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NRC Decadal Survey

National Research Council, Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond. National Academies Press, Washington, D.C., 426pp (2007).

CLARREO Papers (2012 to Current)

Angal, A., X. Xiong, A. Wu, G. Chander, T. Choi. 2013. “Multitemporal Cross-calibration of the Terra MODIS and Landsat 7 ETM+ Reflective Solar Bands.” IEEE TGRS. VOL. 51, NO. 4, doi: 10.1109/TGRS.2012.2235448.

Angal, A., X. Xiong, T. Choi, G. Chander, N. Mishra, D. L. Helder. 2013. “Impact of Terra MODIS Collection 6 on long-term trending comparisons with Landsat 7 ETM+ reflective solar bands”, Remote Sensing Letters Vol. 4, Issue 9, pp. 873-881.

Ao, C. O., J. H. Jiang, A. J. Mannucci, H. Su, O. Verkhoglyadova, C. Zhai, J. Cole, L. Donner, T. Iversen, C. Morcrette, L. Rotstayn, M. Watanabe, and S. Yukimoto (2015), Evaluation of CMIP5 upper troposphere and lower stratosphere geopotential height with GPS radio occultation observations, J. Geophys. Res. Atmos., 120, 1678–1689, doi:10.1002/2014JD022239.

Ao, C. O., A. J. Mannucci, and E. R. Kursinski (2012), Improving GPS radio occultation stratospheric refractivity retrievals for climate benchmarking, Geophys. Res. Lett., 39, L12701, doi:10.1029/2012GL051720.

Ao, C. O., and A. J. Hajj (2013), Monitoring the width of the tropical belt with GPS radio occultation measurements, Geophys. Res. Lett., 40, 6236-6241, doi:10.1002/2013GL058203.

Bani Shahabadi, M. and Y. Huang, (2014), Logarithmic radiative effect of water vapor and spectral kernels, J. Geophys. Res. – Atmos., 119 (10), 6000-6008, doi: 10.1002/2014JD021623.

Bani Shahabadi, M. and Y. Huang, (2014), Measuring stratospheric H2O with an airborne spectrometer, J. Atmos. and Oceanic Tech., 31, 1502-1515. doi: http://dx.doi.org/10.1175/JTECH-D-13-00191.1

Bantges, R., H. Brindley, X. Chen, X. Huang, J. Harries and J. Murray, 2016: On the detection of robust multidecadal changes in Earth's Outgoing Longwave Radiation spectrum. J. Clim., 29 (13), 4939-4947, doi:10.1175/JCLI-D-15-0713.1

Bellomo, K, Amy C. Clement, Joel R. Norris, and Brian J. Soden, 2014: Observational and Model Estimates of Cloud Amount Feedback over the Indian and Pacific Oceans. J. Climate, 27, 925–940. doi: http://dx.doi.org/10.1175/JCLI-D-13-00165.1

Best, F., Adler, D., Pettersen, C., Revercomb, H., Gero, P. J., Taylor, J., Knuteson, R., Perepezko, J., 2012: “On-orbit Absolute Radiance Standard (OARS) for the next generation of IR remote sensing instruments”, Proc. SPIE 8527, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications IV, 85270N (November 20, 2012); doi:10.1117/12.977559

Bhatt, R., D. R. Doelling, A. Wu, X. Xiong, B. R. Scarino, C. O. Haney, and A. Gopalan, “Initial Stability Assessment of S-NPP VIIRS Reflective Solar Band Calibration using Invariant Desert and Deep Convective Cloud Targets,” Remote Sens. 2014, 6, 2809-2826; doi:10.3390/rs6042809

Bhatt, R.; Doelling, D. R.; Morstad, D.; Scarino, B.R.; Gopalan, A. Desert-Based Absolute Calibration of Successive Geostationary Visible Sensors Using a Daily Exoatmospheric Radiance Model. IEEE Trans. Geosci. Remote Sens., 52, 3670-3682, doi:10.1109/TGRS.2013.2274594.

