Global Evaluation of Runoff Simulation From Climate, Hydrological and Land Surface Models
文献类型：期刊论文
| 作者 | Hou, Ying; Guo, Hui; Yang, Yuting; Liu, Wenbin1 |
| 刊名 | WATER RESOURCES RESEARCH
 |
| 出版日期 | 2023 |
| 卷号 | 59期号:1页码:e2021WR031817 |
| 关键词 | runoff evaluation CMIP6 ISIMIP2a GLDAS climate model global hydrological model land surface model |
| DOI | 10.1029/2021WR031817 |
| 文献子类 | Article |
| 英文摘要 | Recent advances in global hydrological modeling yield many global runoff data sets that are extensively used in global hydrological analyses. Here, we provide a comprehensive evaluation of simulated runoff from 21 global models, including 12 climate models from CMIP6, six global hydrological models from the Inter-Sectoral Impact Model Inter-Comparison Project (ISMIP2a) and three land surface models from the Global Land Data Assimilation System (GLDAS), against observed streamflow in 840 unimpaired catchments globally. Our results show that (a) no model performs consistently better in estimating runoff from all aspects, and all models tend to perform better in more humid regions and non-cold areas; (b) the interannual runoff variability is well represented in ISIMIP2a and GLDAS models, and no model performs satisfactorily in capturing the annual runoff trend; (c) the runoff intra-annual cycle is reasonably captured by all models yet an overestimation of intra-annual variability and an early bias in peak flow timing are commonly found; and (d) model uncertainty leads to a larger uncertainty in runoff estimates than that induced by forcing uncertainty in ISIMIP2a, and model uncertainty in GLDAS is larger than that in ISIMIP2a. Finally, we confirm that the multi-model ensemble is an effective way to reduce uncertainty in individual models except for CMIP6 regarding mean annual magnitude and annual runoff trend. Overall, our findings suggest that assessments/projections of runoff changes based on these global outputs contain great uncertainties and should be interpreted with caution, and call for more advanced, observation-guided ensemble techniques for better large-scale hydrological applications. |
| WOS关键词 | WATER AVAILABILITY ; SCHEMES ; IMPACT ; CMIP5 ; PROJECT ; TRENDS ; UNCERTAINTY ; VARIABILITY ; STREAMFLOW ; ENSEMBLE |
| WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
| WOS记录号 | WOS:000929798600001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200782]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 作者单位 | 1.Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Engn, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hou, Ying,Guo, Hui,Yang, Yuting,et al. Global Evaluation of Runoff Simulation From Climate, Hydrological and Land Surface Models[J]. WATER RESOURCES RESEARCH,2023,59(1):e2021WR031817. |
| APA | Hou, Ying,Guo, Hui,Yang, Yuting,&Liu, Wenbin.(2023).Global Evaluation of Runoff Simulation From Climate, Hydrological and Land Surface Models.WATER RESOURCES RESEARCH,59(1),e2021WR031817. |
| MLA | Hou, Ying,et al."Global Evaluation of Runoff Simulation From Climate, Hydrological and Land Surface Models".WATER RESOURCES RESEARCH 59.1(2023):e2021WR031817. |
入库方式： OAI收割
来源：地理科学与资源研究所
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