Sensitivity of the Penman–Monteith reference evapotranspiration to key climatic variables in the Changjiang (Yangtze River) basin

Gong, Lebing; Xu, Chong‐Yu; Chen, Deliang; Halldin, Sven; Chen, Yongqin David

doi:10.1016/j.jhydrol.2006.03.027

Cited by 384 publications

(282 citation statements)

References 28 publications

(44 reference statements)

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“…Therefore, quantitative estimation on sensitivity of E 0 to meteorological factors is significant in studying the impact of climate change on regional water cycle and water-energy transformation. Saxton (1975) found the most sensitivity factor of E 0 was net radiation in western Iowa; Hupet and Vanclooster (2001) indicated that maximum temperature was the most susceptive factor of E 0 in Belgium; Gong et al (2006) found relative humidity was the most sensitivity factor in the Yangtze River basin; Liu et al (2009) concluded water vapor was the most sensitivity factor in the Haihe River basin. Different estimations of E 0 lead to different sensitivity to meteorological factors.…”

Section: Introductionmentioning

confidence: 99%

Spatial and temporal change in the potential evapotranspiration sensitivity to meteorological factors in China (1960–2007)

et al. 2012

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Potential evapotranspiration (E 0 ), as an estimate of the evaporative demand of the atmosphere, has been widely studied in the fields of irrigation management, crop water demand and predictions in ungauged basins (PUBs). Analysis of the sensitivity of E 0 to meteorological factors is a basic research on the impact of climate change on water resources, and also is important to the optimal allocation of agricultural water resources. This paper dealt with sensitivity of E 0 over China, which was divided into ten drainage systems, including Songhua River basin, Liaohe River basin, Haihe River basin, Yellow River basin, Yangtze River basin, Pearl River basin, Huaihe River drainage system, Southeast river drainage system, Northwest river drainage system and Southwest river drainage system. In addition, the calculation method of global radiation in Penman-Monteith formula was improved by optimization, and the sensitivities of Penman-Monteith potential evapotranspiration to the daily maximum temperature (S Tmax ), daily minimum temperature (S Tmin ), wind speed (S U2 ), global radiation (S Rs ) and vapor pressure (S VP ) were calculated and analyzed based on the long-term meteorological data from 653 meteorological stations in China during the period 1960-2007. Results show that: (1) the correlation coefficient between E 0 and pan evaporation increased from 0.61 to 0.75. E 0 had the decline trends in eight of ten drainage systems in China, which indicates that "pan evaporation paradox" commonly exists in China from 1960 to 2007. (2) Spatially, T max was the most sensitive factor in Haihe River basin, Yellow River basin, Huaihe River drainage system, Yangtze River basin, Pearl River basin and Southeast river drainage system, and VP was the most sensitive factor in Songhua River Basin, Liaohe River basin, Northwest river drainage system while R s was the most sensitive factor in Southwest river drainage system. For the nation-wide average, the most sensitive factor was VP, followed by T max , R s , U 2 and T min . In addition, the changes in sensitivity coefficients had a certain correlation with elevation. (3) Temporally, the maximum values of S Tmax and S Rs occurred in July, while the maximum values of S Tmin , S VP and S U2 occurred in January. Moreover, trend analysis indicates that S Tmax had decline trends, while S Tmin , S U2 , S Rs and S VP had increasing 4 Journal of Geographical Sciences trends.

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Section: Introductionmentioning

confidence: 99%

Spatial and temporal change in the potential evapotranspiration sensitivity to meteorological factors in China (1960–2007)

et al. 2012

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“…The change of reference evapotranspiration to the change of a meteorological variable, when it tends to zero, is the partial derivative of reference evapotranspiration to this variable. A number of sensitivity coefficients can be defined based on dimensionless values of the reference evapotranspiration change for different purposes of sensitivity analysis (McCuen, 1974, Saxton, 1975, Beven, 1979, Gong et al, 2006. The dimensionless values of sensitivity coefficients for different meteorological parameters allow the comparison between them.…”

