Evaluation of Various Methods for Estimating Global Solar Radiation in the Southeastern United States

Woli, Prem; Paz, Joel O.

doi:10.1175/jamc-d-11-0141.1

Cited by 25 publications

(11 citation statements)

References 43 publications

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“…These data comprised maximum and minimum air temperatures and precipitation only. The daily values of solar radiation for these locations and years were estimated using the WP method described by Woli and Paz [25].…”

Section: Sites and Datamentioning

confidence: 99%

Soil and Variety Effects on the Energy and Carbon Balances of Switchgrass-Derived Ethanol

Woli¹,

Paz²,

Lang³

et al. 2012

JSBS

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This study examined the effects of soil and switchgrass variety on sustainability and eco-friendliness of switchgrassbased ethanol production. Using the Agricultural Land Management Alternatives with Numerical Assessment Criteria (ALMANAC) model, switchgrass biomass yields were simulated for several scenarios of soils and varieties. The yields were fed to the Integrated Biomass Supply Analysis and Logistics (IBSAL) model to compute energy use and carbon emissions in the biomass supply chain, which then were used to compute Net Energy Value (NEV) and Carbon Credit Balance (CCB), the indicators of sustainability and eco-friendliness, respectively. The results showed that the values of these indicators increased in the direction of heavier to lighter soils and on the order of north-upland, south-upland, north-lowland, and south-lowland varieties. The values of NEV and CCB increased in the direction of dry to wet year. Gaps among the varieties were smaller in a dry year than in a wet year. From south to north, NEV and CCB decreased for lowland varieties but increased for upland ones. Thus, the differences among the varieties decreased in the direction of lower to higher latitudes. The study demonstrated that the sustainability and eco-friendliness of switchgrass-based ethanol production could be increased with alternative soil and variety options.

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Section: Sites and Datamentioning

confidence: 99%

Soil and Variety Effects on the Energy and Carbon Balances of Switchgrass-Derived Ethanol

Woli¹,

Paz²,

Lang³

et al. 2012

JSBS

Self Cite

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“…The temperature and precipitation data were obtained from the records and reports of Texas A&M AgriLife Research and Extension Center at Overton. Data for solar radiation were generated using an irradiation model described by Woli and Paz (2012).…”

Section: Methodsmentioning

confidence: 99%

Simulating Winter Wheat Forage Production in the Southern United States Using a Forage Wheat Model

Woli¹,

Rouquette²,

Smith³

et al. 2019

Agronomy Journal

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Core Ideas Winter wheat biomass had one‐phase exponential association with N application rate. A finer, more fertile soil produced more biomass than a coarser, less fertile soil. Biomass significantly decreased with a delay in planting for N rates ≥135 kg ha–1. The effect of the initial drought on biomass was higher with an increase in N rate. The reduction in biomass due to the terminal drought was greatest at 135 kg N ha–1. ABSTRACT Winter wheat (Triticum aestivum L.) is an important component of pastures in the southern United States. This study examined winter wheat biomass responses to N application rate as influenced by soil type, planting date, drought, and El Niño‐Southern Oscillation (ENSO) for the Pineywoods region of Texas using a new forage wheat model that had been incorporated into the Decision Support System for Agrotechnology Transfer suite of crop models. Biomass was simulated for various scenarios comprising two soils, three planting dates, seven N rates, and 74 yr of weather data. The biomass response to N rate was represented by a one‐phase exponential association. Biomass generally peaked at 135 kg N ha−1 on the finer, more fertile Lilbert soil and at 269 kg N ha−1 on the coarser, less fertile Darco soil. Biomass decreased with a delay in planting date at N rates ≥135 kg N ha−1 for Lilbert and ≥202 kg N ha−1 for Darco. The effect of drought during September to October was greater for a higher N rate, the Darco soil, and an earlier planting date. The effect of drought during March to April was greatest at 135 kg N ha−1 and greater on Darco, with up to 45% reduction in biomass compared with 35% on Lilbert. Biomass reduction was up to 45% for the mid‐October planting and 32% for the mid‐September planting. Winter wheat biomass yield was not significantly affected by ENSO. These findings might assist winter wheat forage growers in this region in identifying soil type–, planting date–, and weather‐specific N rates to optimize forage production.

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“…There are many models available for the estimation of global solar radiation [5,6,21]. In the current investigation three different models have been evaluated and the degree of accuracy of each method to fit the measured global solar radiation data is evaluated by the following statistical tests: root mean square error (RMSE), mean bias error (MBE), and mean percentage error (MPE).…”

Section: Statistical Tests and Comparisons Of Modelsmentioning

confidence: 99%

Evaluation of the global solar irradiance in the Vhembe district of Limpopo Province, South Africa, using different theoretical models

MULAUDZI¹,

MALUTA²,

SANKARAN³

2015

Turk J Phys

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An attempt has been made to employ three different theoretical models for the determination of global solar radiation for the climate conditions of the Vhembe district of Limpopo Province in South Africa. The models are: 1) the Angstrom linear-based model, 2) the Hargreaves and Samani (temperature-based) model, and 3) the Garcia model. These models require the following meteorological data inputs: temperature, sunshine hours, and global solar irradiance on the horizontal surface. The regression coefficients from our previous study were also employed in the calculations. A 4-year (2007-2010) global solar irradiance and temperature data set from the Agricultural Research Council and the actual sunshine data set from the South African Weather Services were used. The monthly average global solar irradiance for the four selected areas of study were computed and compared with the in situ data. The results obtained show that the Angstrom linear and temperature-based models are suitable methods for predicting the global solar irradiance in this study area. The difference between the observed and the predicted data is less than 6.5 MJ/(m 2 day). Their root mean square error varies between 0.0112 and 0.0368. Graphical representations of the irradiances versus the days of the year showed high values during summer for all the models used.

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Evaluation of Various Methods for Estimating Global Solar Radiation in the Southeastern United States

Cited by 25 publications

References 43 publications

Soil and Variety Effects on the Energy and Carbon Balances of Switchgrass-Derived Ethanol

Soil and Variety Effects on the Energy and Carbon Balances of Switchgrass-Derived Ethanol

Simulating Winter Wheat Forage Production in the Southern United States Using a Forage Wheat Model

Evaluation of the global solar irradiance in the Vhembe district of Limpopo Province, South Africa, using different theoretical models

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