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CLARREO Pathfinder Publications

Author, (Year), Title, Publication.
Currey, C., Bartle, A., Lukashin, C., Roithmayr, C., & Gallagher, J. (2016). Multi-Instrument Inter-Calibration (MIIC) System. Remote Sensing, 8(11), 902. DOI: 10.3390/rs8110902.
Espejo, J., Drake, G., Heuerman, K., Kopp, G., Lieber, A., Smith, P., & Vermeer, B. (2011). A hyperspectral imager for high radiometric accuracy Earth climate studies. In S. S. Shen & P. E. Lewis (Eds.) (p. 81580B). Presented at the SPIE Optical Engineering + Applications, San Diego, California, USA. DOI: 10.1117/12.893803.
Feldman, D. R., Algieri, C. A., Collins, W. D., Roberts, Y. L., & Pilewskie, P. A. (2011). Simulation studies for the detection of changes in broadband albedo and shortwave nadir reflectance spectra under a climate change scenario. Journal of Geophysical Research: Atmospheres, 116(D24). doi:10.1029/2011JD016407.
Feldman, D. R., Algieri, C. A., Ong, J. R., & Collins, W. D. (2011). CLARREO shortwave observing system simulation experiments of the twenty-first century: Simulator design and implementation. Journal of Geophysical Research, 116(D10), D10107, DOI: 10.1029/2010JD015350.
Feldman, D. R., Coleman, D. M., & Collins, W. D. (2013). On the Usage of Spectral and Broadband Satellite Instrument Measurements to Differentiate Climate Models with Different Cloud Feedback Strengths. Journal of Climate, 26(17), 6561–6574. DOI:
Goldin, D., & Lukashin, C. (2016). Empirical Polarization Distribution Models for CLARREO-Imager Intercalibration. Journal of Atmospheric and Oceanic Technology, 33(3), 439–451. DOI:
Goldin, Daniel, Xiong, X., Shea, Y., & Lukashin, C. (2019). CLARREO Pathfinder/VIIRS Intercalibration: Quantifying the Polarization Effects on Reflectance and the Intercalibration Uncertainty. Remote Sensing, 11(16), 1914. DOI:
Goldin, D., R. Bhatt, & Y. Shea. (2023). Evaluation of systematic errors on polarization parameters from POLDER instrument data for use in CLARREO Pathfinder-VIIRS intercalibration. Journal of Applied Remote Sensing 17(3), 034513 (26 September 2023), DOI:
Jin, Z., & Sun, M. (2016). An Initial Study on Climate Change Fingerprinting Using the Reflected Solar Spectra. Journal of Climate, 29(8), 2781–2796. DOI:
Jin, Z., & Sun, M. (2017). Errors in spectral fingerprints and their effects on climate fingerprinting accuracy in the solar spectrum. Journal of Quantitative Spectroscopy and Radiative Transfer, 188, 165–175. DOI:
Kieffer, H. H. (1997). Photometric Stability of the Lunar Surface. Icarus, 130(2), 323–327, DOI:
Kieffer, H. H., & Stone, T. C. (2005). The Spectral Irradiance of the Moon. The Astronomical Journal, 129(6), 2887–2901, DOI: 10.1086/430185.
Kopp, G., Smith, P., Belting, C., Castleman, Z., Drake, G., Espejo, J., et al. (2017). Radiometric flight results from the HyperSpectral Imager for Climate Science (HySICS). Geoscientific Instrumentation, Methods and Data Systems, 6(1), 169–191, DOI:
Leroy, S. S., Anderson, J. G., & Ohring, G. (2008). Climate Signal Detection Times and Constraints on Climate Benchmark Accuracy Requirements. Journal of Climate, 21(4), 841–846, DOI:
Liu, X., Yang, Q., Li, H., Jin, Z., Wu, W., Kizer, S., et al. (2016). Development of a fast and accurate PCRTM radiative transfer model in the solar spectral region. Applied Optics, 55(29), 8236, DOI:
Lukashin, C., Goldin, D., Hutchinson, C., Roithmayr, C. M., Sun, W., Thome, K., et al. (2017). CLARREO Pathfinder: On-orbit data matching and sensor inter-calibration. In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 297–300). Fort Worth, TX: IEEE, DOI: 10.1109/IGARSS.2017.8126954.
Lukashin, Constantine, Jin, Z., Kopp, G., MacDonnell, D. G., & Thome, K. (2015). CLARREO Reflected Solar Spectrometer: Restrictions for Instrument Sensitivity to Polarization. IEEE Transactions on Geoscience and Remote Sensing, 53(12), 6703–6709.
