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Providing Extensibility to Threat Modelling in Cloud-COVER’s Underlying Analysis Model
2016 European Intelligence and Security Informatics Conference (EISIC), 2016Cloud-COVER is a threat modelling tool allowing users to analyse the way in which threats propagate within theircloud computing deployment. We present extensibility features which allow users to input their own threats, attributes, and connection permissions to Cloud-COVER. This allows users toshift the perspective of the tool to one which better suits
Mustafa Aydin, Jeremy Jacob
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International Journal of Applied Earth Observation and Geoinformation, 2018
Land use and land cover maps can support our understanding of coupled human-environment systems and provide important information for environmental modeling and water resource management.
M. Steinhausen +3 more
semanticscholar +1 more source
Land use and land cover maps can support our understanding of coupled human-environment systems and provide important information for environmental modeling and water resource management.
M. Steinhausen +3 more
semanticscholar +1 more source
Ground level solar radiation prediction model including cloud cover effects
Solar Energy, 1984The model Estimated Solar Radiation (ESR) was developed to predict solar radiation on a horizontal surface for any latitude as a function of total opaque cloud cover. ESR was verified by comparing predicted and observed daily totals of solar radiation on a horizontal surface for Salisbury, Maryland (lat. 38.5°N), and Ely, Nevada (lat.
Russell Brinsfield +2 more
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The Stochastic Two-State Cloud Cover Model STSCCM
Solar Energy, 2011A stochastic model is presented that simulates cloud cover. Implementations reaching from the simple simulation of the steady state probability distribution of cloud cover up to the generation of cloud cover as a function of time are shown. In the model, the steady state probability distribution of cloud cover is invariant to the observation area over ...
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Model estimation for PV generation forecasting using cloud cover information
2016 IEEE International Energy Conference (ENERGYCON), 2016We propose a parametric model approach to photovoltaic generation forecasting. The problem is addressed in the common scenario where measurements of meteorological variables (i.e. solar irradiance and temperature) at the plant site are not available.
Pepe, Danele +2 more
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An opaque cloud cover model of sky short wavelength radiance
Solar Energy, 1988The average angular distribution of short wavelength sky radiance for clear, partly cloudy, and overcast sky conditions has been measured for the range of solar zenith angle 31° to 80°. Detailed analysis of this sky radiance data shows that the normalized sky radiance is given analytically by N(θ, φ) = CN0(θ, φ) + [1−C]NC(θ, φ) where N0(θ, φ) = 0 ...
A.W. Harrison, C.A. Coombes
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A model for the estimation of cloud cover from satellite data
2015 International Conference on Science and Technology (TICST), 2015In this study, an empirical model for estimating cloud cover from satellite data was developed. The skyviews were installed at 4 stations located in Chiang Mai (18.78°N, 98.98°E), Ubon Ratchathani (15.25°N, 104.87°E), Nakhon Pathom (13.82°N, 100.04°E) and Songkhla (7.20°N, 100.60°E) in order to record the images of the sky.
N. Pratummasoot, S. Buntoung, S. Janjai
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Evaluation of model generated cloud cover by means of satellite data
Atmospheric Research, 1995An automated cloud retrieval algorithm has been developed and applied to determine cloud cover from NOAA9 AVHRR (Advanced Very High Resolution Radiometer) satellite data. This satellite derived cloud cover is used to evaluate the model generated cloud cover provided by two different cloud cover parameterization schemes established in a 3-D-chemical ...
N. Mölders, M. Laube, E. Raschke
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Terra Nova, 1997
ABSTRACTGeneral Circulation Models (GCMs) are currently used to predict future global change. However, the robustness of GCMs can, and should, be evaluated by their ability to simulate past climate regimes. Their success in ‘retrodiction’ can then be assessed by reference to the testimony of the geological record.
Bruce W. Sellwood, Paul J. Valdes
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ABSTRACTGeneral Circulation Models (GCMs) are currently used to predict future global change. However, the robustness of GCMs can, and should, be evaluated by their ability to simulate past climate regimes. Their success in ‘retrodiction’ can then be assessed by reference to the testimony of the geological record.
Bruce W. Sellwood, Paul J. Valdes
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Quantitatively assessing cloud cover fraction in numerical weather prediction and climate models
Remote Sensing Letters, 2017ABSTRACTProcedures are presented that exploit remotely-sensed satellite cloud data products to quantitatively assess the accuracy of cloud cover fraction (CCf) in datasets generated by numerical weather prediction (NWP) and climate models. These procedures are demonstrated with analyses created from the North American Mesoscale (NAM) Forecast System ...
Keith D. Hutchison +2 more
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