Development of neural network retrievals of liquid cloud properties from multi-angle polarimetric observations

Segal-Rozenhaimer, M., et al. (2018), Development of neural network retrievals of liquid cloud properties from multi-angle polarimetric observations, J. Quant. Spectrosc. Radiat. Transfer, 220, 39-51, doi:10.1016/j.jqsrt.2018.08.030.

Evaluating high-resolution forecasts of atmospheric CO and CO2 from a global prediction system during KORUS-AQ field campaign

Tang, W., et al. (2018), Evaluating high-resolution forecasts of atmospheric CO and CO2 from a global prediction system during KORUS-AQ field campaign, Atmos. Chem. Phys., 18, 11007-11030, doi:10.5194/acp-18-11007-2018.

The Characterization of Deep Convective Clouds as an Invariant Calibration Target and as a Visible Calibration Technique

Doelling, D. R., et al. (2013), The Characterization of Deep Convective Clouds as an Invariant Calibration Target and as a Visible Calibration Technique, IEEE Trans. Geosci. Remote Sens., 51, 1147-1159, doi:10.1109/TGRS.2012.2225066.

Radiometric Calibration of the Landsat MSS Sensor Series

Helder, D. L., et al. (2012), Radiometric Calibration of the Landsat MSS Sensor Series, IEEE Trans. Geosci. Remote Sens., 50, 2380-2399, doi:10.1109/TGRS.2011.2171351.

Optimization of a Deep Convective Cloud Technique in Evaluating the Long-Term Radiometric Stability of MODIS Reflective Solar Bands

Development of Seasonal BRDF Models to Extend the Use of Deep Convective Clouds as Invariant Targets for Satellite SWIR-Band Calibration

Improvements to the Geostationary Visible Imager Ray-Matching Calibration Algorithm for CERES Edition 4

Doelling, D. R., et al. (2016), Improvements to the Geostationary Visible Imager Ray-Matching Calibration Algorithm for CERES Edition 4, J. Atmos. Oceanic Technol., 33, 2679-2698, doi:10.1175/JTECH-D-16-0113.1.

A Consistent AVHRR Visible Calibration Record Based on Multiple Methods Applicable for the NOAA Degrading Orbits. Part II: Validation

A Consistent AVHRR Visible Calibration Record Based on Multiple Methods Applicable for the NOAA Degrading Orbits. Part I: Methodology

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