Observational study on complementary relationship between pan evaporation and actual evapotranspiration and its variation with pan type

Zuo, Hongchao; Chen, Bolong; Wang, Shixin; Guo, Yang; Zuo, Bo; Wu, Leying; Gao, Xiaoqing

doi:10.1016/j.agrformet.2016.03.002

Cited by 52 publications

(23 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[], and Zuo et al . [], among many others. The complementary principle is appealing because of its physical plausibility and the fact that it requires only routine meteorological variables.…”

Section: Introductionmentioning

confidence: 99%

“…Among the early proponents, Brutsaert and Stricker [1979] and Morton [1983] further advanced this idea by developing, respectively, the advection-aridity approach and the complementary relationship areal evapotranspiration method. Subsequently an increasing number of studies in hydrology have made use of Bouchet's complementary principle or its extension by Brutsaert and Parlange [1998]; these include Granger [1989], Granger and Gray [1989], Lemeur and Zhang [1990], Hobbins et al [2001], Kahler and Brutsaert [2006], Szilagyi [2007], Han et al [2011], Han et al, [2012], Brutsaert [2015], Aminzadeh et al [2016], and Zuo et al [2016], among many others. The complementary principle is appealing because of its physical plausibility and the fact that it requires only routine meteorological variables.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of land surface evaporation using a generalized nonlinear complementary relationship

2017

View full text Add to dashboard Cite

Evaporation is a key component of the hydrological cycle and affects regional water resources. Although the physics of evaporation is well understood, its estimation in practice remains a challenge. Among available methods for estimating it, the complementary principle of Bouchet has the potential to provide a practical tool for regional water resources assessment. In this study, the generalized nonlinear formulation of this principle by Brutsaert (2015) was tested against evaporation measurements from four flux stations in Australia under different climatic and vegetation conditions. The method was implemented using meteorological data and Class A pan evaporation measurements. After calibration the estimated daily evaporation values were in good agreement with flux station measurements with a mean correlation coefficient of 0.83 and a bias of 4% on average. More accurate estimates of daily evaporation were obtained when the evaporative demand or apparent potential evaporation was determined from the Penman equation instead of from pan evaporation. The obtained parameter values were found to lie well within the ranges of reported values in the literature. Advantages of the method are that only routine meteorological data are required and that it can be used to estimate long‐term evaporation trends.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimation of land surface evaporation using a generalized nonlinear complementary relationship

2017

View full text Add to dashboard Cite

show abstract

“…These devices are used by meteorological and climate scientists, agricultural scientists, and hydrologists [12,20,21]. Although pan evaporation (E pan ) measured from various types of evaporimeters cannot completely represent the actual evaporation [22,23], it can provide in-depth Supported by a wood frame and the bottom is 5 cm higher than ground, popular in USA.…”

Section: Introductionmentioning

confidence: 99%

Spatial Patterns and Influence Factors of Conversion Coefficients between Two Typical Pan Evaporimeters in China

Liu

Liang

2016

Water

View full text Add to dashboard Cite

Pan measurement is a reliable and efficient method for indicating the evaporative demand of the atmosphere. There are several types of pan evaporimeters worldwide, and the estimation of the conversion coefficients (K p ) between them is necessary in hydrologic research. In China, E601B pans were installed at all meteorological stations beginning in 1998. They replaced the 20 cm pans (φ20). To fully use the records from the two pans and obtain long-term pan evaporation, the spatial patterns of K p between φ20 and E601B and the factors that influence K p are investigated based on records from 573 national meteorological stations from 1998 to 2001. In this study, The results show that higher K p values are found in southwestern regions and lower values are found in northeastern regions during the warm seasons (from May to September), while K p values are lower during warm seasons than during cold seasons (from October to April the following year). In addition, net radiation was found to be the dominant climate factor that affects variations in K p , followed by relative humidity and the vapor pressure deficit. This study can improve the benefit of not only the selection of appropriate evaporimeters by meteorological departments, but also of the study of temporal variability and trends in the evaporative demand.

show abstract

“…The consistent performance of E p calculated by the FAO Penman-Monteith model further confirms that the R n following the FAO was better ( Figure 5). In contrast to the Class A and φ20, the E601 was embedded into the soil with its rim 30 cm above the ground and surrounded by four arc water troughs 20 cm in width that reduce the edge effects of turbulence generated by the rim of the pan [14,43]. Thus we thought the R n above the surface of the E601 was overestimated.…”

Section: Pan Evaporationmentioning

confidence: 76%

Simulation of Pan Evaporation and Application to Estimate the Evaporation of Juyan Lake, Northwest China under a Hyper-Arid Climate

Feng

et al. 2017

Water

View full text Add to dashboard Cite

Because of its nature, lake evaporation (E L ) is rarely measured directly. The most common method used is to apply a pan coefficient (K p ) to the measured pan evaporation (E p ). To reconstruct the long sequence dataset of E p , this study firstly determined the conversion coefficients of E p of two pans (φ20 and E601, each applied to a different range of years) measured synchronously at the nearest meteorological station during the unfrozen period through 1986 to 2001, and then E p was estimated by the PenPan model that developed to the Class A pan and applied to quantify the E L of the Juyan Lake, located in the hyper-arid area of northwest China. There was a significantly linear relationship between the E601 and φ20 with the conversion coefficients of 0.60 and 0.61 at daily and monthly time scales, respectively. The annual E p based on monthly conversion coefficients was estimated at 2240.5 mm and decreased by 6.5 mm per year, which was consistent with the declining wind speed (U) during the 60 years from 1957 to 2016. The E p simulated by the PenPan model with the modified net radiation (R n ) had better performance (compared to E p measured by E601) than the original PenPan model, which may be attributed to the overestimated R n under the surface of E601 that was embedded in the soil rather than above the ground similar to the Class A and φ20. The measured monthly E L and E p has a significantly linear relationship during the unfrozen period in 2014 and 2015, but the ratio of E p to E L , i.e., K p varied within the year, with an average of 0.79, and was logarithmically associated with U. The yearly mean E L with full lake area from 2005 to 2015 was 1638.5 mm and 1385.6 mm, calculated by the water budget and the PenPan model with the modified R n , respectively; the latter was comparable to the surface runoff with an average of 1462.9 mm. In conclusion, the PenPan model with the modified R n has good performance in simulating E p of the E601, and by applying varied K p to the model we can improve the estimates of lake evaporation.

show abstract

Observational study on complementary relationship between pan evaporation and actual evapotranspiration and its variation with pan type

Cited by 52 publications

References 61 publications

Estimation of land surface evaporation using a generalized nonlinear complementary relationship

Estimation of land surface evaporation using a generalized nonlinear complementary relationship

Spatial Patterns and Influence Factors of Conversion Coefficients between Two Typical Pan Evaporimeters in China

Simulation of Pan Evaporation and Application to Estimate the Evaporation of Juyan Lake, Northwest China under a Hyper-Arid Climate

Contact Info

Product

Resources

About