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: https://doi.org/10.1175/JCLI-D-12-00378.1.
Goldin, D., & Lukashin, C. (2016). Empirical Polarization Distribution Models for CLARREO-Imager Intercalibration. Journal of Atmospheric and Oceanic Technology, 33(3), 439–451. DOI: https://doi.org/10.1175/JTECH-D-15-0165.1.
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: https://doi.org/10.3390/rs11161914.
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: https://doi.org/10.1117/1.JRS.17.034513
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: https://doi.org/10.1175/JCLI-D-15-0297.1.
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: https://doi.org/10.1016/j.jqsrt.2016.06.029.
Kieffer, H. H. (1997). Photometric Stability of the Lunar Surface. Icarus, 130(2), 323–327, DOI: https://doi.org/10.1006/icar.1997.5822.
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: https://doi.org/10.5194/gi-6-169-2017.
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: https://doi.org/10.1175/2007JCLI1946.1.
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: https://doi.org/10.1364/AO.55.008236.
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.
Riihimaki, L. D., Flynn, Connor J., Mccomiskey, Allison C., Lubin, Dan, Blanchard, Yann, Chiu, Christine, Feingold, G., Feldman, Daniel R., Gristey, Jake J., Herrera, Christian, Hodges, Gary, Kassianov, Evgueni I., LeBlanc, Samuel, Marshak, A., Michalsky, Joseph, Pilewskie, Peter, Schmidt, Sebastian, Scott, Ryan C., Shea, Yolonda, Thome, Kurtis, Wagener, Richard, and Wielicki, Bruce A.. The Shortwave Spectral Radiometer for Atmospheric Science: Capabilities and Applications from the ARM User Facility. United States: N. p., 2021. Web. doi:10.1175/BAMS-D-19-0227.1.
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: https://doi.org/10.1029/2011JD016448.
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: https://doi.org/10.1002/2014JD021566.
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: https://doi.org/10.1175/JTECH-D-13-00163.1.
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., Lukashin, C., Liu, X., Feldman, D. R., & Pilewskie, P. (2022). An entropy framework for evaluating reflectance observations for climate studies. Earth and Space Science, 9, e2019EA000795. https://doi.org/10.1029/2019EA000795.
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: https://doi.org/10.1175/JCLI-D-16-0429.1.
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: https://doi.org/10.3390/rs12111837.
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: https://doi.org/10.5194/acp-13-10303-2013.
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: https://doi.org/10.5194/acp-15-7725-2015.
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: https://doi.org/10.1016/j.jqsrt.2014.05.013.
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: https://doi.org/10.1029/98JD00995.
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: https://doi.org/10.1175/BAMS-D-12-00149.1.
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: https://doi.org/10.3390/s20164456.