Characterization of cloud cover with a smartphone camera

References

• Calbó, J.; Pages, D.; Gonzalez, J. Empirical Studies of Cloud Effects on UV radiation: A Review. Rev. Geophys. 2005, 43, RG2002.
   Web of Science ®Google Scholar
• Sabburg, J.; Parisi, A.V. Spectral Dependency of Cloud Enhanced UV Irradiance. Atmos. Res. 2006, 81, 206–214.
   Web of Science ®Google Scholar
• Parisi, A.V.; Downs, N. Variation of the Enhanced Biologically Damaging Solar UV due to Clouds. Photchem. Photobiol. Sci. 2004, 3, 643–647.
   Web of Science ®Google Scholar
• Seckmeyer, G.; Erb, R.; Albold, A. Transmittance of a Cloud is Wavelength-dependent in the UV-range. Geophys. Res. Lett. 1996, 23, 2753–2755.
   Web of Science ®Google Scholar
• Sabburg, J.M.; Parisi, A.V.; Kimlin, M.G. Enhanced Spectral UV Irradiance: A One Year Preliminary Study. Atmos. Res. 2003, 66(4), 261–272.
   Web of Science ®Google Scholar
• Parisi, A.V.; Sabburg, J.; Turner, J.; Dunn, P. Cloud Observations for the Statistical Evaluation of the UV index at Toowoomba, Australia. Int. J. Biomet. 2008, 52, 159–166.
   PubMed Web of Science ®Google Scholar
• World Meteorological Organization (WMO). Guide to Meteorological Instruments and Methods of Observation; World Meteorological Organisation, 1983; WMO No. 8, 5th ed., Ch. 11: 11.2.
   Google Scholar
• Tapakis, R.; Charalambides, A.G. Equipment and Methodologies for Cloud Detection and Classification: A Review. Solar Energy 2013, 95, 392–400.
   Web of Science ®Google Scholar
• Shields, J.E.; Johnson, R.; Koehler, T.L. Automated Whole Sky Imaging Systems for Cloud Field Assessment. Proceedings of the Fourth Symposium on Global Change Studies, Boston, Jan 17–22, 1993; American Meteorological Society.
   Google Scholar
• Shields, J.E.; Karr, M.E.; Johnson, R.W.; Burden, A.R. Day/night Whole Sky Imagers for 24-h Cloud and Sky Assessment: History and Overview. J. Appl. Opt. 2013, 52, 1605–1616.
   PubMed Web of Science ®Google Scholar
• Long, C.N.; Slater, D.W.; Tooman, T. Total Sky Imager (TSI) Model 880 Status and Testing Results. Atmospheric Radiation Measurement Program Tech Report ARM TR-006. 2001. http://www.arm.gov/publications/tech_reports/arm-tr-006.pdf (accessed Dec 2014).
   Google Scholar
• Pfister, G.; McKenzie, R.L.; Liley, J.B.; Thomas, A.; Forgan, B.W.; Long, C.N. Cloud Coverage Based on All-sky Imaging and its Impact on Surface Solar Irradiance. J. Appl. Meteorol. 2003, 42, 1421–1434.
   Google Scholar
• Huo, J.; Lu, D.R. Calibration and Validation of an All-sky Imager. Atmos. Oceanic Sci. Lett. 2009, 2, 220–223.
   Google Scholar
• Roman, R.; Anton, M.; Cazorla, A.; de Miguel, A.; Olmo, F.J.; Bilbao, J.; Alados-Arboledas, L. Calibration of an All-sky Camera for Obtaining Sky Radiance at Three Wavelengths. Atmos. Meas. Tech. 2012, 5, 2013–2024.
   Web of Science ®Google Scholar
• Urquhart, B.; Kurtz, B.; Dahlin, E.; Ghonima, M.; Shields, J.E.; Kleissl, J. Development of a Sky Imaging System for Short-term Solar Power Forecasting. Atmos. Meas. Tech. Discuss. 2014, 7, 4859–4907.
   Google Scholar
• Sabburg, J.; Wong, J. Evaluation of a Ground-based Sky Camera System for use in Surface Irradiance Measurement. J. Atmos. Oceanic Tech. 1999, 16, 752–759.
   Web of Science ®Google Scholar
• Sabburg, J.; Wong, J. Evaluation of a Sky/cloud Formula for Estimating UV-B Irradiance under Cloudy Skies. J. Geophys. Res. 2000, 105(D24), 29,685–29,692.
   Web of Science ®Google Scholar
• Long, C.N.; Sabburg, J.; Calbó, J.; Pages, D. Retrieving Cloud Characteristics from Ground-based Daytime Color All-sky Images. J. Atmos. Oceanic Tech. 2006, 23, 633–652.
