Factsheets
Presentations
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Sun-Climate Symposium 2020 CPF Overview Yolanda Shea |
Publications
2013-Present
Currey, C., Bartle, A., Lukashin, C., Roithmayr, C., & Gallagher, J. (2016). Multi-Instrument Inter-Calibration (MIIC) System. Remote Sensing, 8(11), 902. https://doi.org/10.3390/rs8110902
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. 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. 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. https://doi.org/10.3390/rs11161914
Jin, Z., & Sun, M. (2016). An Initial Study on Climate Change Fingerprinting Using the Reflected Solar Spectra. Journal of Climate, 29(8), 2781–2796. 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. https://doi.org/10.1016/j.jqsrt.2016.06.029
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. https://doi.org/10.5194/gi-6-169-2017
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. 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. https://doi.org/10.1109/IGARSS.2017.8126954
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. https://doi.org/10.1109/TGRS.2012.2233480
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. https://doi.org/10.1109/TGRS.2015.2446197
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. https://doi.org/10.5194/acp-13-3133-2013
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. 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. 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. https://doi.org/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. 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. 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. 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. 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. https://doi.org/10.1016/j.jqsrt.2014.05.013
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. 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. https://doi.org/10.1109/TGRS.2015.2409030
Yang, Q., Liu, X., & Wu, W. (2020). A Hyperspectral Bidirectional Reflectance Model for Land Surface. Sensors, 20(16), 4456. https://doi.org/10.3390/s20164456
Before 2013
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. https://doi.org/10.1117/12.893803
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. https://doi.org/10.1029/2010JD015350
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). https://doi.org/10.1029/2011JD016407
Kieffer, H. H. (1997). Photometric Stability of the Lunar Surface. Icarus, 130(2), 323–327. 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. https://doi.org/10.1086/430185
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. https://doi.org/10.1175/2007JCLI1946.1
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). https://doi.org/10.1029/2011JD016448
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. 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. https://doi.org/10.1109/IGARSS.2008.4778842