An Assessment of the Networks for Measuring and Modelling Solar Radiation in British Columbia and Adjacent Areas of Western Canada

Hay, John E.; Suckling, Philip W.

doi:10.1111/j.1541-0064.1979.tb00659.x

Cited by 42 publications

(16 citation statements)

References 8 publications

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“…The TIGERZ IOP aerosol temporal variability was evaluated at IIT‐Kanpur and spatial variability was determined over an area covering ∼50 km 2 around Kanpur (Figure 1). Spatial variability can be analyzed by comparing one site to many nearby sites using time coincident measurements and observing the change in correlation or coefficient of variability as a function of site separation distance [ Hay and Suckling , 1979; Holben et al , 1991]. Although the TIGERZ IOP data set did not meet temporal requirements for computation of the coefficient of variability, the correlations of coincident observations at 5‐ and 15‐min discrete intervals were analyzed for 6 and 30 May 2008; however, matchups were still statistically insignificant.…”

Section: Tigerz Iop Resultsmentioning

confidence: 99%

Aerosol properties over the Indo-Gangetic Plain: A mesoscale perspective from the TIGERZ experiment

Giles¹,

Holben²,

Tripathi³

et al. 2011

J. Geophys. Res.

161

141

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[1] High aerosol loading over the northern Indian subcontinent can result in poor air quality leading to human health consequences and climate perturbations. The international 2008 TIGERZ experiment intensive operational period (IOP) was conducted in the Indo-Gangetic Plain (IGP) around the industrial city of Kanpur (26.51°N, 80.23°E), India, during the premonsoon (April-June). Aerosol Robotic Network (AERONET) Sun photometers performed frequent measurements of aerosol properties at temporary sites distributed within an area covering ∼50 km 2 around Kanpur to characterize pollution and dust in a region where complex aerosol mixtures and semi-bright surface effects complicate satellite retrieval algorithms. TIGERZ IOP Sun photometers quantified aerosol optical depth (AOD) increases up to ∼0.10 within and downwind of the city, with urban emissions accounting for ∼10-20% of the IGP aerosol loading on deployment days. TIGERZ IOP area-averaged volume size distribution and single scattering albedo retrievals indicated spatially homogeneous, uniformly sized, spectrally absorbing pollution and dust particles. Aerosol absorption and size relationships were used to categorize black carbon and dust as dominant absorbers and to identify a third category in which both black carbon and dust dominate absorption. Moderate Resolution Imaging Spectroradiometer (MODIS) AOD retrievals with the lowest quality assurance (QA ≥ 0) flags were biased high with respect to TIGERZ IOP area-averaged measurements. MODIS AOD retrievals with QA ≥ 0 had moderate correlation (R 2 = 0.52-0.69) with the Kanpur AERONET site, whereas retrievals with QA > 0 were limited in number. Mesoscale-distributed Sun photometers quantified temporal and spatial variability of aerosol properties, and these results were used to validate satellite retrievals.Citation: Giles, D. M., et al. (2011), Aerosol properties over the Indo-Gangetic Plain: A mesoscale perspective from the TIGERZ experiment,

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Section: Tigerz Iop Resultsmentioning

confidence: 99%

Aerosol properties over the Indo-Gangetic Plain: A mesoscale perspective from the TIGERZ experiment

Giles¹,

Holben²,

Tripathi³

et al. 2011

J. Geophys. Res.

161

141

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“…Firstly, as the model is based on the digital model of the surface (in this case roofs), it does not take into account the weather conditions that have a significant impact on the actual solar radiation [47]. This aspect may increase due to future climate change and a constantly increasing amount and duration of periods with extreme weather [48][49][50][51].…”

Section: Discussionmentioning

confidence: 99%

SOLIS—A Novel Decision Support Tool for the Assessment of Solar Radiation in ArcGIS

Kazak

Świąder

2018

Energies

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Abstract:The global Sustainable Development Goals influence the implementation of energy development strategies worldwide. However, in order to support local stakeholders in sustainable energy development strategies and climate change adaptation plans and the implementation of policies, there is a need to equip local decision makers with tools enabling the assessment of sustainable energy investments. In order to do so, the aim of this study is to create a novel tool for the assessment of solar radiation (SOLIS) in ArcGIS. The SOLIS tool builds on the existing ArcGIS algorithm by including input data conversion and post-processing of the results. This should expand the group of potential users of solar radiation analyses. The self-filtering tool excludes surfaces that are not suitable for solar energy investments due to geometrical reasons. The reduction of the size of the output data is positive for technical reasons (speed of the calculation and occupied storage place) and for cognitive reasons (reduction of the number of objects necessary to analyse by the user). The SOLIS tool limits the requirement for users to insert three-dimensional (3D) models of roofs (with any geometry) and select solar radiation calculation periods. The highlight of this research is to develop the decision support tool for the assessment of solar radiation, which would reduce the requirements for potential users, in order to promote indicator-based assessments among non-Geographical Information Systems (GIS) specialists.

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“…For each station pair, the standard deviation of the daily differences of the aerosol optical depth 'a was computed along with the mean of 'a for each station. A coefficient of variability C., defined by Hay and Suckling (1979), was calculated from…”

Section: Analysis Methodologymentioning

confidence: 99%

Temporal and spatial variability of aerosol optical depth in the Sahel region in relation to vegetation remote sensing

Holben

Eck

Fraser

1991

International Journal of Remote Sensing

118

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A network of Sun photometers was established in the Sahel region of Senegal, Mali and Niger in order to monitor the aerosol characteristics needed for atmospheric correction of remotely sensed data. The aerosol optical thickness r. computed from the spectral Sun photometer measurements exhibited very high day-to-day variability ranging from approximately 0·1 to greater than 2·0 at 875 nm for both the wet and dry seasons. A gradient of decreasing r. from north-to-south latitudes in the Sahel for the wet season, July-September, was observed, which may be caused jointly by increased washout owing to the gradient of increasing precipitation to the south and the location of source regions for dust in the north. The Angstrom wavelength exponent c< was found to vary with the magnitude of the aerosol optical thickness, with values as high as 0·75 for very low r., and values of 0·25 to 0·0 for high r. conditions. Analysis of r. data from this observation network suggests that there is a high spatial variability of r. in the western Sahel region. Statistical analysis performed on the wet season data showed that at a 67 per cent confidence level the instantaneous values of r. can be extrapolated approximately 270-400 km with an error tolerance of 50 per cent. Spatial variability in the dry season was of a similar magnitude. The ranges of variations in the NDVI in the Sahel region owing to commonly observed fluctuations in the aerosol optical thickness and aerosol size distribution were shown to be approximately 0·02 and 0'01, respectively.

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An Assessment of the Networks for Measuring and Modelling Solar Radiation in British Columbia and Adjacent Areas of Western Canada

Cited by 42 publications

References 8 publications

Aerosol properties over the Indo-Gangetic Plain: A mesoscale perspective from the TIGERZ experiment

Aerosol properties over the Indo-Gangetic Plain: A mesoscale perspective from the TIGERZ experiment

SOLIS—A Novel Decision Support Tool for the Assessment of Solar Radiation in ArcGIS

Temporal and spatial variability of aerosol optical depth in the Sahel region in relation to vegetation remote sensing

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