Refereed Publications and Proceedings

Under Review or In Press

Sienkiewicz, N., Martins, J. V., McBride, B. A., Xu, X., Puthukuddy, A., Smith, R., and Borda, R. F.: HARP2 Pre-Launch Calibration Overview: The Effects of a Wide Field-of-View, Atmospheric Measurement Techniques, https://doi.org/10.5194/egusphere-2024-2024, 2024. (in-review)

Selected Publications

2024

McBride, B. A., Martins, J. V., Cieslak, J. D., Fernandez-Borda, R., Puthukuddy, A., Xu, X., Sienkiewicz, N., Cairns, B., and Barbosa, H. M. J.: Pre-launch calibration and validation of the Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) instrument, Atmospheric Measurement Techniques, https://amt.copernicus.org/articles/17/5709/2024/, 2024.

Sienkiewicz, N., Martins, J. V., Xu, X., McBride, B. A., and Remer, L. A.: Developing small satellite ground support software for orbit tracking and target acquisition of the HARP cubesat, Frontiers in Remote Sensing, Sec. Satellite Missions, https://www.frontiersin.org/journals/remote-sensing/articles/10.3389/frsen.2024.1474600/full, 2024.

Xu, X., Chen, X., Wang, J., Remer, L.: Potential of PACE Satellite Observations in the Oxygen Bands for Determining Aerosol Layer Height over Ocean, Journal of Remote Sensing, https://doi.org/10.34133/remotesensing.0167, 2024.

Remer, L. A., Levy, R. C., and Martins, J. V.: Opinion: Aerosol remote sensing over the next 20 years, Atmos. Chem. Phys., 24, 2113–2127,  https://doi.org/10.5194/acp-24-2113-2024, 2024.

2023

Jiang, J., Tao, M., Xu, X., Jiang, Z., Man, W., Wang, J., et al.: A generalized aerosol algorithm for multi-spectral satellite measurement with physics-informed deep learning method, Geophysical Research Letters, 50, e2023GL106806, 2023. doi:10.1029/2023GL106806.

Gao, M., Franz, B. A., Zhai, P.-W., Knobelspiesse, K., Sayer, A. M., Xu, X., Martins, J. V., Cairns, B., Castellanos, P., Fu, G., Hannadige, N., Hasekamp, O., Hu, Y., Ibrahim, A., Patt, F., Puthukkudy, A., and Werdell, P. J: Simultaneous retrieval of aerosol and ocean properties from PACE HARP2 with uncertainty assessment using cascading neural network radiative transfer models, Atmos. Meas. Tech., 16, 5863-5881, 2023. doi: 10.5194/amt-16-5863-2023.

Lu Z., J. Wang, X. Chen, M. Zhou, and X. Xu, Characterization of the optical properties and vertical
distribution of the asian dust, IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium, 3909-3912, 2023. doi: 10.1109/IGARSS52108.2023.10282546.

Tao M., J. Chen, X. Xu, W. Man, L. Xu, L. Wang, Y. Wang, J. Wang, M. Fan, M. I. Shahzad, and L. Chen,
A robust and flexible satellite aerosol retrieval algorithm for multi-angle polarimetric measurements with physics-informed deep learning method, Remote Sensing of Environment, 297, 113763, 2023. doi: 10.1016/j.rse.2023.113763.

Gao, M., Knobelspiesse, K., Franz, B. A., Zhai, P.-W., Cairns, B., Xu, X., and Martins, J. V., The impact and estimation of uncertainty correlation for multi-angle polarimetric remote sensing of aerosols and ocean color, Atmos. Meas. Tech., 16, 2067-2087, 2023. doi:10.5194/amt-16-2067-2023.

Dong W., M. Tao, X. Xu, J. Wang, Y. Wang, L. Wang, Y. Song, M. Fan, and L. Chen, Satellite aerosol retrieval from multiangle polarimetric measurements: information content and uncertainty analysis, IEEE Transactions on Geoscience and Remote Sensing, 61, 4101813, 2023. doi:10.1109/TGRS.2023.3264554.

Lu, Z., Wang, J., Chen, X., Zeng, J., Wang, Y., Xu, X., et al., First mapping of monthly and
diurnal climatology of Saharan dust layer height over the Atlantic Ocean from EPIC/DSCOVR in deep space,
Geophysical Research Letters, 50, e2022GL102552, 2023. doi:10.1029/2022GL102552.