Brindley, H. and R. Bantges, 2016: The Spectral Signature of Recent Climate Change. Curr. Clim. Change Rep., 2: 112-126, doi:10.1007/s40641-016-0039-5

Brindley, H., R. Bantges, J. Russell, J. Murray, C. Dancel, C. Belotti and J. Harries, 2015: Spectral signatures of Earth’s climate variability over 5 years from IASI. J. Climate, 28, 1649-1660, doi:10.1175/JCLI-D-14-00431.1.

Chander, G., N. Mishra, D. L. Helder, D. B. Aaron, A. Angal, T. Choi, X. Xiong, and D. R. Doelling, "Applications of Spectral Band Adjustment Factors (SBAF) for Cross-Calibration", IEEE Transactions on Geoscience and Remote Sensing, vol. 51, issue 3, pp. 1267-1281, 2013.

Chander, G., A. Angal, T. Choi, and X. Xiong, "Radiometric Cross-Calibration of EO-1 ALI With L7 ETM+ and Terra MODIS Sensors Using Near-Simultaneous Desert Observations", IEEE JSTARS, vol. 6, issue 2, pp. 386-399, 2013.

Chander, G., T. Hewison, N. Fox, X. Wu, X. Xiong, W. Blackwell, “Overview of Inter-Calibration of Satellite Instruments”, IEEE Transactions on Geoscience and Remote Sensing, vol. 51, issue 3, pp. 1056-1080, 2013.

Chen, H., X. Xiong, A. Angal, X. Geng, and A. Wu, "Alternative method of on-orbit response-versus-scan-angle characterization for MODIS reflective solar bands", Journal of Applied Remote Sensing, vol. 10(2), 024004, 2016.

Chen, X. H., X. L. Huang, M. G. Flanner, 2014: Sensitivity of modeled far-IR radiation budgets in polar continents to treatments of snow surface and ice cloud radiative properties, Geophysical Research Letters, 41, doi:10.1002/2014GL061216.

Chen, X.H., X.L. Huang, N. G. Loeb, H. L. Wei, 2013: Comparisons of clear-sky outgoing far-IR flux inferred from satellite observations and computed from three most recent reanalysis products, Journal of Climate, 26 (2), 478-494, doi:10.1175/JCLI-D-12-00212.1.

Chen, X. H., X. L. Huang, X. Liu, 2013: Non-negligible effects of cloud vertical overlapping assumptions on longwave spectral fingerprinting studies, J. Geophys. Res. -Atmospheres, 118, 7309-7320, doi:10.1002/jgrd.50562.
(An AGU research spotlight article)

Chung, E. S., 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:http://dx.doi.org/10.1175/JTECH-D-13-00001.1.

Chung, E. S., and B. Soden (2014), An Assessment of Direct Radiative Forcing, Radiative Adjustments, and Radiative Feedbacks in Coupled Ocean Atmosphere Models, J. Climate 28, 4152-4170.

Chung, E.-S., B. J. Soden, A.C. Clement, 2012: Diagnosing climate feedbacks in coupled ocean-atmosphere models, Surveys in Geophysics, doi: 10.1007/s10712-012-9187-x.

Chung, E.-S., B.J. Soden, and V.O. Johns, 2012: Monitoring long-term variations in upper and mid-tropospheric water vapor from satellite observations, submitted, J. Climate.

Coddington, O. M., P. Pilewskie, and T. Vukicevic, The Shannon information content of hyperspectral shortwave cloud albedo measurements: Quantification and practical applications, J. Geophys. Res., doi:10.1029/2011JD016771 (2012).

Coddington, O., P. Pilewskie, K. S. Schmidt, P. J. McBride, and T. Vukicevic, Characterizing a new surface-based shortwave cloud retrieval based on transmitted radiance for soil and vegetated surface types, Atmosphere, 4(1), p.48-71 (2013)

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, 99, 1-6, doi: 10.1109/JSTARS.2013.2247379.

