Intra-Annual and Interannual Dynamics of Evaporation Over Western Lake Erie
文献类型: 外文期刊
第一作者: Shao, Changliang
作者: Shao, Changliang;Shao, Changliang;Chen, Jiquan;Ouyang, Zutao;Chu, Housen;Stepien, Carol A.
作者机构:
关键词: evaporation; extreme climate; Great Lakes; ice cover; latent heat flux; Penman model
期刊名称:EARTH AND SPACE SCIENCE ( 影响因子:2.9; 五年影响因子:3.641 )
ISSN:
年卷期: 2020 年 7 卷 11 期
页码:
收录情况: SCI
摘要: Evaporation (E) is a critical component of the water and energy budget in lake systems yet is challenging to quantify directly and continuously. We examined the magnitude and changes of E and its drivers over Lake Erie-the shallowest and most southern lake of the Laurentian Great Lakes. We deployed two eddy-covariance tower sites in the western Lake Erie Basin-one located nearshore (CB) and one offshore (LI)-from September 2011 through May 2016. Monthly E varied from 5 to 120 mm, with maximum E occurring in August-October. The annual E was 635 +/- 42 (+/- SD) mm at CB and 604 +/- 32 mm at LI. Mean winter (October-March) E was 189 +/- 61 mm at CB and 178 +/- 25 mm at LI, accounting for 29.8% and 29.4% of annual E. Mean daily E was 1.8 mm during the coldest month (January) and 7.4 mm in the warmest month (July). Monthly E exhibited a strong positive linear relationship to the product of wind speed and vapor pressure deficit. Pronounced seasonal patterns in surface energy fluxes were observed with a 2-month lag in E from R-n, due to the lake's heat storage. This lag was shorter than reports regarding other Great Lakes. Difference in E between the offshore and nearshore sites reflected within-lake spatial heterogeneity, likely attributable to climatic and bathymetric differences between them. These findings suggest that predictive models need to consider lake-specific heat storage and spatial heterogeneity in order to accurately simulate lake E and its seasonal dynamics.
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