Publications for CLARREO

Publication Citation
Chen, X., et al. (2014), Sensitivity of modeled far-IR radiation budgets in polar continents to treatments of snow surface and ice cloud radiative properties, Geophys. Res. Lett., 41, doi:10.1002/2014GL061216..
Chen, X., et al. (2016), Deriving clear-sky longwave spectral flux from spaceborne hyperspectral radiance measurements: a case study with AIRS observations, Atmos. Meas. Tech., 9, 6013-6023, doi:10.5194/amt-9-6013-2016.
Chung, E.S., et al. (2015), An Assessment of Direct Radiative Forcing, Radiative Adjustments, and Radiative Feedbacks in Coupled Ocean Atmosphere Models, J. Climate, 28, 4152-4170, doi:10.1175/JCLI-D-14-00436.1.
Chung, E., B. Soden, and A. Clement (2012), Diagnosing climate feedbacks in coupled ocean-atmosphere models, Surv. Geophys., 733-744, doi:10.1007/s10712-012-9187-x.
Chung, E., B. Soden, and V.O. John (2013), Intercalibrating microwave satellite observations for monitoring long-term variations in upper and mid-tropospheric water vapor, J. Atmos. Oceanic Technol., 30, 2303-2319, doi:10.1175/JTECH-D-13-00001.1.
Coddington, O.M., et al. (2012), The Shannon information content of hyperspectral shortwave cloud albedo measurements: Quantification and practical applications, JOURNAL OF GEOPHYSICAL RESEARCH, 117, doi:10.1029/2011JD016771.
Coddington, O.M., et al. (2013), Characterizing a new surface-based shortwave cloud retrieval based on transmitted radiance for soil and vegetated surface types, Atmosphere, 4, 48-71, doi:10.3390/atmos4010048.
Coddington, O.M., et al. (2018), Characterizing the information content of cloud thermodynamic phase retrievals from the notional PACE OCI shortwave reflectance measurements , J. Geophys. Res., 122, 8079-8100, doi:10.1002/2017JD026493.
Coleman, D.M., and D.R. Feldman (2013), Porting Existing Radiation Code for GPU Acceleration, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, PP, 1-6, doi:10.1109/JSTARS.2013.2247379.
Cooke, R., B. Wielicki, D. Young, and M. Mlynczak (2014), Value of Information for Climate Observing Systems, Environ Syst Decis, doi:10.1007/s10669-013-9451-8.
Cooke, R., et al. (2016), Using the social cost of carbon to value earth observing systems, Climate Policy, doi:10.1080/14693062.2015.1110109.
Divakarla, M., C. Barnet, X. Liu, D. Gu, M. Wilson, S. Kizer, X. Xiong, E. Maddy, R. Ferraro, R.O. Knuteson, D. Hagan, X. Ma, C. Tan, N. Nalli, A. Mollner, W. Yang, M. Feltz, A. Gambacorta, F. Iturbide-Sanchez, T. Reale, B. Sun, and M. Goldberg (2014), “The CrIMSS EDR Algorithm: Characterization, Optimization And Validation, J. Geophys. Res., 119, 4953-4977.
Doelling, D., et al. (2011), Spectral reflectance corrections for satellite intercalibrations using SCIAMACHY data., Geosci. Remote Sens. Lett, 8, doi:10.1109/LGRS.2011.2161751.
Doelling, D., B. Scarino, D. Morstad, A. Gopalan, R. Bhatt, C. Lukashin, and P. Minnis (2013), The Intercalibration of Geostationary Visible Imagers Using Operational Hyperspectral SCIAMACHY Radiances, IEEE Trans. Geosci. Remote Sens., 51, 1245-1254, doi:10.1109/TGRS.2012.2227760.
Doelling, D., et al. (2018), 1.17 - Vicarious Calibration and Validation, Comprehensive Remote Sensing, 475-518, doi:10.1016/B978-0-12-409548-9.10329-X.
Doelling, D., et al. (2018), Geostationary Visible Imager Calibration for the CERES SYN1deg Edition 4 Product , Remote Sensing, 10, doi:10.3390/rs10020288.
Doelling, D., et al. (2018), Improvements to the Geostationary Visible Imager Ray-Matching Calibration Algorithm for CERES Edition 4 , J. Atmos. Oceanic Technol., 33, 2679-2698, doi:6 10.1175/JTECH-D-16-0113.1.
Doelling, D., et al. (2014), MTSAT-1R Visible Imager Point Spread Function Correction, Part I: The Need for, Validation of, and Calibration With, IEEE Trans. Geosci. Remote Sens., 53, 1513-1526, doi:10.1109/TGRS.2014.2344678.
Doelling, D., et al. (2015), The Radiometric Stability and Scaling of Collection 6 Terra and Aqua-MODIS VIS, NIR, and SWIR Spectral Bands, IEEE Trans. Geosci. Remote Sens., 53, doi:10.1109/TGRS.2015.2400928.
Efremova, B., et al. (2014), CLARREO calibration uncertainty assessment tool: status and path forward, Proc. SPIE 9218, Earth Observing Systems XIX, doi:10.1117/12.2061962.

 

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