John Yorks
Organization:
NASA Goddard Space Flight Center
First Author Publications:
- Yorks, J., et al. (2016), An overview of the CATS level 1 processing algorithms and data products, Geophys. Res. Lett., 43, 4632-4639, doi:10.1002/2016GL068006.
Co-Authored Publications:
- Midzak, N., et al. (2022), Constrained Retrievals of Aerosol Optical Properties Using Combined Lidar and Imager Measurements During the FIREX-AQ Campaign, Front. Remote Sens., 3, 818605, doi:10.3389/frsen.2022.818605.
- Chen, X., et al. (2021), First retrieval of absorbing aerosol height over dark target using TROPOMI oxygen B band: Algorithm development and application for surface particulate matter estimates, Remote Sensing of Environment, 265, 112674, doi:10.1016/j.rse.2021.112674.
- Leifer, I., et al. (2020), Air pollution inputs to the Mojave Desert by fusing surface mobile and airborne in situ and airborne and satellite remote sensing: A case study of interbasin transport with numerical model validation, Atmos. Environ., 224, 117184, doi:10.1016/j.atmosenv.2019.117184.
- McGill, M., and J. Yorks (2020), Observation and quantification of westerly outflow from southern Africa using spaceborne lidar, S Afr J Sci., 116, 6398-6404, doi:10.17159/sajs.2020/6398.
- Midzak, N., et al. (2020), A Classification of Ice Crystal Habits Using Combined Lidar and Scanning Polarimeter Observations during the SEAC4RS Campaign, J. Atmos. Oceanic Technol., 37, 2185-2196, doi:10.1175/JTECH-D-20-0037.1.
- Christian, K., et al. (2019), Radiative Forcing and Stratospheric Warming of Pyrocumulonimbus Smoke Aerosols: First Modeling Results With Multisensor (EPIC, CALIPSO, and CATS) Views from Space, Geophys. Res. Lett., 46, 10,061-10,071, doi:10.1029/2019GL082360.
- Lee, L., et al. (2019), Investigation of CATS aerosol products and application toward global diurnal variation of aerosols, Atmos. Chem. Phys., 19, 12687-12707, doi:10.5194/acp-19-12687-2019.
- Lee, L., et al. (2019), Investigation of CATS aerosol products and application toward global diurnal variation of aerosols, Atmos. Chem. Phys., 19, 12687-12707, doi:10.5194/acp-19-12687-2019.
- Pauly, R., et al. (2019), Cloud-Aerosol Transport System (CATS) 1064 nm calibration and validation, Atmos. Meas. Tech., 12, 6241-6258, doi:10.5194/amt-12-6241-2019.
- Proestakis, E., et al. (2019), EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product, Atmos. Chem. Phys., 19, 11743-11764, doi:10.5194/acp-19-11743-2019.
- Noel, V., et al. (2018), The diurnal cycle of cloud profiles over land and ocean between 51◦ S and 51◦ N, seen by the CATS spaceborne lidar from the International Space Station, Atmos. Chem. Phys., 18, 9457-9473, doi:10.5194/acp-18-9457-2018.
- Di Noia, A., et al. (2017), Combined neural network/Phillips–Tikhonov approach to aerosol retrievals over land from the NASA Research Scanning Polarimeter, Atmos. Meas. Tech., 10, 4235-4252, doi:10.5194/amt-10-4235-2017.
- Rajapakshe, C., et al. (2017), Seasonally transported aerosol layers over southeast Atlantic are closer to underlying clouds than previously reported, Geophys. Res. Lett., 44, 5818-5825, doi:10.1002/2017GL073559.
- Sinclair, K., et al. (2017), Remote sensing of multiple cloud layer heights using multi-angular measurements, Atmos. Meas. Tech., 10, 2361-2375, doi:10.5194/amt-10-2361-2017.
- Alexandrov, M. D., et al. (2016), Polarized view of supercooled liquid water clouds, Remote Sensing of Environment, 181, 96-110, doi:10.1016/j.rse.2016.04.002.
- Hughes, E. J., et al. (2016), Using CATS near-real-time lidar observations to monitor and constrain volcanic sulfur dioxide (SO2) forecasts, Geophys. Res. Lett., 43, 11,089-11,097, doi:10.1002/2016GL070119.
- Meyer, K. G., et al. (2016), Cirrus cloud optical and microphysical property retrievals from eMAS during SEAC4RS using bi-spectral reflectance measurements within the 1.88 µm water vapor absorption band, Atmos. Meas. Tech., 9, 1743-1753, doi:10.5194/amt-9-1743-2016.
- van Diedenhoven, B., et al. (2016), Vertical variation of ice particle size in convective cloud tops, Geophys. Res. Lett., 43, doi:10.1002/2016GL068548.
- Wu, L., et al. (2016), Passive remote sensing of aerosol layer height using near-UV multiangle polarization measurements, Geophys. Res. Lett., 43, 8783-8790, doi:10.1002/2016GL069848.
- Alexandrov, M. D., et al. (2015), Liquid water cloud properties during the Polarimeter Definition Experiment (PODEX), Remote Sensing of Environment, 169, 20-36, doi:10.1016/j.rse.2015.07.029.