Lukashin, Constantine, Wielicki, B. A., Young, D. F., Thome, K., Jin, Z., & Sun, W. (2013). Uncertainty Estimates for Imager Reference Inter-Calibration With CLARREO Reflected Solar Spectrometer. IEEE Transactions on Geoscience and Remote Sensing, 51(3), 1425–1436, DOI: DOI: 10.1109/TGRS.2012.2233480.
Roberts, Y. L., Pilewskie, P., & Kindel, B. C. (2011). Evaluating the observed variability in hyperspectral Earth-reflected solar radiance. Journal of Geophysical Research: Atmospheres, 116(D24), DOI:
Roberts, Y. L., Pilewskie, P., Feldman, D. R., Kindel, B. C., & Collins, W. D. (2014). Temporal variability of observed and simulated hyperspectral reflectance. Journal of Geophysical Research: Atmospheres, 119(17), 10,262-10,280.
Roberts, Y. L., Pilewskie, P., Kindel, B. C., Feldman, D. R., & Collins, W. D. (2013). Quantitative comparison of the variability in observed and simulated shortwave reflectance. Atmospheric Chemistry and Physics, 13(6), 3133–3147, DOI:
Roithmayr, C. M., Lukashin, C., Speth, P. W., Young, D. F., Wielicki, B. A., Thome, K. J., & Kopp, G. (2014). Opportunities to Intercalibrate Radiometric Sensors from International Space Station. Journal of Atmospheric and Oceanic Technology, 31(4), 890–902, DOI: DOI:
Roithmayr, Carlos M., Lukashin, C., Speth, P. W., Kopp, G., Thome, K., Wielicki, B. A., & Young, D. F. (2014). CLARREO Approach for Reference Intercalibration of Reflected Solar Sensors: On-Orbit Data Matching and Sampling. IEEE Transactions on Geoscience and Remote Sensing, 52(10), 6762–6774, DOI: 10.1109/TGRS.2014.2302397.
Shea, Y. L., Wielicki, B. A., Sun-Mack, S., & Minnis, P. (2017). Quantifying the Dependence of Satellite Cloud Retrievals on Instrument Uncertainty. Journal of Climate, 30(17), 6959–6976, DOI: DOI:
Stone, T. C., Kieffer, H., Lukashin, C., & Turpie, K. (2020). The Moon as a Climate-Quality Radiometric Calibration Reference. Remote Sensing, 12(11), 1837, DOI:
Sun, W., & Lukashin, C. (2013). Modeling polarized solar radiation from the ocean–atmosphere system for CLARREO inter-calibration applications. Atmospheric Chemistry and Physics, 13(20), 10303–10324, DOI:
Sun, W., Baize, R. R., Lukashin, C., & Hu, Y. (2015). Deriving polarization properties of desert-reflected solar spectra with PARASOL data. Atmospheric Chemistry and Physics, 15(13), 7725–7734, DOI:
Sun, Wenbo, Lukashin, C., Baize, R. R., & Goldin, D. (2015). Modeling polarized solar radiation for CLARREO inter-calibration applications: Validation with PARASOL data. Journal of Quantitative Spectroscopy and Radiative Transfer, 150, 121–133, DOI:
Weatherhead, E. C., Reinsel, G. C., Tiao, G. C., Meng, X.-L., Choi, D., Cheang, W.-K., et al. (1998). Factors affecting the detection of trends: Statistical considerations and applications to environmental data. Journal of Geophysical Research: Atmospheres, 103(D14), 17149–17161, DOI:
Wielicki, B. A., Doelling, D. R., Young, D. F., Loeb, N. G., Garber, D. P., & MacDonnell, D. G. (2008). Climate Quality Broadband and Narrowband Solar Reflected Radiance Calibration Between Sensors in Orbit. In IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium (p. I-257-I–260). Boston, MA, USA: IEEE, DOI: DOI: 10.1109/IGARSS.2008.4778842.
Wielicki, B. A., Young, D. F., Mlynczak, M. G., Thome, K. J., Leroy, S., Corliss, J., et al. (2013). Achieving Climate Change Absolute Accuracy in Orbit. Bulletin of the American Meteorological Society, 94(10), 1519–1539, DOI: DOI:
Wu, A., Xiong, X., Jin, Z., Lukashin, C., Wenny, B. N., & Butler, J. J. (2015). Sensitivity of Intercalibration Uncertainty of the CLARREO Reflected Solar Spectrometer Features. IEEE Transactions on Geoscience and Remote Sensing, 53(9), 4741–4751, DOI: DOI: 10.1109/TGRS.2015.2409030.
Yang, Q., Liu, X., & Wu, W. (2020). A Hyperspectral Bidirectional Reflectance Model for Land Surface. Sensors, 20(16), 4456, DOI: