1. Armstrong E.M., Wagner G., Vazquez-Cuervo J., Chin T.M. (2012). Comparisons of regional satellite sea surface temperature gradients derived from MODIS and AVHRR sensors. International Journal of Remote Sensing, 33(21), 10.1080/01431161.2012.692832, 6639-6651.
  2. Banzon. V.F. and R.W. Reynolds, 2013: Use of WindSat to Extend a Microwave Based Daily Optimum Interpolation Sea Surface Temperature Time Series. J. Climate, 26, 25572562.
  3. Banzon, V., T. M. Smith, T. M. Chin, C. Liu and W. Hankins (accepted): A long-term record of blended satellite and in situ sea surface temperature for climate monitoring, modeling and environmental studies, Earth Syst. Sci. Data.
  4. Becker, E.A., D.G. Foley, K.A. Forney, J. Barlow, J.V. Redfern, C.L. Gentemann, “Forecasting cetacean abundance patterns to enhance management decisions” (2012), Endangered Species Research, 16, 97-112, doi: 10.3354/esr00390.
  5. Bogdanoff, A. S., D. L. Westphal, J. R. Campbell, J. A. Cummings, E. J. Hyer, J. S. Reid, and C. A. Clayson, 2015: Sensitivity of infrared sea surface temperature retrievals to the vertical distribution of airborne dust aerosol. Remote Sens. Environ., 159, 1-13.
  6. Castro, S. L., G. A. Wick, M. Steele, 2016: Validation of satellite sea surface temperature analyses in the Beaufort Sea using UpTempO buoys, Remote Sens. Environ., 187, 458-475, http://dx.doi.org/10.1016/j.rse.2016.10.035.
    (http://www.sciencedirect.com/science/article/pii/S003442571630414X)
  7. Chin T.M., Vazquez J., Armstrong E., Mariano A. (2010). Algorithm Theoretical Basis Document: Multi-scale, motion-compensated analysis of sea surface temperature Version 1.1
  8. Dash, P., et al., “Group for High Resolution Sea Surface Temperature (GHRSST) analysis fields inter-comparisons-Part 2: Near real time web-based level 4 SST Quality Monitor (L4SQUAM)” (2012), Deep-Sea Res II., ISSN 0967-0645, 10.1016/j.dsr2.2012.04.002
  9. Demir, E., S. Sudek, M. Cuvelier, C.L. Gentemann, J. Zehr, A.Z. Worden, “Global distribution patterns of distinct clades of the phytosynthetic picoeukaryote Ostreococcus” (2011), ISME Journal, 5(7), 1095-1107, doi:  10.1038/ismej.2010.209.
  10. Ditri, A., Y. Liu, A. Kumar, K.A. Kilpatrick and P.J. Minnett (2017). Validation of Himawari-8 and MTSAT-2 sea-surface temperatures in the western tropical Pacific Ocean. Remote Sensing of Environment. In preparation.
  11. Gehlot, S., Minnett, P.J., & Stammer, D. (2015). Impact of Sahara dust on solar radiation at Cape Verde Islands derived from MODIS and surface measurements. Remote Sensing of Environment, 166, 154-162.
  12. Gentemann, C.L, M. Fewings, and M. Garcia-Reyes, Coastal sea-surface temperature anomalies during the 2014-2016 northeast Pacific marine heat wave: regional variability, timing, and relation to wind stress, Geophy. Res. Lett. (in press).
  13. Gentemann, C.L. and K.A. Hilburn, (2015) “In situ validation of sea surface temperatures from the GCOM-W1 AMSR2 RSS calibrated brightness temperature”, J. Geophy. Res., 120(5), 3567-3585.
  14. Gentemann, C.L., Fewings M., Garcia Reyes, M., “West Coast SST during the 2014-2015 Pacific SST warm anomaly”, in prep for GRL.
  15. Grim, J.A., Jason C. Knievel, Erik T. Crosman, 2013: Techniques for Using MODIS Data to Remotely Sense Lake Water Surface Temperatures. Journal of Atmospheric and Oceanic Technology 30:(10), 2434-2451. In press, 12/15/2013.
  16. Gentemann, C. L.,” Three way validation of MODIS and AMSR-E sea surface temperatures”, (2014), J. Geophys. Res. Oceans, 119, 2583–2598, doi:10.1002/2013JC0097.
  17. Kilpatrick, K.A., Podestá, G., Walsh, S., Williams, E., Halliwell, V., Szczodrak, M., Brown, O.B., Minnett, P.J., & Evans, R. (2015). A decade of sea surface temperature from MODIS. Remote Sensing of Environment, 165, 27-41.
  18. Koner, P.K, A.R. Harris, E.M. Maturi, (2015),  A Physical Deterministic Inverse Method for Operational Satellite Remote Sensing: An Application for Sea Surface Temperature Retrievals, IEEE Trans. Geosci. Rem. Sens., 53(11),5872-5888.
  19. Koner, P., Harris, A.R., and Maturi, E.M., (2016) Hybrid cloud and error masking to improve the quality of deterministic satellite sea surface temperature retrieval and data coverage, Rem. Sens. Environ., 174, 266-278.
  20. Koner, P., and Harris, A.R., (2016). Improved quality of MODIS sea surface temperature retrieval and data coverage using physical deterministic methods. Remote Sensing, 8, 454. 16pp.
  21. Jolliff, J.K., T.A. Smith, C.N. Barron, S. deRada, S.C. Anderson, R.W. Gould, and R.A. Arnone, 2012: The impact of coastal phytoplankton blooms on ocean-atmosphere thermal energy exchange: Evidence from a two-way coupled numerical modeling system. Geophysical Research Letters, 39, L24607, doi:10.1029/2012GL053634.
  22. Liu, Y., and P.J. Minnett. (2015) Evidence Linking Satellite-derived Sea-Surface Temperature Signals to Changes in the Atlantic Meridional Overturning Circulation. Remote Sensing of Environment. 169, 150–162.
  23. Liu, Y., & Minnett, P.J. (2016). Sampling errors in satellite-derived infrared sea-surface temperatures. Part I: Global and regional MODIS fields. Remote Sensing of Environment. 177, 48-64.
  24. Liu, Y., & Minnett, P.J. (2017). Sampling Errors in Satellite-Derived Infrared Sea-Surface Temperatures. Part II:  Sensitivity and Parameterization. Remote Sensing of Environment. In revision.
  25. Marquis, J.W., A.S. Bogdanoff, J.R. Campbell, J.A. Cummings, D.L. Westphal, N.J. Smith, and J. Zhang 2016: Estimating Satellite Sea Surface Temperature Retrieval Cold Biases in the Tropics due to Unscreened Optically-Thin Cirrus Clouds. In Press: Journal of Atmospheric and Oceanic Technology.
  26. Martin, M., et al., “Group for High Resolution SST (GHRSST) analysis fields inter- comparisons: Part 1. A GHRSST multi-product ensemble” (2012), Deep-Sea Res II. ISSN 0967-0645, 10.1016/j.dsr2.2012.04.013
  27. Marullo, S., P. J. Minnett, R. Santoleri, and M. Tonani (2016), The diurnal cycle of  sea-surface temperature and estimation of the surface heat budget of the Mediterranean Sea. Journal of Geophysical Research – Oceans, 121, doi: 10.1002/2016jc012192.
  28. Maturi, E., Harris, A., Mittaz, J., Sapper, J., Wick, G., Zhu., Z., Dash, P., Koner, P. A new sea surface temperature high resolution blended analysis.  BAMS: in Press
  29. May, J.C., C.D. Rowley, C.N. Barron, and N. Van de Voorde, NFLUX satellite-based radiative heat fluxes: Swath-level products. J. Atmos. and Oceanic Technology. In preparation.
  30. Minnett, P.J., K.A. Kilpatrick, R.H. Evans, G. Podesta, M. Szczodrak, M.A. Izaguirre, E.J. Williams, S. Walsh and R.M. Reynolds (2017) Suomi-VIIRS sea-surface temperature retrievals: algorithm evolution and an assessment of uncertainties. Remote Sensing of Environment. In preparation.
  31. Monier, A., R. M. Welsh, C. L. Gentemann, G. Weinstock, E. Sodergren, E. V. Armbrust, J. A. Eisen and A. Z. Worden, “Phytoplankton phosphate uptake and cross domain commonalities in viral-host gene exchanges” (2012), Environmental Microbiology, 14, 162-176, doi: 10.1111/j.1462-2920.2011.02576.x.
  32. Szczodrak, M., Minnett, P.J., & Evans, R.H. (2014). The effects of anomalous atmospheres on the accuracy of infrared sea-surface temperature retrievals: Dry air layer intrusions over the tropical ocean. Remote Sensing of Environment, 140, 450-465.
  33. Vazquez-Cuervo, J., Dewitte, B., Chin, T.M., Armstrong, E. M., Purca, S. and Alburqueque, E., (2013). “An analysis of SST gradients off the Peruvian Coast: The impact of going to higher resolution.” Remote Sensing of Environment 131: 76-84.
  34. Vazquez-Cuervo J., Dewitte, B., Menemenlis, D., Torres, H. S., Chin, T. M., Armstrong, E. M., (2016), Relationship between SST gradients and upwelling off Peru and Chile: Model/Data Analysis, under revision, Remote Sensing of the Environment.
  35. Walker, N. D., R. R. Leben, C. T. Pilley, M. Shannon, D. C. Herndon, I.-F. Pun, I.-I. Lin, and C. L. Gentemann (2014), Slow translation speed causes rapid collapse of northeast Pacific Hurricane Kenneth over cold core eddy, Geophys. Res. Lett., 41, 7595–7601, doi:10.1002/2014GL061584
  36. Wong, E., & Minnett, P.J. (2016). Retrieval of the ocean skin temperature profiles from measurements of infrared hyperspectral radiometers. Part I: Evaluation of the truncated singular value decomposition technique. IEEE Transactions on Geoscience and Remote Sensing. 54, 1879-1890.
  37. Wong, E., & Minnett, P.J. (2016). Retrieval of the ocean skin temperature profiles from measurements of infrared hyperspectral radiometers. Part II: Field data analysis. IEEE Transactions on Geoscience and Remote Sensing. 54, 1891-1904.
  38. Woods, S., P.J. Minnett, C.L. Gentemann, D. Bogucki. “Influence of the oceanic cool skin layer on global air–sea CO2 flux estimates”, (2014), Remote Sensing of Environment 145, 15-24.
  39. Zhu, X., P.J. Minnett, R. Berkelmans, J. Hendee & C. Manfrino (2014). Diurnal warming in shallow coastal seas: Observations from the Caribbean and Great Barrier Reef regions. Continental Shelf Research, 82, 85-98.
  40. Zhu, X., P.J. Minnett, H. Beggs and R. Berkelmans (2017). Thermal features and diurnal warming at the Great Barrier Reef derived from satellite data. Continental Shelf Research. In preparation.