Publications for CLARREO

Publication Citation
Eon, R.S., et al. (2017), Development of a simulation environment to support intercalibration studies over the Algodones Dunes system , Journal of Applied Remote Sensing, 12, doi:10.1117/1.jrs.12.012008.
Espejo, J., et al. (2011), A hyperspectral imager for high radiometric accuracy Earth climate studies, Imaging Spectrometry Xvi, 8158, doi:10.1117/12.893803.
Fain, R., et al. (2018), CMOS-compatible Mid-Infrared Silicon Detector , Conference on Lasers and Electro-Optics, doi:10.1364/CLEO_SI.2017.STu1N.4.
Fan, X., et al. (2018), Using a MODIS Index to Quantify MODIS-AVHRRs Spectral Differences in the Visible Band , Remote Sensing, 10, doi:10.3390/rs10010061.
Feldman, D.R., D.M. Coleman, and W.D. Collins (2013), On the Usage of Spectral and Broadband Satellite Instrument Measurements to Differentiate Climate Models with Different Cloud Feedback Strengths, J. Climate, doi:10.1175/JCLI-D-12-00378.1.
Feldman, D.R., C.A. Algieri, W.D. Collins, Y.L. Roberts, and P.A. Pilewskie (2011), Simulation studies for the detection of changes in broadband albedo and shortwave nadir reflectance spectra under a climate change scenario, J. Geophys. Res., 116, D24103, doi:10.1029/2011JD016407.
Feldman, D.R., C.A. Algieri, J.R. Ong, and W.D. Collins (2011), CLARREO shortwave observing system simulation experiments of the twenty‐first century: Simulator design and implementation, J. Geophys. Res., 116, D10107, doi:10.1029/2010JD015350.
Feldman, D., et al. (2014), Far-Infrared Surface Emissivity in Climate, Proc. Natl. Acad. Sci., 111, 16297-16302, doi:10.1073/pnas.1413640111.
feldman, et al. (2015), Pan-spectral observing system simulation experiments of shortwave reflectance and long-wave radiance for climate model evaluation, Geosci. Model Dev, 8, 1943-1954, doi:10.5194/gmd-8-1943-2015.
Feltz, M.L. (2018), Assessment of COSMIC radio occultation and AIRS hyperspectral IR sounder temperature products in the stratosphere using observed radiances , J. Geophys. Res., 122, 8593-8616, doi:10.1002/2017JD026704.
Feltz, M., R. Knuteson, S. Ackerman, and H. Revercomb (2014), Application of GPS radio occultation to the assessment of temperature profile retrievals from microwave and infrared sounders, Atmos. Meas. Tech., 7, 3751-3762, doi:10.5194/amt-7-3751-2014.
Feltz, M., R. Knuteson, D. Tobin, S. Ackerman, and H. Revercomb (2014), A methodology for the validation of temperature profiles from hyperspectral infrared sounders using GPS radio occultation: Experience with AIRS and COSMIC, J. Geophys. Res., 119, 1680-1691, doi:10.1002/ 2013JD020853.
Feng, J., et al. (2018), Cloud-Assisted Retrieval of Lower-Stratospheric Water Vapor from Nadir-View Satellite Measurements , J. Atmos. Oceanic Technol., 35, 541-553, doi:10.1175/JTECH-D-17-0132.1.
Gastineau, G., et al. (2014), Satellite-Based Reconstruction of the Tropical Oceanic Clear-Sky Outgoing Longwave Radiation and Comparison with Climate Models, J. Climate, 27, 941-957, doi:10.1175/JCLI-D-13-00047.1.
Gerace, A.D., et al. (2015), The development of a DIRSIG simulation environment to support instrument trade studies for the SOLARIS sensor, and Ultraspectral Imagery Xxi, 9472, doi:10.1117/12.2177507.
Gero, P.J., J.K. Taylor, F.A. Best, H.E. Revercomb, R.O. Knuteson, D.C. Tobin, D.P. Adler, N.N. Ciganovich, S. Dutcher, and R.K. Garcia (2012), On-orbit Absolute Blackbody Emissivity Determination Using the Heated Halo Method, Metrologia, 49, doi:10.1088/0026-1394/49/2/S1.
Godoy, W.F., et al. (2012), Parallel Jacobian-­‐Free Newton Krylov Solution of the Discrete Ordinates Method With Flux Limiters for 3D Radiative Transfer, Journal of Computational Physics, 11, 4257-4278, doi:10.1016/j.jcp.2012.02.010.
Goldberg, M., et al. (2011), The Global Space-based Inter-Calibration System (GSICS), Bull. Am. Meteorol. Soc., 92, 467-475, doi:10.1175/2010bam2967.1.
Goldin, D., et al. (2015), Empirical Polarization Distribution Models for CLARREO-Imager Intercalibration, J. Atmos. Oceanic Technol., 33, doi:10.1175/JTECH-D-15-0165.1.
Gong, X., et al. (2018), ntercomparison Between VIIRS and CrIS by Taking Into Account the CrIS Subpixel Cloudiness and Viewing Geometry , J. Geophys. Res., 123, 5335-5345, doi:10.1029/2017JD027849.