A novel approach to estimate the clear day global radiation

Baig, A.; Akhter, P.; Mufti, A.

doi:10.1016/0960-1481(91)90112-3

Cited by 52 publications

(25 citation statements)

References 7 publications

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“…Specifically, for air temperature estimation, the method proposed by De Wit et al (1978) is used, which is based on a sinusoidal algorithm considering sunrise and sunset hours. The Baig et al (1991) model is used for incoming shortwave radiation computation based on a Gaussian curve. Rainfall, wind velocity and relative air humidity are assumed constant during the day.…”

Section: Meteorological Ground Stationsmentioning

confidence: 99%

Can satellite land surface temperature data be used similarly to river discharge measurements for distributed hydrological model calibration?

Corbari

Mancini

et al. 2014

Hydrological Sciences Journal

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A new methodology is proposed for the calibration of distributed hydrological models at the basin scale by constraining an internal model variable using satellite data of land surface temperature (LST). The model algorithm solves the system of energy and mass balances in terms of a representative equilibrium temperature that governs the fluxes of energy and mass over the basin domain. This equilibrium surface temperature, which is a critical model state variable, is compared to operational satellite LST, while calibrating soil hydraulic parameters and vegetation variables differently in each pixel, minimizing the errors. This procedure is compared to the traditional calibration using only discharge measurements. The distributed energy water balance model, Flashflood Event-based Spatially-distributed rainfall-runoff Transformation -Energy Water Balance model (FEST-EWB), is used to test this approach. This methodology is applied to the Upper Yangtze River basin (China) using MODIS LST retrieved from satellite data in the framework of the NRSCC-ESA DRAGON-2 Programme. The calibration procedure based on LST seems to outperform the calibration based on discharge, with lower relative error and higher Nash-Sutcliffe efficiency index on cumulated volume.Key words energy water balance model; satellite land surface temperature; river discharge measurements Les données satellitaires de température de surface peuvent-elles être utilisées de la même manière que les mesures de débit au sol pour le calage de modèles hydrologiques distribués ?Résumé Cette étude propose une nouvelle méthodologie de calage des modèles hydrologiques distribués à l'échelle du bassin versant, en contraignant une variable interne du modèle par des données satellitaires de température de surface. L'algorithme du modèle résout le système de bilan de masse et d'énergie au niveau d'une température représentative d'équilibre, qui gouverne les flux de masse et d'énergie sur le domaine du bassin versant. Cette température de surface d'équilibre, qui est une variable d'état clé du modèle, est comparée à la température de surface fournie en routine par des satellites, en calant les paramètres hydrauliques du sol et les variables de végétation différemment dans chaque pixel par minimisation des erreurs. Cette procédure a été comparée au calage traditionnel utilisant seulement les mesures de débit. Le modèle distribué de bilan eauénergie, FEST-EWB (Flash-flood Event-based Spatially-distributed rainfall-runoff Transformation -Energy Water Balance model ; Modèle événementiel et spatialement distribué pour la transformation pluie-débit et le bilan eau-énergie lors des crues éclair) a été utilisé pour tester cette approche, appliquée au bassin amont du fleuve Yangtze, en Chine, en utilisant la température de surface MODIS obtenue à partir de données satellitaires dans le cadre du programme NRSCC-ESA DRAGON-2. La procédure de calage exploitant la température de surface semble être plus performante que le calage basé sur le débit, avec une erreur relative plus faible ...

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Section: Meteorological Ground Stationsmentioning

confidence: 99%

Can satellite land surface temperature data be used similarly to river discharge measurements for distributed hydrological model calibration?

Corbari

Mancini

et al. 2014

Hydrological Sciences Journal

View full text Add to dashboard Cite

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“…Jain (1984, 1988 established DGSRD models, and then Baig et al (1991) and Shazly (1996) respectively introduced correction factors to the Jain model based on a Gaussian distribution function. It is noted that these models propose the assumption that the variation of weather conditions are air temperature at hours n À 2 (°C) t max daily maximum air temperature (°C) t min daily minimum air temperature (°C) a solar azimuth angle (degree) x solar hour angle (degree) x 0 sunrise hour angle, cos…”

Section: Introductionmentioning

confidence: 99%

New decomposition models to estimate hourly global solar radiation from the daily value

Yao

Xiu

et al. 2015

Solar Energy

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“…Among the various attempts to predict the HGSR for any given day of the year, a significant work (Kaplanis and Kaplani 2007) reported a model that discussed about derived constants A and B which are location dependent and requires a one-day measured data. Another model (Baig, Achter, and Mufti 1991), attempts to fit the solar radiation data using Gaussian function, but the parameters in the function are difficult to estimate for locations with scarce recorded data. A higher order polynomial model was proposed by Al-sadah, Ragab, and Arshad (1990) which was found to statistically fit better with the measured data, but it is limited to only standard atmospheric conditions.…”

Section: Introductionmentioning

confidence: 99%

Novel approach in developing hourly global solar radiation model based on peak sunshine hours

Nikhil

Subhakar

2013

International Journal of Sustainable Energy

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The present study explores a novel approach to derive the hourly global solar radiation (HGSR) for any given latitude based on the peak sunshine hours (PSHs). The proposed analytical model describes a relationship between the HGSR and the day length and the PSHs. The applicability of this model is evaluated by comparing the actual and derived values of HGSR for two cities Chennai (13 • 04 N, 80 • 17 E) and New Delhi (29 • 06 N, 77 • 22 E). To judge the goodness of the proposed model a set of error metrics has been developed by evaluating the variation of actual HGSR from the simulated value for a given day over 12 months. The overall average mean bias error for one year is 1.015% and 1.08% for Chennai and New Delhi, respectively. The agreement between the actual and the simulated values is generally good, with an appreciable correlation of 95%. In particular, unlike the other models this approach requires only two inputs which are easily available for any location. The proposed technique is useful for any solar application designer for deriving the hourly solar radiation values for a given day of any location with less available climate data.

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A novel approach to estimate the clear day global radiation

Cited by 52 publications

References 7 publications

Can satellite land surface temperature data be used similarly to river discharge measurements for distributed hydrological model calibration?

Can satellite land surface temperature data be used similarly to river discharge measurements for distributed hydrological model calibration?

New decomposition models to estimate hourly global solar radiation from the daily value

Novel approach in developing hourly global solar radiation model based on peak sunshine hours

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