2019 – 2022

Li, C., X. Xu, X. Liu, J. Wang, K. Sun, J. van Geffen, Q. Zhu, J. Ma, J. Jin, K. Qin, Q. He, P. Xie, B. Ren, and R. C. Cohen, Direct retrieval of NO2 vertical column from UV- Vis (390-495 nm) spectral radiances using neural network, Journal of Remote Sensing, 9817134, 2022. doi:10.34133/2022/9817134.

Gao, M., Knobelspiesse, K., Franz, B. A., Zhai, P.-W., Sayer, A. M., Ibrahim, A., Cairns, B., Hasekamp, O., Hu, Y., Martins, V., Werdell, P. J., and Xu, X., Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean, Atmos. Meas. Tech., 15, 4859-4879, 2022. doi:10.5194/amt-15-4859-2022.

*Puthukkudy, A., Martins, J. V., McBride, B. A., Xu, X., Sienkiewicz, N., Fernandez-Borda, R., Dubovik, O., and Remer, L. A.: “HARP: A 3U CubeSat for Aerosol and Cloud Observations”, Proceedings fo the 73rd International Astronautical Congress. IAC-22.B4.4.7, 2021. [abstract link]

Knobelspiesse, K., Barbosa, H. M. J., Bradley, C., Bruegge, C., Cairns, B., Chen, G., Chowdhary, J., Cook, A., Di Noia, A., van Diedenhoven, B., Diner, D. J., Ferrare, R., Fu, G., Gao, M., Garay, M., Hair, J., Harper, D., van Harten, G., Hasekamp, O., Helmlinger, M., Hostetler, C., Kalashnikova, O., Kupchock, A., Longo De Freitas, K., Maring, H., Martins, J. V., McBride, B., McGill, M., Norlin, K., Puthukkudy, A., Rheingans, B., Rietjens, J., Seidel, F. C., da Silva, A., Smit, M., Stamnes, S., Tan, Q., Val, S., Wasilewski, A., Xu, F., Xu, X., and Yorks, J.: The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) airborne field campaign, Earth Syst. Sci. Data, 12, 2183–2208, https://doi.org/10.5194/essd-12-2183-2020, 2020.

Puthukkudy, A., Martins, J. V., Remer, L. A., Xu, X., Dubovik, O., Litvinov, P., McBride, B., Burton, S., and Barbosa, H. M. J.: Retrieval of aerosol properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) observations during ACEPOL 2017, Atmos. Meas. Tech., 13, 5207–5236, https://doi.org/10.5194/amt-13-5207-2020, 2020.

McBride, B. A., Martins, J. V., Barbosa, H. M. J., Birmingham, W., and Remer, L. A.: Spatial distribution of cloud droplet size properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) measurements, Atmos. Meas. Tech., 13, 1777–1796, https://doi.org/10.5194/amt-13-1777-2020, 2020.

*McBride, B. A., Martins, J. V., Fernandez-Borda, R., Barbosa, H. M. J., Puthukuddy, A., Xu, X., and Remer, L. A.: “The Hyper-Angular Rainbow Polarimeter-2 (HARP-2): A wide FOV polarimetric imager for high resolution spatial and angular characterization of cloud and aerosol microphysics.” Proceedings of the 70th International Astronautical Congress. IAC-19-B1.2.71-12, 2019. [abstract link]

Prior to 2019

Martins, J. V., Fernandez-Borda, R., McBride, B. A., Remer, L. A., and Barbosa, H. M. J.: The Harp Hype Ran Gular Imaging Polarimeter and the Need for Small Satellite Payloads with High Science Payoff for Earth Science Remote Sensing, IGARSS 2018 – 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, pp. 6304-6307,  https://doi.org/10.1109/IGARSS.2018.8518823, 2018.

Espinosa, W. R., Martins, J. V., Remer, L. A., Puthukkudy, A., Orozco, D., and Dolgos, G.: In situ measurements of angular-dependent light scattering by aerosols over the contiguous United States, Atmos. Chem. Phys., 18, 3737-3754, https://doi.org/10.5194/acp-18-3737-2018, 2018.

Espinosa, W. R., Remer, L. A., Dubovik, O., Ziemba, L., Beyersdorf, A., Orozco, D., Schuster, G., Lapyonok, T., Fuertes, D., and Martins, J. V.: Retrievals of aerosol optical and microphysical properties from Imaging Polar Nephelometer scattering measurements, Atmos. Meas. Tech., 10, 811-824, https://doi.org/10.5194/amt-10-811-2017, 2017.

Dolgos, G and Martins, J. V.: Polarized Imaging Nephelometer for in situ airborne measurements of aerosol light scattering, Opt. Express, 22, 21972-21990, https://doi.org/10.1364/OE.22.021972, 2014.

*Contact first author for manuscript.