Radiation calibration of FAO56 Penman–Monteith model to estimate reference crop evapotranspiration in China

Yin, Yongguang; Wu, Shaohong; Du, Zheng; Qinye, Yang

doi:10.1016/j.agwat.2007.09.002

Cited by 159 publications

(76 citation statements)

References 27 publications

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“…Potential evapotranspiration was simulated by the radiationmodified FAO56-Penman-Monteith model (FAO56-PM; Yin et al 2008). The trend of the time series (T) in past 48 years was calculated using the conventional leastsquares linear fitting method.…”

Section: Methodsmentioning

confidence: 99%

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

Yin

Chen

et al. 2009

Theor Appl Climatol

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192

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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

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192

121

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“…As the magnitude of the daytime soil-heat flux beneath the grass reference surface is relatively small, it can be ignored (Allen et al, 1998). Gauge-based ET o is estimated based on the radiation-calibrated FAO56 Penman-Monteith model, which uses the calibrated Ångström solar radiation formula (Yin et al, 2008).…”

Section: Meteorological Data and Model Performance Matricmentioning

confidence: 99%

Projections of aridity and its regional variability over China in the mid‐21st century

Yin

et al. 2015

Intl Journal of Climatology

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ABSTRACT:The effects of aridity on ecosystems and water cycles are pronounced and have received considerable attention. However, aridity changes due to future warming and its regional variability over China remain uncertain. This paper aims to identify the spatiotemporal variations in aridity and its key influencing factors over China in the mid-21st century based on five general circulation models (GCMs) and four representative concentration pathway (RCP) scenarios. An aridity index (AI), defined as the ratio of reference evapotranspiration (ET o ) to precipitation (P), was calculated. We show that the GCM ensemble means are able to reproduce the variation of aridity during the baseline period. Generally, ET o anomalies are consistently positive. Other than for the RCP2.6 low-emission scenario, precipitation and aridity are both projected to increase. There are pronounced regional differences in aridity changes; i.e. wetter across most of western China and drier across most of eastern China in the mid-21st century. Negative AI anomalies in western China can be attributed mainly to the projected increase in precipitation. In eastern China, the AI was higher despite positive precipitation anomalies, due mainly to the greater effect of climate change on increasing atmospheric moisture demand. This suggests that evapotranspiration demand should be incorporated into aridity changes under future warming.

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“…After comparing many models the FAO and International Commission on Irrigation and Drainage working groups recently recommended using FAO56 (Allen et al 1998). Many studies indicated that FAO56 was better than the other two modules for calculating evapotranspiration and resulted in better simulations of biomass and yield (Jamieson et al 1998;Ines et al 2001;Irmak et al 2003a, b;Sau et al 2004;Lo´pez-Cedro´n et al 2008;Yin et al 2008). We, therefore, chose the FAO56 option for calculating potential evapotranspiration.…”

Section: Model Descriptionmentioning

confidence: 99%

Improving SHAW long-term soil moisture prediction for continuous wheat rotations, Alberta, Canada

Wang¹,

Flerchinger²,

Lemke³

et al. 2010

Can. J. Soil. Sci.

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Sprout, C. 2010. Improving SHAW long-term soil moisture prediction for continuous wheat rotations, Alberta, Canada. Can. J. Soil Sci. 90: 37Á53. The Decision Support System for Agrotechnology Transfer-Cropping System Model (DSSAT-CSM) is a widely used modeling package that often simulates wheat yield and biomass well. However, some previous studies reported that its simulation on soil moisture was not always satisfactory. On the other hand, the Simultaneous Heat and Water (SHAW) model, a more sophisticated, hourly time step soil microclimate model, needs inputs of plant canopy development over time, which are difficult to measure in the field especially for a long-term period (longer than a year). The SHAW model also needs information on surface residue, but treats them as constants. In reality, however, surface residue changes continuously under the effect of tillage, rotation and environment. We therefore proposed to use DSSAT-CSM to simulate dynamics of plant growth and soil surface residue for input into SHAW, so as to predict soil water dynamics. This approach was tested using three conventionally tilled wheat rotations (continuous wheat, wheat-fallow and wheat-wheat-fallow) of a long-term cropping systems study located on a Thin Black Chernozemic clay loam near Three Hills, Alberta, Canada. Results showed that DSSAT-CSM often overestimated the drying of the surface layers in wheat rotations, but consistently overestimated soil moisture in the deep soil. This is likely due to the underestimation of root water extraction despite model predictions that the root system reached 80 cm. Among the eight growth/residue parameters simulated by DSSAT-CSM, root depth, leaf area index and residue thickness are the most influential characteristics on the simulation of soil moisture by SHAW. The SHAW model using DSSAT-CSM-simulated information significantly improved prediction of soil moisture at different depths and total soil water at 0Á120 cm in all rotations with different phases compared with that simulated by DSSAT-CSM.Key words: Soil moisture, modeling, Decision Support System for Agrotechnology Transfer-Cropping System Model, Simultaneous Heat and Water ModelWang, H., Flerchinger, G. N., Lemke, R., Brandt, K., Goddard, T. et Sprout, C. 2010. Ame´lioration du mode`le SHAW pour la pre´vision a`long terme de la teneur en eau du sol avec la monoculture du ble´en Alberta (Canada). Can. J. Soil Sci. 90: 37Á53. Le Decision Support System for Agrotechnology Transfer-Cropping System Model (DSSAT-CSM) est un mode`le largement utilise´qui simule souvent bien le rendement et la biomasse du ble´. Quelques e´tudes ante´rieures rapportaient ne´anmoins que ce mode`le ne simule pas toujours de manie`re satisfaisante la teneur en eau du sol. De son coˆte´, le mode`le SHAW (Simultaneous Heat and Water), qui simule de manie`re plus complexe le microclimat du sol d'heure en heure, a besoin de donne´es sur le de´veloppement de la ve´ge´tation dans le temps, donne´es difficiles a`obtenir sur le terrain, surtout sur de longues pe´riode...

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Radiation calibration of FAO56 Penman–Monteith model to estimate reference crop evapotranspiration in China

Cited by 159 publications

References 27 publications

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

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

Projections of aridity and its regional variability over China in the mid‐21st century

Improving SHAW long-term soil moisture prediction for continuous wheat rotations, Alberta, Canada

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