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Factsheets

Sunlight reflected off the Earth CLARREO Pathfinder Factsheet
CLARREO Pathfinder ISS Inter-Calibration with Sun and Moon CLARREO Pathfinder Overview



Presentations

CLARREO Pathfinder ISS Inter-Calibration with Sun and Moon 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