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Intra‐Annual and Interannual Dynamics of Evaporation Over Western Lake Erie
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757182/ https://www.ncbi.nlm.nih.gov/pubmed/33381614 http://dx.doi.org/10.1029/2020EA001091 |
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author | Shao, Changliang Chen, Jiquan Chu, Housen Stepien, Carol A. Ouyang, Zutao |
author_facet | Shao, Changliang Chen, Jiquan Chu, Housen Stepien, Carol A. Ouyang, Zutao |
author_sort | Shao, Changliang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7757182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77571822020-12-28 Intra‐Annual and Interannual Dynamics of Evaporation Over Western Lake Erie Shao, Changliang Chen, Jiquan Chu, Housen Stepien, Carol A. Ouyang, Zutao Earth Space Sci Research Articles 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. John Wiley and Sons Inc. 2020-11-23 2020-11 /pmc/articles/PMC7757182/ /pubmed/33381614 http://dx.doi.org/10.1029/2020EA001091 Text en ©2020. The Authors. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Shao, Changliang Chen, Jiquan Chu, Housen Stepien, Carol A. Ouyang, Zutao Intra‐Annual and Interannual Dynamics of Evaporation Over Western Lake Erie |
title | Intra‐Annual and Interannual Dynamics of Evaporation Over Western Lake Erie |
title_full | Intra‐Annual and Interannual Dynamics of Evaporation Over Western Lake Erie |
title_fullStr | Intra‐Annual and Interannual Dynamics of Evaporation Over Western Lake Erie |
title_full_unstemmed | Intra‐Annual and Interannual Dynamics of Evaporation Over Western Lake Erie |
title_short | Intra‐Annual and Interannual Dynamics of Evaporation Over Western Lake Erie |
title_sort | intra‐annual and interannual dynamics of evaporation over western lake erie |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757182/ https://www.ncbi.nlm.nih.gov/pubmed/33381614 http://dx.doi.org/10.1029/2020EA001091 |
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