Cooke, R., Alexander Golub, Bruce A. Wielicki, David F. Young, Martin G. Mlynczak & Rosemary R. Baize (2016): Using the social cost of carbon to value earth observing systems, Climate Policy, DOI: 10.1080/14693062.2015.1110109

Cooke, R., A. Golub, B. A. Wielicki, M. G. Mlynczak, D. F. Young, and R. R. Baize, 2016: Real Option Value for New Measurements of Cloud Radiative Forcing. Resources for the Future Discussion Paper.

Cooke, R., et al. (2014), Value of Information for Climate Observing Systems, Environ Syst Decis, doi:10.1007/s10669-013-9451-8.

Divakarla, M., C. Barnet, X Liu, D. Gu, M. Wilson, S. Kizer, X. Xiong, E. Maddy, R. Ferraro, R. 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, “The CrIMSS EDR Algorithm: Characterization, Optimization And Validation, JGR, 119, 4953–4977, 2014

Doelling, D. R., Khlopenkov, K., D. R. Doelling, A. Okuyama,C. O. Haney, A. Gopalan, B. R. Scarino, M. Nordeen, R. Bhatt, L. Avey, 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, 10.1109/TGRS.2014.2344678 (needs to be added to CLARREO page)

Doelling, D.R., B. R. Scarino, D. Morstad, A. Gopalan, R. Bhatt, C. Lukashin, P. Minnis, 2013: The calibration of geostationary visible imagers using operational hyper-spectral SCIAMACHY radiances, IEEE Trans. Geosci. Remote Sens., Vol. 9, No1, 119-123, 10.1109/TGRS.2012.2227760 (needs to be added to CLARREO page)

Doelling, D. R., A. Wu, X. Xiong, B. R. Scarino, R. Bhatt, C. O. Haney, D. Morstad, A. Gopalan,(2015) The Radiometric Stability and Scaling of Collection 6 Terra and Aqua-MODIS VIS, NIR, and SWIR Spectral Bands, IEEE Trans. Geosci. Remote Sens., 35, no. 8, doi: 10.1109/TGRS.2015.2400928

Doelling, D. R., B. A. Wielicki, D. F. Keyes, L. T. Nguyen, D. G. MacDonnell, and D. F. Young, CLARREO predicted satellite sampling errors from nadir-only observed radiances, in preparation, J. Appl. Met. and Clim.

Efremova, B., Wu, A., Xiong, X., and Butler, J. “CLARREO calibration uncertainty assessment tool: status and path forward, Proc. SPIE 9218, Earth Observing Systems XIX, 92181U (2014), doi:10.1117/12.2061962

Feldman, D., 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.

Feldman, D.R., W.D. Collins, R. Pincus, X.L. Huang, X.H. Chen, (2014) Far-Infrared Surface Emissivity and Climate, Proceedings of the National Academy of Sciences of the United States of America, 111(46), 16297-16302, doi:10.1073/pnas.1413640111.

Feldman, D.R., W.D. Collins (2014) Pan-Spectral Observing System Simulation Experiments of Shortwave Reflectance and Longwave Radiance for Climate Model Evaluation, Geoscientific Model Development Discussions, 7(3), 3647-3670, doi:10.5194/gmdd-7-3647-2014.

Feldman, D.R., W.D. Collins, R. Pincus, X.L. Huang, X.H. Chen, (2014) Far-Infrared Surface Emissivity and Climate, Proceedings of the National Academy of Sciences, ill, no. 46, 16297-16302, doi: 10.1073/pnas.1413640111.

Feldman, D.R., W.D. Collins, et al, (2013), On the Usage of Spectral and Broadband Satellite Instrument Measurements to Differentiate Climate Models with Different Low-Cloud Feedback Strengths. Journal of Climate, 26(17), 6561-6574, 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, Journal of Geophysical Research-Atmospheres, 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, Journal of Geophysical Research-Atmospheres, 116, D10107, doi:10.1029/2010JD015350.

