Intra- and inter-annual dynamics of evaporation over western Lake Erie

This dataset if for a manuscript: Intra- and inter-annual dynamics of evaporation over western Lake Erie, by CHANGLIANG SHAO, JIQUAN CHEN, CAROL A. STEPIEN, HOUSEN CHU, ZUTAO OUYANG. The dataset including six sheets, from figure2 to figure 7 in the manuscript. Information shows as following:

Fig. 2. Monthly mean (a) air temperature (T_a), (b) wind speed (U), (c) vapor pressure deficit (VPD), (d) photosynthetically active radiation (PAR), and total and cumulative (e) rainfall of ~15 m above the water surface at the CB and LI sites over Lake Erie from September 2011 to May 2016. Long-term (1893–2015) average (gray lines) and its 90% quantile intervals (gray shaded areas) are presented in (a).

Fig. 3. Monthly average diurnal course of evaporation at the CB and LI sites in western Lake Erie. Data covered all of the measurement period.

Fig. 4. Seasonal changes of net radiation (R_n) and latent heat flux (LE) at the two Lake Erie sites from 2011 through 2016. The monthly LE variations also are shown. The sine function was used to fit the dynamic seasonal variations (see equation 6). The sinusoidal period was set to 12. 

 Fig. 5. Linear relationships between the monthly lake evaporation (E) and the same month net radiation (R_n) (a and b), and 1-month early R_n (c and d) at the two sites. The lines represent the linear fitted tendency.

Fig. 6. Linear relationship between modeled evaporation (E, Eq. (4)) and the measured values during the entire measurement period, on a monthly basis. The line represents the linear fitted tendency.

Fig. 7. Relationships between latent heat flux (E) and (a, b) the product of U (wind speed) and vapor pressure deficit (VPD), (c, d) VPD, (e, f) air temperature, and (g, h) wind speed at the two sites, on a monthly basis. A linear fit with 95% confidence intervals, the correlation between the variables, and the linear model P value are shown in all plots.