   Web of Science ®Google Scholar
• Souza-Echer, M.P.; Pereira, E.B.; Bins, L.S.; Andrade, M.A.R. A Simple Method for the Assessment of the Cloud Cover State in High-latitude Regions by a Ground-based Digital Camera. J. Atmos. Oceanic Tech. 2006, 23, 437–447.
   Web of Science ®Google Scholar
• Sabburg, J.; Long, C.N. Improved Sky Imaging for Studies of Enhanced UV Irradiance. Atmos. Chem. Phys. 2004, 4, 2543–2552.
   Web of Science ®Google Scholar
• Kassianov, E.; Long, C.N.; Christy, J. Cloud-base-height Estimation from Paired Ground-based Hemispherical Observations. J. Appl. Meteorol. 2005, 44, 1221–1233.
   Google Scholar
• Nguyen, D.; Kleissl, J. Stereographic Methods for Cloud Base Height Determination using Two Sky Imagers. Solar Energy 2014, 107, 495–509.
   Web of Science ®Google Scholar
• Foyo-Moreno, I.; Alados, I.; Olmo, F.J.; Alados-Arboledas, L. The Influence of Cloudiness on UV Global Irradiance (295–385 nm). Agric. For. Meteorol. 2003, 120, 101–111.
   Web of Science ®Google Scholar
• National Aeronautics and Space Administration (NASA) MODIS Atmosphere. http://modis-atmos.gsfc.nasa.gov/MOD06_L2/ 2014 (accessed June 2014).
   Google Scholar
• Silva, A.A.; Echer, M. Ground Based Measurements of Local Cloud Cover. Meteorol. Atmos. Phys. 2013, 120, 201–212.
   Web of Science ®Google Scholar
• Cazorla, A.; Olmo, F.J.; Alados-Arboledas, L. Development of a Sky Imager for Cloud Cover Assessment. J. Opt. Soc. Am. A 2008, 25, 29–39.
   Google Scholar
• Heinle, A.; Macke, A.; Srivastav, A. Automatic Cloud Classification of Whole Sky Images. Atmos. Meas. Tech. Discuss. 2010, 3, 269–299.
   Google Scholar
• Igoe, D.; Parisi, A.V. Evaluation of a Smartphone Sensor to Broadband and Narrowband Ultraviolet A Radiation. Instrument. Sci. Tech. 2015, 43, 283–289.
   Web of Science ®Google Scholar
• Igoe, D.; Parisi, A.V.; Carter, B. A Method for Determining the Dark Response for Scientific Imaging with Smartphones. Instrument. Sci. Tech. 2014, 42, 586–592.
   Web of Science ®Google Scholar
• Igoe, D.; Parisi, A.V.; Carter, B. Smartphone-based Android App for Determining UVA Aerosol Optical Depth and Direct UVA Irradiances. Photochem. Photobiol. 2014, 90, 233–237.
   Web of Science ®Google Scholar
• Igoe, D.; Parisi, A.V.; Carter, B. Evaluating UVA Aerosol Optical Depth using a Smartphone Camera. Photochem. Photobiol. 2013, 89, 1244–1248.
   PubMed Web of Science ®Google Scholar
• Igoe, D.; Parisi, A.V.; Carter, B. Characterisation of the UVA Response of a Smartphone. Photochem. Photobiol. 2013, 9, 215–218.
   Web of Science ®Google Scholar
• Kogan, http://www.kogan.com/au/buy/triple-lens-kit-mobile-phones/2015 (accessed April 2015).
   Google Scholar
• MathWorks, Inc. Image Types. http://au.mathworks.com/help/matlab/creating_plots/image-types.html (accessed December 5, 2014)
   Google Scholar
• MultiSpec. A Freeware Multispectral Image Data Analysis System. https://engineering.purdue.edu/~biehl/MultiSpec/description.html (accessed January 2, 2014).
   Google Scholar
• Snik, F.; Rietjens, J.H.H.; Apituley, A.; Volten, H.; Mijling, B.; Di Noia, A.; Heikamp, S.; Heinsbroek, R.C.; Hasekamp, O.P.; Smit, J.M.; Vonk, J.; Stam, D.M.; van Harten, G.; de Boer, J.; Keller, C.U.; 3187 iSPEX Citizen Scientists. Mapping Atmospheric Aerosols with a Citizen Science Network of Smartphone Spectropolarimeters. Geophys. Res. Lett. 2014, 41.
   Web of Science ®Google Scholar