among the four energy components, i. e. Rn-G-LE-H = 0. With the 10-fold cross-validation at 286 sites, the CoSEB model achieved the root mean square error (RMSE) of 16.42 W/m2, 16.40 W/m2, 16.49 W/m2, 4.79 W/m2 and 0.22, and the coefficient of determination (R2) of 0.92, 0.86, 0.83, 0.55 and 0.59, respectively, for estimating Rn, LE, H, G and evaporative fraction, which were comparable or superior to those estimated by other typical data-driven uncoordinated and coordinated models. In the validation with test datasets at another 50 eddy-covariance sites, the CoSEB model, with the RMSE of 18.23 W/m2, 17.98 W/m2, and 19.17 W/m2, and the R2 of 0.87, 0.72, 0.71 in estimating Rn, LE, and H, respectively, outperformed all six state-of-the-art algorithms/products, i.e. FLUXCOM, BESSV2.0, MOD16A2, PML_V2, ETMonitor and GLASS. Besides, the CoSEB model successfully maintained energy balance, exhibiting an energy imbalance ratio [EIR, defined as 100% x (Rn-G-LE-H)/Rn] of 0, in comparison to other coordinated and uncoordinated models/products presenting the EIRs of as high as 50%. The new model also produced consistent global patterns with the six state-of-the-art products for each of the Rn, LE, and H estimates at 8-day, monthly, and yearly scales. The CoSEB model is promising for operationally generating high-accuracy global balanced land surface energy components and their ratios, which is essential for rationally partitioning surface available energy into H and LE, and for revealing the spatiotemporal variations of the energy components and their attributions and mechanisms at regional and global scales. |
| URL标识 | 查看原文 |
| WOS关键词 | ARTIFICIAL NEURAL-NETWORKS ; NET-RADIATION ; HEAT-FLUX ; DAILY EVAPOTRANSPIRATION ; EDDY COVARIANCE ; MODIS ; SOIL ; VEGETATION ; REVOLUTION ; ALGORITHM |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001509463400001 |
| 出版者 | ELSEVIER SCIENCE INC |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/214670]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Tang, Ronglin |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Chinese Acad Agr Sci, State Key Lab Efficient Utilizat Arable Land China, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Junrui,Tang, Ronglin,Liu, Meng,et al. Coordinated estimates of 4-day 500 m global land surface energy balance components[J]. REMOTE SENSING OF ENVIRONMENT,2025,326:114795. |
| APA | Wang, Junrui,Tang, Ronglin,Liu, Meng,Jiang, Yazhen,Huang, Lingxiao,&Li, Zhao-Liang.(2025).Coordinated estimates of 4-day 500 m global land surface energy balance components.REMOTE SENSING OF ENVIRONMENT,326,114795. |
| MLA | Wang, Junrui,et al."Coordinated estimates of 4-day 500 m global land surface energy balance components".REMOTE SENSING OF ENVIRONMENT 326(2025):114795. |
入库方式： OAI收割
来源：地理科学与资源研究所
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