Science Team Publications List 2017

Chin, T.M., Vazquez-Cuervo, J., & Armstrong, E.M. (2017). A multi-scale high-resolution analysis of global sea surface temperature. Remote Sensing of Environment, 200, 154-169, doi: https://doi.org/10.1016/j.rse.2017.07.029.

Crosman, E., Vazquez-Cuervo, J., & Chin, T.M. (2017). Evaluation of the Multi-Scale Ultra-High Resolution (MUR) Analysis of Lake Surface Temperature. Remote Sensing, 9, 723, doi: https://doi.org/10.3390/rs9070723.

Ignatov, A., Gladkova, I., Ding, Y., Shahriar, F., Kihai, Y., & Zhou, X. (2017). JPSS VIIRS level 3 uncollated sea surface temperature product at NOAA. Journal of Applied Remote Sensing, 11, 1-17, 17, doi: https://doi.org/10.1117/1.JRS.11.032405.

Kent, E.C., Kennedy, J.J., Smith, T.M., Hirahara, S., Huang, B., Kaplan, A., Parker, D.E., Atkinson, C.P., Berry, D.I., Carella, G., Fukuda, Y., Ishii, M., Jones, P.D., Lindgren, F., Merchant, C.J., Morak-Bozzo, S., Rayner, N.A., Venema, V., Yasui, S., & Zhang, H.-M. (2017). A Call for New Approaches to Quantifying Biases in Observations of Sea Surface Temperature. Bulletin of the American Meteorological Society, 98, 1601-1616, doi: https://doi.org/10.1175/bams-d-15-00251.1.

Liang, D., Sun, N., Ignatov, A., Liu, Q., Wang, W., Zhang, B., Weng, F., & Cao, C. (2017). Monitoring of VIIRS ocean clear-sky brightness temperatures against CRTM simulation in ICVS for TEB/M bands. In, SPIE Optical Engineering + Applications. San Diego, California, United States: SPIE, doi: https://doi.org/10.1117/12.2273443.

Liu, Y., Chin, T.M., & Minnett, P.J. (2017). Sampling errors in satellite-derived infrared sea-surface temperatures. Part II: Sensitivity and parameterization. Remote Sensing of Environment, 198, 297-309, doi: https://doi.org/10.1016/j.rse.2017.06.011.

Merchant, C.J., Paul, F., Popp, T., Ablain, M., Bontemps, S., Defourny, P., Hollmann, R., Lavergne, T., Laeng, A., de Leeuw, G., Mittaz, J., Poulsen, C., Povey, A.C., Reuter, M., Sathyendranath, S., Sandven, S., Sofieva, V.F., & Wagner, W. (2017). Uncertainty information in climate data records from Earth observation. Earth Syst. Sci. Data, 9, 511-527, doi: https://doi.org/10.5194/essd-9-511-2017.

Miyazawa, Y., Varlamov, S.M., Miyama, T., Guo, X., Hihara, T., Kiyomatsu, K., Kachi, M., Kurihara, Y., & Murakami, H. (2017). Assimilation of high-resolution sea surface temperature data into an operational nowcast/forecast system around Japan using a multi-scale three-dimensional variational scheme. Ocean Dynamics, 67, 713-728, https://doi.org/10.1007/s10236-017-1056-1.

Vazquez-Cuervo, J., Torres, H.S., Menemenlis, D., Chin, T., & Armstrong, E.M. (2017). Relationship between SST gradients and upwelling off Peru and Chile: model/satellite data analysis. International Journal of Remote Sensing, 38, 6599-6622, doi: https://doi.org/10.1080/01431161.2017.1362130.

Wang, S.-j., Cui, P., Zhang, P., Yang, Z.-d., Ran, M.-n., Hu, X.-q., Lu, F., & Liu, J. (2017). Progress of VIRR Sea Surface Temperature Product of FY-3 Satellite. Aerospace Shanghai, 34, doi: https://doi.org/10.19328/j.cnki.1006-1630.2017.04.010.

Wang, W., Cao, C., Ignatov, A., Li, Z., Wang, L., Zhang, B., Blonski, S., & Li, J. (2017). Operational correction and validation of the VIIRS TEB longwave infrared band calibration bias during blackbody temperature changes. In, SPIE Optical Engineering + Applications (pp. 535 — 543). San Diego, California, United States, doi: https://doi.org/10.1117/12.2272377.