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Spatial and temporal variability in microclimate and evaporation over Lake Kinneret: Experimental evaluation
Year:
1996
Source of publication :
Journal of Applied Meteorology
Authors :
Assouline, Shmuel
;
.
Volume :
35
Co-Authors:
Assouline, S., Watershed Unit, Jordan District, Mekorot, Tiberias, Israel
Mahrer, Y., Seagram Ctr. for Soil and Water Sci., Faculty of Agriculture, Hebrew University of Jerusalem, Rehovot, Israel, Seagram Ctr. for Soil and Water Sci., Faculty of Agriculture, Hebrew University of Jerusalem, P.O. Box 2, Rehovot 76100, Israel
Facilitators :
From page:
1076
To page:
1084
(
Total pages:
9
)
Abstract:
Microclimate characteristics and latent and sensible heat fluxes were measured continuously and simultaneously over Lake Kinneret, Israel, during two consecutive summers at the eastern (Ein Gev) and western shores (Sapir) of the lake. The data were used to characterize the variability in basic meteorological variables (air temperature and humidity, water surface temperature, and wind velocity) and in evaporation rates. Analysis of the data on an hourly basis reveals the combined effect of local physical processes occurring during airflow over water surfaces and the diurnal regional phenomena of the inland penetration of the Mediterranean sea breeze downslope into the area during the afternoon hours. The resulting strong, hot and dry westerly winds at the western coast become weaker, cooler, and more humid as they reach the eastern shore after a delay of 1-2 h. Consequently, the maximum evaporation rate at Sapir was occasionally twice the corresponding rate at Ein Gev. The data on a daily basis depicted the influence of synoptic systems on the regional climate. Commonly, the mean evaporation rate from the entire lake is assumed to be equal to that evaluated at a specific site. Considering the observed variability, this assumption might lead to errors as large as 100% on the daily basis and of 15% on the seasonal basis.
Note:
Related Files :
atmospheric flow
Evaporation
Heat flux
Israel, Lake Kinneret
lake surface
microclimate
spatial variation
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Related Content
More details
DOI :
Article number:
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
30584
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:55
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Scientific Publication
Spatial and temporal variability in microclimate and evaporation over Lake Kinneret: Experimental evaluation
35
Assouline, S., Watershed Unit, Jordan District, Mekorot, Tiberias, Israel
Mahrer, Y., Seagram Ctr. for Soil and Water Sci., Faculty of Agriculture, Hebrew University of Jerusalem, Rehovot, Israel, Seagram Ctr. for Soil and Water Sci., Faculty of Agriculture, Hebrew University of Jerusalem, P.O. Box 2, Rehovot 76100, Israel
Spatial and temporal variability in microclimate and evaporation over Lake Kinneret: Experimental evaluation
Microclimate characteristics and latent and sensible heat fluxes were measured continuously and simultaneously over Lake Kinneret, Israel, during two consecutive summers at the eastern (Ein Gev) and western shores (Sapir) of the lake. The data were used to characterize the variability in basic meteorological variables (air temperature and humidity, water surface temperature, and wind velocity) and in evaporation rates. Analysis of the data on an hourly basis reveals the combined effect of local physical processes occurring during airflow over water surfaces and the diurnal regional phenomena of the inland penetration of the Mediterranean sea breeze downslope into the area during the afternoon hours. The resulting strong, hot and dry westerly winds at the western coast become weaker, cooler, and more humid as they reach the eastern shore after a delay of 1-2 h. Consequently, the maximum evaporation rate at Sapir was occasionally twice the corresponding rate at Ein Gev. The data on a daily basis depicted the influence of synoptic systems on the regional climate. Commonly, the mean evaporation rate from the entire lake is assumed to be equal to that evaluated at a specific site. Considering the observed variability, this assumption might lead to errors as large as 100% on the daily basis and of 15% on the seasonal basis.
Scientific Publication
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