Feltz, M., B. 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, 5075-5094, doi:10.5194/amt-7-3751-2014.

Feltz, M. L., R. O. Knuteson, H. E. Revercomb, and D. C. Tobin (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. Atmos., 119, doi:10.1002/ 2013JD020853.

Feltz, M., Knuteson, R., Ackerman, S., and Revercomb, H., 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.

CLARREO Papers (2007 to 2011)

Abedin, M. N. et al., Infrared detectors overview in the short-wave infrared to far-infrared for the CLARREO mission, SPIE Proceedings Volume 7808, 2010.

Ao, C. O., Mannucci, A. J., and E. R. Kursinski. “Improving GPS Radio Occultation Stratospheric Refractivity Retrievals for Climate Benchmarking.” Accepted for publication in Geophys Res. Lett., May 2012.

Cageao, R. P. et al., Far-IR measurements at Cerro Toco, Chile: FIRST, REFIR, and AERI. SPIE Proceedings Volume 7808, 2010.

Doelling, D. R., C. Lukashin, P. Minnis, B. Scarino, and D. Morstad, 2011: Spectral reflectance corrections for satellite intercalibrations using SCIAMACHY data. Geosci. Remote Sens. Lett., 8, doi:10.1109/LGRS.2011.2161751 (needs to be added to CLARREO page)

CLARREO-related Papers (2006 and prior)

Anderson, J., J. Dykema, R. Goody, H. Hu, and D. Kirk-Davidoff. “Absolute, spectrally-resolved, thermal radiance: A benchmark for climate monitoring from space.” J. Quant. Spectrosc. Rad. Trans., 85, 367–383 (2004).

Ao, C., T. Meehan, G. Hajj, A. Mannucci, and G. Beyerle. “Lower troposphere refractivity bias in GPS occultation retrievals.”
J. Geophys. Res., 108, DOI:10.1029/2002JD003216 (2003).

Bell, T. “Theory of optimal weighting to detect climate change.” J. Atmos. Sci., 43, 1694–1710 (1986).

Berk, A., L. Bernstein, G. Anderson, P. Acharya, D. Robertson, J. Chetwynd, and S. Adler-Golden. “MODTRAN cloud and multiple scattering upgrades with application to AVIRIS—editions of 1991 and 1992.” Rem. Sens. Env., 65, 367–375 (1992).

Best, F., H. Revercomb, D. LaPorte, R. Knuteson, W. and Smith. “Accurately calibrated airborne and ground-based Fourier Transform Spectrometers II: HIS and AERI calibration techniques, traceability, and testing.” Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center. Presented at Council for Optical Radiation Measurements (CORM), 1997 Annual Meeting, National Institute of Standards and Technology (NIST), Gaithersburg, MD, 20 April 1997. UW SSEC Publication No.97.04.B1, (1997).

Beyerle, G.S., J. Wickert, T. Schmidt, and C. Reigber. “Atmospheric sounding by Global Navigation Satellite System radio occultation: An analysis of the negative refractivity bias using CHAMP observations.” J. Geophys. Res., 109, DOI:10.1029/2003JD003922 (2004).

Bingham, G. E., Latvakoski, H. M., Wellard, S. J., Mlynczak, M. G., Johnson, D. G., Traub, W. A. and K. W. Jucks. Far-infrared Spectroscopy of the Troposphere (FIRST): sensor calibration performance. Proc. SPIE 5655, 190 (2005), DOI:10.1117/12.578770

Bingham, G.E., Latvakoski, H., Wellard, S., Garlick, D., Mlynczak, M., Johnson, D., Traub, W., and K. Jucks. Far-infrared spectroscopy of the troposphere (FIRST): sensor calibration performance. International Symposium on Remote Sensing of Environment. St. Petersburg, RU. June 20 – 24, 2005.

