Hourly and Daily Reference Evapotranspiration with ASCE-PM Model for Paraná State, Brazil

Santos, Aline Aparecida dos; Souza, Jorge Luiz Moretti de; Rosa, Stefanie Lais Kreutz

doi:10.1590/0102-77863610009

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…(Itenfisu et al, 2003;Irmak et al, 2005;Ji et al, 2017;Djaman et al, 2018a and b), land use/landcover (e.g. agricultural areas, grass or natural vegetation) (Gavian et al, 2008;Perera et al, 2015;dos Santos et al, 2021), and small and large study areas ranging from point scale to continental scale (Bakhtiari et al, 2017;Perera et al, 2015;Djaman et al, 2018a and b;Althoff et al, 2019) in different parts of the world including Australia, Brazil, Iran, Spain, Turkey, USA, and Western Africa. These studies have shown that ET o computed using both daily and the sum of hourly calculation methods varies in season, according to geographical location, and climatic conditions.…”

Section: Introductionmentioning

confidence: 99%

Differences in Sum-of-Hourly and Daily Reference Evapotranspiration for a Rice-Wheat Cropping System in Ganga Basin, India

Yetbarek

Ojha

2022

Preprint

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Estimating reference evapotranspiration (ET ) at 24 h timesteps has been considered sufficiently accurate for a long time. However, recent advances in weather data acquisition have made it feasible to apply hourly procedures in ET computation. Hourly timesteps can improve the accuracy of ET estimates, as data averaged daily may misrepresent evaporative power during parts of the day. The objective of the present study is to assess the differences between daily ET computations performed on 24 h (ET ) and hourly (ET ) timesteps for rice-wheat cropping systems in the Ganga Basin, India. The meteorological data for computing reference evapotranspiration were collected from an automatic weather station located in an experimental plot at IIT Kanpur, India. Daily and hourly ET computations were performed according to the FAO-PM (Allen et al, 1998) equation for rice and wheat cropping seasons. Diurnal variations of meteorological parameters resulted in underestimation of ET when the daily time step is considered. No significant difference was observed during wet periods. It is also observed that the hourly estimates of ET were able to capture the abrupt changes in climate variables, while the daily ET fails to get it as it considers the average values only. As a result, the sums of hourly values are more reliable for ET estimates in the Ganga Plains.

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Section: Introductionmentioning

confidence: 99%

Differences in Sum-of-Hourly and Daily Reference Evapotranspiration for a Rice-Wheat Cropping System in Ganga Basin, India

Yetbarek

Ojha

2022

Preprint

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Evaluation of Forecast Reference Evapotranspiration for Different Microclimate Regions in California to Enable Prospective Irrigation Scheduling

Hamouda

Zaccaria

Bali

et al. 2022

J. Irrig. Drain Eng.

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Data from NASA Power and surface weather stations under different climates on reference evapotranspiration estimation

Rosa,

Souza,

Santos

2023

Pesq. agropec. bras.

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The objective of this work was to evaluate the data estimated by NASA Power in relation to that measured at surface weather stations under different climates, and to verify the effects of these data on reference evapotranspiration (ETo) estimation. For comparison, data measured at 21 surface weather stations, located in Brazil, Israel, Australia, Portugal, and the United States of America were used, representing different Köppen climate types. The following climatic variables were analyzed daily: maximum (Tmax), mean (Tmean), and minimum (Tmin) air temperatures; wind speed; incident solar radiation; and mean relative humidity (RHmean). Wind speed showed the highest variations and was overestimated in the Cfb, BWh, BSh, and Cfa climates. Tmean and mean wind speed were estimated accurately in the Csa and BWh climates, whereas Tmax and Tmin were underestimated in 13 and 9 climates, respectively; Tmin did not show adequate results in tropical climates. Incident solar radiation was overestimated in all climates, except in BSh, but presented the best statistical indicators among the analyzed variables. The scenarios in which ETo was estimated using the Penman-Monteith method and data from NASA Power were consistent even for the climate type that presented the worst association between measured and estimated data.

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Hourly and Daily Reference Evapotranspiration with ASCE-PM Model for Paraná State, Brazil

Cited by 3 publications

References 11 publications

Differences in Sum-of-Hourly and Daily Reference Evapotranspiration for a Rice-Wheat Cropping System in Ganga Basin, India

Differences in Sum-of-Hourly and Daily Reference Evapotranspiration for a Rice-Wheat Cropping System in Ganga Basin, India

Evaluation of Forecast Reference Evapotranspiration for Different Microclimate Regions in California to Enable Prospective Irrigation Scheduling

Data from NASA Power and surface weather stations under different climates on reference evapotranspiration estimation

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