Estimating daily solar radiation in the Argentine Pampas

Podestá, Guillermo; Núñez, Liliana; Villanueva, Carlos; Skansi, Marı́a A.

doi:10.1016/j.agrformet.2003.11.002

Cited by 88 publications

(43 citation statements)

References 44 publications

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“…Non-linear models have also been proposed for estimating daily R g from common meteorological variables. A generalized additive model (GAM) linking proxies of cloudiness and atmospheric humidity to R g was proposed by Podestá et al (2004). It is not uncommon that the nature of the relationship between one or more independent variables and a dependent variable changes over the range of the independent variables.…”

Section: Estimation Using Temperature Data (Cd H and Plr Models)mentioning

confidence: 99%

“…On overcast or rainy days, cloudiness reduces incoming radiation during daytime and outgoing radiation at night (Podestá et al 2004). Donatelli & Campbell (1998) developed an approach which estimates R g on any given Day i as the product between R A and a clear sky transmissivity coefficient τ:…”

Section: Estimation Using Temperature Data (Cd H and Plr Models)mentioning

confidence: 99%

“…Global solar radiation (R g ) reaching the earth's surface is the energy source for photosynthesis and evapotranspiration (Podestá et al 2004), and an important input parameter for crop growth simulation models used in decision making. In most countries, including Greece, long and continuous records of daily R g are scarce because of the cost of the measuring instruments required, as well as their difficult maintenance and calibration (Hunt et al 1998).…”

Section: Introductionmentioning

confidence: 99%

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Estimation of solar radiation and its application to crop simulation models in Greece

Mavromatis¹

2008

Clim. Res.

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Lack of data on site-specific daily solar radiation (R g ) is a significant impediment for most crop modeling applications. For this reason, 5 methods for estimating R g were tested: the Ångström-Prescott equation (AP), the Supit -van Kappel formula (SK) and 3 temperature-based methods: Campbell-Donatelli model, Hargreaves equation, and piecewise multiple linear regressions with a breakpoint (PLR). To overcome the lack of long and continuous time series of R g measurements at multiple sites, satellite-derived R g from the HelioClim-1 database were tested against observations from 2 stations, and then interpolated for 12 additional stations. When sunshine duration data were available, the AP equation was best, because it (1) produced intercepts and slopes closest to zero and unity, respectively and (2) had the lowest relative RMSE (9 to 18.6%). When cloud cover observations and data on maximum and minimum temperatures were available, the SK equation was equally effective as AP in most assessment metrics. When the only data for a site were daily maximum and minimum temperatures, the PLR approach with a breakpoint, which reflects the value at which the response of daily R g changes as a function of the extraterrestrial solar radiation R A and the diurnal temperature range, performed best. The mean relative RMSE of the PLR approach was < 3.7% higher than that of AP. The SK equation provided the most suitable simulation of measured R g for the CERES-Wheat crop model, while among the temperature-based methods PLR produced the smallest yield errors. Future validation efforts should explore the validity of the PLR model in other regions and under regimes with greater availability of R g data KEY WORDS: Solar radiation estimation · Crop simulation models · Piecewise multiple linear regression · GreeceResale or republication not permitted without written consent of the publisher

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Section: Estimation Using Temperature Data (Cd H and Plr Models)mentioning

confidence: 99%

Section: Estimation Using Temperature Data (Cd H and Plr Models)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Estimation of solar radiation and its application to crop simulation models in Greece

Mavromatis¹

2008

Clim. Res.

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“…where f [RSSH] represents the various regression models used as displayed in Table II for the UAE and the three cities under study [10]- [15]. The empirical regression models are generated with the help of MATLAB © software and verified using IBM-SPSS © software.…”

Section: Global Solar Radiation Modelsmentioning

confidence: 99%

Global and Diffuse Solar Radiation in the United Arab Emirates

Hejase¹,

Assi²

2013

IJESD

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Abstract-This paper presents empirical regression models for predicting the daily and monthly average global solar radiation in the United Arab Emirates (UAE) based on 9-year measured data. It also computes the diffuse solar radiation based on well-established models. The UAE enjoys plenty of sunny days with an annual average of 9.6 daily sunshine hours. This attests to the abundance of solar and its potential to produce clean energy sources.

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“…Actually, models that estimate solar radiation from sunshine hour fared better than models involving at temperature and precipitation by 8,9,10 . However it is known that sunshine hour is not measured even in the most of standard meteorological stations as ambient temperature and precipitation.…”

Section: Introductionmentioning

confidence: 99%