Bingham, G. E., Latvakoski, H. M., Wellard, S. J., Mlynczak, M. G., Johnson, D. G., Traub, W. A., and K. W. Jucks. Far-infrared spectroscopy of the troposphere (FIRST): sensor calibration performance. SPIE Fourth International Asia-Pacific Environmental Remote Sensing Symposium. Multispectral and Hyperspectral Remote Sensing Instruments and Applications II. Paper 5655 25. Honolulu, HI, USA, November 8-11, 2004.

Bingham, G. E., Latvakoski, H. M., Wellard, S. J., Mlynczak, M. G., Johnson, D. G., Traub, W., A., and K. W. Jucks. Far-infrared spectroscopy of the troposphere (FIRST): sensor development and performance drivers. Proc. SPIE 5157, 143 (2003), DOI:10.1117/12.509674

Bingham, G. E., Wellard, S. J., Mlynczak, M. G., Johnson, D. G. Traub, W. A., and K. W. Jucks. Far infrared spectroscopy of the troposphere (FIRST): sensor concept. Proc. SPIE 4897, 127 (2003), DOI:10.1117/12.467705

Bingham, G.E. and H.M. Latvakoski. Far Infrared Technology Development for Space Surveillance. Space-Based EO/IR Surveillance Technology Conference. Phillips Space Conference Center, Kirtland AFB. Albuquerque, NM, May 13-15, 2003.

Bingham, G.E., Wellard, S.J., Mlynczak, M.G., Johnson, D.G., Traub, W.A., and K. W. Jucks. Far InfraRed Spectroscopy of the Troposphere (FIRST): Sensor Concept SPIE’s Third International Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space. Dragon Hotel, Hangzhou, China October 23-27, 2002.

Bony, S., R. Colman, V. Kattsov, R. Allan, C. Bretherton, J. Dufresne, A. Hall, S. Hallegatte, M. Holland, W. Ingram, D. Randall, B. Soden, G. Tselioudis, and M. Webb. “How well do we understand and evaluate climate change feedback processes?” J. Climate, 19, 3445–3482 (2004).

Broberg, S. “Evaluation of AIRS, MODIS, and HIRS 11 micron brightness temperature difference changes from 2002 through 2006.” SPIE 6296-22 (August 2006).

Clough, S. A., R.D. Worsham, W.L. Smith, H.E. Revercomb, R.O. Knuteson, G.P. Anderson, M.L. Hoke and F.X. Kneizys, “Validation of FASCODE Calculations with HIS Spectral Radiance Measurements.” Proceedings of IRS ‘88, A. Deepak Publishing (1989).

Collins, W., V. Ramaswamy, M. Schwarzkopf, Y. Sun, R. Portmann, Q. Fu, S. Casanova, J. Dufresne, D. Fillmore, P. Forster, V. Galin, L. Gohar, W. Ingram, D. Kratz, M. Lefebvre, J. Li, P. Marquet, V. Oinas, Y. Tsushima, T. Uchiyama, and W. Zhong, “Radiative forcing by well-mixed greenhouse gases: Estimates from climate models in the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4).” J. Geophys. Res., 111, D14317, DOI:10.1029/2005JD006713 (2006).

Colman, R. “A comparison of climate feedbacks in general circulation models.” Climate Dyn., 865–873 (2003).

Collins, W. D. and M. G. Mlynczak. Prospects for measurement of far-infrared tropospheric spectra: implications for climate modeling. Paper GC32A-0210, Fall AGU Meeting 2001, San Franscisco, CA.

Dykema, J.A., and J.G. Anderson. “A methodology for obtaining on-orbit SI-traceable spectral radiance measurements in the thermal infrared.” Metrologia, 43, 287–293 (2006).

Ellingson, R. G., Wiscombe, W.J., DeLuisi, J., Kunde, V., Melfi, H., Murcray, D. and W. Smith. “The SPECTral Radiation Experiment (SPECTRE): Clear-sky Observations and their use in ICRCCM and ITRA, IRS’92: Current Problems in Atmospheric Radiation.” S. Keevallik and O. Karner, Eds., A. Deepak Publishing, Hampton, VA, 451–453 (1993).