A Measurement Based Sensitivity Analysis of the Penman-Monteith Actual Evapotranspiration Model for Crops of Different Height and in Contrasting Water Status

Rana, Gianfranco; Katerji, Nader

doi:10.1007/s007040050039

Cited by 119 publications

(74 citation statements)

References 5 publications

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“…Researchers must consider all aspects in choosing a suitable SA method according to data requirement and research objectives. Local SA has been widely applied and proved to be effective for evapotranspiration model (McCuen 1974;Coleman and DeCoursey 1976;Beven 1979;Qiu et al 1998;Rana and Katerji 1998;Hupet and Vanclooster 2001;Tamm 2002;Gong et al 2006); therefore, local SA was chosen to be applied to estimate the sensitivity of FAO56-PM model in this study.…”

Section: Methodsmentioning

confidence: 99%

Attribution analyses of potential evapotranspiration changes in China since the 1960s

Yin

Chen

et al. 2009

Theor Appl Climatol

195

122

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This paper focuses on the primary causes of changes in potential evapotranspiration (ET o ) in order to comprehensively understand climate change and its impact on hydrological cycle. Based on modified PenmanMonteith model, ET o is simulated, and its changes are attributed by analyzing the sensitivity of ET o to influence meteorological variables together with their changes for 595 meteorological stations across China during the period . Results show the decreasing trends of ET o in the whole country and in most climate regions except the cold temperate humid region in Northeast China. For China as a whole, the decreasing trend of ET o is primarily attributed to wind speed due to its significant decreasing trend and high sensitivity. Relative humidity is the highest sensitive variable; however, it has negligible effect on ET o for its insignificant trend. The positive contribution of temperature rising to ET o is offset by the effect of wind speed and sunshine duration. In addition, primary causes to ET o changes are varied for differing climate regions. ET o changes are attributed to decreased wind speed in most climate regions mainly distributed in West China and North China, to declined sunshine duration in subtropical and tropical humid regions in South China, and to increased maximum temperature in the cold temperate humid region.

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Section: Methodsmentioning

confidence: 99%

Attribution analyses of potential evapotranspiration changes in China since the 1960s

Yin

Chen

et al. 2009

Theor Appl Climatol

195

122

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show abstract

“…The Pcnman-Mont½ith (P-M) equation can be used to make predictions, so methods determining •½rodynamic resistance (r•) and surface canopy resistance (re) must be available at different space and time scales [McNaughton and Jarvis, 1984]. Since reliable models of aerodynamic resistance are available, the greatest difficulty in its application is linked to the correct estimation of canopy resistance [e.g., Rana and Katerji, 1998]. …”

Section: Introductionmentioning

confidence: 99%

“…In these cases, which are common in arid and semiarid environments, canopy resistance must be modeled to correctly estimate ET using the P-M equation [Jarvis et al, 1981;Rana and Katerji, 1998]. Several models have been proposed in order to predict canopy resistance under different crop water conditions [e.g., Jarvis, 1976;Idso, 1983;Hatfield, 1985].…”

Section: Introductionmentioning

confidence: 99%

Evapotranspiration of sweet sorghum: A general model and multilocal validity in semiarid environmental conditions

Rana¹,

Katerji²,

Perniola³

2001

Water Resources Research

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Abstract. A model of canopy resistance r c is presented for the determination of actual crop evapotranspiration using the Penman-Monteith type of model at hourly and daily scales. Here rc is deduced from weather variables (net radiation, air temperature and humidity, and wind speed) and by an indicator of the crop water status measured on the plants: the predawn leaf water potential (i.e., measured before dawn). The model needs a calibration "per crop" and not "per site"; that is, once it is calibrated for a given crop in a certain locality, then it can be used anywhere without further calibration. The model was tested on sorghum crops in different water conditions at two sites in southern Italy for several years. The results showed that it performs well at hourly, daily, and seasonal scales. In fact, the difference between the cumulative values of the actual evapotranspiration measured and the one calculated by the model ranges between -9% and + 11%. We concluded that it is not sensitive to climate and soil type or to crop species and variety.

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“…The PT-JPL and PM-Mu methods are based primarily on the available energy (Rn-G) of the system, with soil moisture being implicitly accounted for by adjusting the air humidity. The Penman (1948) and Penman-Monteith (Monteith, 1965) combination equations that form the theoretical basis for the PT-JPL and PM-Mu models were developed for and tested (Rana and Katerji, 1998;Shahrokhnia and Sepaskhah, 2011;Sumner and Jacobs, 2005) in situations where energy limitations were not present. In contrast, the SEBS model follows a more physically based approach dependent on the turbulent mixing theory (Brutsaert, 2013), which is valid in energy- limited situations similar to those observed during Period 4.…”

Section: Analysis Of Relationship Based On Defined Periodsmentioning

confidence: 99%

Examining the relationship between intermediate-scale soil moisture and terrestrial evaporation within a semi-arid grassland

Jana

Ershadi

McCabe

2016

Hydrol. Earth Syst. Sci.

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Abstract. Interactions between soil moisture and terrestrial evaporation affect water cycle behaviour and responses between the land surface and the atmosphere across scales. With strong heterogeneities at the land surface, the inherent spatial variability in soil moisture makes its representation via point-scale measurements challenging, resulting in scale mismatch when compared to coarser-resolution satellitebased soil moisture or evaporation estimates. The Cosmic Ray Neutron Probe (CRNP) was developed to address such issues in the measurement and representation of soil moisture at intermediate scales.Here, we present a study to assess the utility of CRNP soil moisture observations in validating model evaporation estimates. The CRNP soil moisture product from a pasture in the semi-arid central west region of New South Wales, Australia, was compared to evaporation derived from three distinct approaches, including the Priestley-Taylor (PT-JPL), Penman-Monteith (PM-Mu), and Surface Energy Balance System (SEBS) models, driven by forcing data from local meteorological station data and remote sensing retrievals from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. Pearson's correlations, quantile-quantile (Q-Q) plots, and analysis of variance (ANOVA) were used to qualitatively and quantitatively evaluate the temporal distributions of soil moisture and evaporation over the study site. The relationships were examined against nearly 2 years of observation data, as well as for different seasons and for defined periods of analysis. Results highlight that while direct correlations of raw data were not particularly instructive, the Q-Q plots and ANOVA illustrate that the root-zone soil moisture represented by the CRNP measurements and the modelled evaporation estimates reflect similar distributions under most meteorological conditions. The PT-JPL and PM-Mu model estimates performed contrary to expectation when high soil moisture and cold temperatures were present, while SEBS model estimates displayed a disconnect from the soil moisture distribution in summers with long dry spells. Importantly, no single evaporation model matched the statistical distribution of the measured soil moisture for the entire period, highlighting the challenges in effectively capturing evaporative flux response within changing landscapes. One of the outcomes of this work is that the analysis points to the feasibility of using intermediatescale soil moisture measurements to evaluate gridded estimates of evaporation, exploiting the independent, yet physically linked nature of these hydrological variables.

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A Measurement Based Sensitivity Analysis of the Penman-Monteith Actual Evapotranspiration Model for Crops of Different Height and in Contrasting Water Status

Cited by 119 publications

References 5 publications

Attribution analyses of potential evapotranspiration changes in China since the 1960s

Attribution analyses of potential evapotranspiration changes in China since the 1960s

Evapotranspiration of sweet sorghum: A general model and multilocal validity in semiarid environmental conditions

Examining the relationship between intermediate-scale soil moisture and terrestrial evaporation within a semi-arid grassland

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