wsi: Whole Sky Imager

The whole-sky imager (WSI) is an automated imager used for assessing and documenting cloud fields and cloud field dynamics. The WSI is a ground-based electronic imaging system that monitors the upper hemisphere. It is a passive, i.e., non-emissive, system that acquires images of the sky dome through three spectral filters (neutral, red, and blue).

From these sky images, we can assess the presence, distribution, shape, and radiance of clouds over the entire sky using automated cloud decision algorithms and related processing. The current WSI model (EO System 6) is capable of image acquisition under daylight, moonlight, and starlight conditions.

Measurements

Locations

  • Fixed
  • AMF1
  • AMF2
  • AMF3

Related Publications

2015

Dong X, A Schwantes, B Xi, and P Wu. 2015. "Investigation of the marine boundary layer cloud and CCN properties under coupled and decoupled conditions over the Azores." Journal of Geophysical Research: Atmospheres, 120(12), doi:10.1002/2014JD02, 10.1002/2014jd022939. ONLINE.
Research Highlight

2013

Zhang Y and SA Klein. 2013. "Factors Controlling the Vertical Extent of Fair-Weather Shallow Cumulus Clouds over Land: Investigation of Diurnal-Cycle Observations Collected at the ARM Southern Great Plains Site." Journal of the Atmospheric Sciences, 70(4), 10.1175/jas-d-12-0131.1.
Research Highlight

2009

Cazorla A, JE Shields, ME Karr, FJ Olmo, A Burden, and L Alados-Arboledas. 2009. "Technical Note: Determination of aerosol optical properties by a calibrated sky imager." Atmospheric Chemistry and Physics, 9(17), 10.5194/acp-9-6417-2009.

2008

Taylor PC and RG Ellingson. 2008. "A Study of the Probability of Clear Line of Sight through Single-Layer Cumulus Cloud Fields in the Tropical Western Pacific." Journal of the Atmospheric Sciences, 65(11), 10.1175/2008jas2620.1.

2007

Matthews S, JM Hacker, J Cole, J Hare, CN Long, and RM Reynolds. 2007. "Modification of the Atmospheric Boundary Layer by a Small Island: Observations from Nauru." Monthly Weather Review, 135(3), 10.1175/mwr3319.1.

Comstock JM, R D'Entremont, D DeSlover, GG Mace, ST Matrosov, SA McFarlane, P Minnis, D Mitchell, K Sassen, MD Shupe, DD Turner, and Z Wang. 2007. "An Intercomparison of Microphysical Retrieval Algorithms for Upper-Tropospheric Ice Clouds." Bulletin of the American Meteorological Society, 88(2), 10.1175/bams-88-2-191.

Turner DD, A Vogelmann, K Johnson, M Miller, RT Austin, JC Barnard, C Flynn, C Long, SA McFarlane, K Cady-Pereira, SA Clough, JC Chiu, MM Khaiyer, J Liljegren, B Lin, P Minnis, A Marshak, SY Matrosov, Q Min, W O'Hirok, Z Wang, and W Wiscombe. 2007. "Thin Liquid Water Clouds: Their Importance and Our Challenge." Bulletin of the American Meteorological Society, 88(2), 10.1175/bams-88-2-177.

Voyles JW. 2007. ACRF Instrumentation Status: New, Current, and Future September – October 2007. DOE ARM Climate Research Facility. DOE/SC-ARM/P-07-002.8.

2006

Thurairajah B and JA Shaw. 2006. "Cloud statistics measured with the infrared cloud imager (ICI)." IEEE Transactions on Geoscience and Remote Sensing, 43(9), 10.1109/tgrs.2005.853716.

Long CN, JM Sabburg, J Calbo, and D Pages. 2006. "Retrieving cloud characteristics from ground-based daytime color all-sky images." Journal of Atmospheric and Oceanic Technology, 23(5), 10.1175/jtech1875.1.
Research Highlight


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