Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018WR023250 |
High-Resolution Global Water Temperature Modeling | |
Wanders, Niko1,2; van Vliet, Michelle T. H.3; Wada, Yoshihide1,4; Bierkens, Marc F. P.1,5; van Beek, Ludovicus P. H. (Rens)1 | |
2019-04-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:4页码:2760-2778 |
文章类型 | Article |
语种 | 英语 |
国家 | Netherlands; USA; Austria |
英文摘要 | The temperature of river water plays a crucial role in many physical, chemical, and aquatic ecological processes. Despite the importance of having detailed information on this environmental variable at locally relevant scales (<= 50 km), high-resolution simulations of water temperature on a large scale are currently lacking. We have developed the dynamical 1-D water energy routing model (DynWat), that solves both the energy and water balance, to simulate river temperatures for the period 1960-2014 at a nominal 10-km and 50-km resolution. The DynWat model accounts for surface water abstraction, reservoirs, riverine flooding, and formation of ice, enabling a realistic representation of the water temperature. We present a novel 10-km water temperature data set at the global scale for all major rivers, lakes, and reservoirs. Validated results against 358 stations worldwide indicate a decrease in the simulated root-mean-square error (0.2 degrees C) and bias (0.7 degrees C), going from 50- to 10-km simulations. We find an average global increase in water temperature of 0.16 degrees C per decade between 1960 and 2014, with more rapid warming toward 2014. Results show increasing trends for the annual daily maxima in the Northern Hemisphere (0.62 degrees C per decade) and the annual daily minima in the Southern Hemisphere (0.45 degrees C per decade) for 1960-2014. The high-resolution modeling framework not only improves the model performance, it also positively impacts the relevance of the simulations for regional-scale studies and impact assessments in a region without observations. The resulting global water temperature data set could help to improve the accuracy of decision-support systems that depend on water temperature estimates. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000468597900012 |
WOS关键词 | AIR-TEMPERATURE ; CLIMATE-CHANGE ; STREAM ; DISCHARGE ; FRAMEWORK ; FLOWS |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/182217 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Utrecht, Dept Phys Geog, Utrecht, Netherlands; 2.Princeton Univ, Dept Civil & Environme Engn, Princeton, NJ 08544 USA; 3.Wageningen Univ, Water Syst & Global Change Grp, Wageningen, Netherlands; 4.Int Inst Appl Syst Anal, Laxenburg, Austria; 5.Deltares, Utrecht, Netherlands |
推荐引用方式 GB/T 7714 | Wanders, Niko,van Vliet, Michelle T. H.,Wada, Yoshihide,et al. High-Resolution Global Water Temperature Modeling[J]. WATER RESOURCES RESEARCH,2019,55(4):2760-2778. |
APA | Wanders, Niko,van Vliet, Michelle T. H.,Wada, Yoshihide,Bierkens, Marc F. P.,&van Beek, Ludovicus P. H. .(2019).High-Resolution Global Water Temperature Modeling.WATER RESOURCES RESEARCH,55(4),2760-2778. |
MLA | Wanders, Niko,et al."High-Resolution Global Water Temperature Modeling".WATER RESOURCES RESEARCH 55.4(2019):2760-2778. |
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