NWB Sensors Infrared Cloud Imager Data Products from SGP

Pust, Nathan; Beard, Austin; Nugent, Paul; McCann, Cooper

doi:10.5439/3001561

Title: NWB Sensors Infrared Cloud Imager Data Products from SGP

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Abstract

NWB Sensors is a company which has developed a commercially available Infrared Cloud Imager (ICI). For more information, consult the company's webpage, https://www.nwbsensors.com/infrared-cloud-imager. To validate the radiometric accuracy of the ICI, NWB Sensors deployed it to the ARM SGP User Facility in 2023. The primary motivation of this deployment was to perform an intercomparison between the ICI and the Atmospheric Emitted Radiance Interferometer (AERI). The AERI spectral radiance data product can be integrated across the response function of the ICI and directly compared to the zenith radiance observed by the ICI. In addition, the ICI uses proprietary models of the downwelling clear-sky radiance in its cloud processing algorithms. They are based on surface meteorology and precipitable water vapor (PWV). These models were validated by comparing their predicted radiances to those derived from radiative transfer models of the ARM radiosondes. Finally, PWV observations derived from the ICI's onboard GNSS-based PWV retrieval system were compared against those from the microwave radiometer. This dataset contains the ICI radiance and cloud data products.

Authors:: Pust, Nathan; Beard, Austin; Nugent, Paul; McCann, Cooper

Publication Date:: Wed Nov 12 23:00:00 EST 2025

DOE Contract Number:: AC05-00OR22725

Research Org.:: Atmospheric Radiation Measurement User Facility

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Collaborations:: PNNL, BNL, ANL, ORNL

Subject:: Atmosphere; Full-sky cloud mask; Full-sky cloud probability; Full-sky downwelling infrared radiance; Full-sky downwelling residual infrared radiance; Infrared Cloud Imager; Stratosphere; Troposphere

OSTI Identifier:: 3001561

DOI:: https://doi.org/10.5439/3001561

Citation Formats


                    Pust, Nathan, Beard, Austin, Nugent, Paul, and McCann, Cooper. NWB Sensors Infrared Cloud Imager Data Products from SGP.  United States: N. p., 2025. 
        Web.  doi:10.5439/3001561.

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                    Pust, Nathan, Beard, Austin, Nugent, Paul, & McCann, Cooper. NWB Sensors Infrared Cloud Imager Data Products from SGP.  United States.  doi:https://doi.org/10.5439/3001561

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                    Pust, Nathan, Beard, Austin, Nugent, Paul, and McCann, Cooper. 2025.  
"NWB Sensors Infrared Cloud Imager Data Products from SGP".  United States.  doi:https://doi.org/10.5439/3001561.  https://www.osti.gov/servlets/purl/3001561. Pub date:Wed Nov 12 23:00:00 EST 2025

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@article{osti_3001561,

  title        = {NWB Sensors Infrared Cloud Imager Data Products from SGP},

  author       = {Pust, Nathan and Beard, Austin and Nugent, Paul and McCann, Cooper},

  abstractNote = {NWB Sensors is a company which has developed a commercially available Infrared Cloud Imager (ICI). For more information, consult the company's webpage, https://www.nwbsensors.com/infrared-cloud-imager. To validate the radiometric accuracy of the ICI, NWB Sensors deployed it to the ARM SGP User Facility in 2023. The primary motivation of this deployment was to perform an intercomparison between the ICI and the Atmospheric Emitted Radiance Interferometer (AERI). The AERI spectral radiance data product can be integrated across the response function of the ICI and directly compared to the zenith radiance observed by the ICI. In addition, the ICI uses proprietary models of the downwelling clear-sky radiance in its cloud processing algorithms. They are based on surface meteorology and precipitable water vapor (PWV). These models were validated by comparing their predicted radiances to those derived from radiative transfer models of the ARM radiosondes. Finally, PWV observations derived from the ICI's onboard GNSS-based PWV retrieval system were compared against those from the microwave radiometer. This dataset contains the ICI radiance and cloud data products.},

  doi          = {10.5439/3001561},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Nov 12 23:00:00 EST 2025},

  month        = {Wed Nov 12 23:00:00 EST 2025}

}

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DOI: https://doi.org/10.5439/3001561

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