Section: Sensitivity Analysismentioning

confidence: 99%

“…Babajimopoulos et al (1992) conclude that temperature and solar radiation are the most important variables in the summer, whereas the most important parameter in the winter is relative humidity (wind speed has very small importance). Gong et al (2006) evaluated sensitivity coefficients for the Yangtze River basin and indicated their large spatial variability. Irmak et al (2006) evaluated sensitivity coefficients for areas under different climatic characteristics.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis of different evapotranspiration methods using a new sensitivity coefficient

2013

Issue 3

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The estimation of evapotranspiration is essential in water resources management. Among a group of methods, the Penman-Monteith has been commonly applied to calculate reference evapotranspiration as this method has been also recommended by the Food and Agriculture Organization of the U.N. (FAO). Other methods widely used are: the FAO 24 Penman, the modified Blaney and Criddle, the FAO 24 Makkink, and the Hargreaves.Sensitivity analysis is required to gain a better understanding of the meteorological systems; particularly to indicate the physical meaning of each meteorological parameter used in the estimation of the reference evapotranspiration. Several dimensionless sensitivity coefficients have been proposed, based on the partial derivative of the dependent variable (reference evapotranspiration) to the independent variables (meteorological variables).In this paper, a new sensitivity coefficient is proposed to drive sensitivity analysis of the evapotranspiration methods. The new sensitivity coefficient uses the partial derivative and the standard deviation of each independent variable. The meteorological variables, whose influence has been examined, are all the necessary meteorological parameters for the calculation of reference evapotranspiration, such as temperature, solar radiation, wind speed and relative humidity for each method. Data from the automatic meteorological station of Aminteo in the Prefecture of Florina, Western Macedonia, were used. The sensitivity coefficients were calculated for each month, year and irrigation period. The comparison of the sensitivity coefficients is performed for the month of water peak demand (July), the irrigation period and the year for each evapotranspiration method.Results show that the influence of the variables to evapotranspiration is not the same for each period, and also the order that the variables influence evapotranspiration is changing. A comparison between the five evapotranspiration methods shows that solar radiation and temperature are the main parameters that affect evapotranspiration, while relative humidity and wind speed are not so important for the calculation of evapotranspiration.

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“…However, before these models can be used to estimate ET 0 for a given region, they must be evaluated against either lysimeter measurements or the FAO PenmanMonteith method (Tabari et al, 2013). Gong et al (2006) performed a sensitivity analysis of the FAO PenmanMonteith variables and pointed out the great influence of solar radiation in accurately estimating ET 0 . Availability of solar radiation measurements has proven to be spatially and temporally inadequate for many applications; this has led to research studies focused on estimating this important variable (Belcher and DeGaetano, 2007).…”

Section: Introductionmentioning

confidence: 99%

Reference evapotranspiration estimates based on minimum meteorological variable requirements of historical weather data

Neto¹,

Júnior²,

Andrade

et al. 2015

Chilean J. Agric. Res.

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Reference evapotranspiration (ET 0 ) is critical for agricultural and urban planning, irrigation scheduling, regional water balance studies, and agroclimatological zoning. The objective of this study was to estimate ET 0 based on methods with minimum meteorological variable requirements and on empirical models to predict solar radiation. These alternative methods were compared to the FAO Penman-Monteith method by using more than 80 yr of historical weather data. Alternative methods were adapted from the standard FAO Penman-Monteith or Priestley-Taylor methods, which allow estimating ET 0 when fewer meteorological variables are available. The Hargreaves-Samani method was also analyzed. The mean absolute error, index of agreement, correlation coefficient, and confidence index were used to compare the alternative methods. Results showed that alternative methods based on the maximum and minimum temperatures, sunshine hours, and/ or wind speed are appropriate for estimating ET 0 in the region under study.

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Sensitivity of the Penman–Monteith reference evapotranspiration to key climatic variables in the Changjiang (Yangtze River) basin

Cited by 384 publications

References 28 publications

Spatial and temporal change in the potential evapotranspiration sensitivity to meteorological factors in China (1960–2007)

Spatial and temporal change in the potential evapotranspiration sensitivity to meteorological factors in China (1960–2007)

Sensitivity analysis of different evapotranspiration methods using a new sensitivity coefficient

Reference evapotranspiration estimates based on minimum meteorological variable requirements of historical weather data

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