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D. Spangenberg
Organization:
NASA Langley Research Center
Science Systems and Applications, Inc.
First Author Publications:
Co-Authored Publications:
- Painemal, D., et al. (2023), Wintertime Synoptic Patterns of Midlatitude Boundary Layer Clouds Over the Western North Atlantic: Climatology and Insights From In Situ ACTIVATE Observations, J. Geophys. Res., 128, e2022JD037725, doi:10.1029/2022JD037725.
- Painemal, D., et al. (2023), Wintertime Synoptic Patterns of Midlatitude Boundary Layer Clouds Over the Western North Atlantic: Climatology and Insights From In Situ ACTIVATE Observations, J. Geophys. Res., 128, e2022JD037725, doi:10.1029/2022JD037725.
- Sorooshian, A., et al. (2023), Spatially coordinated airborne data and complementary products for aerosol, gas, cloud, and meteorological studies: the NASA ACTIVATE dataset, Earth Syst. Sci. Data, 15, 3419-3472, doi:10.5194/essd-15-3419-2023.
- Minnis, P., et al. (2021), CERES MODIS Cloud Product Retrievals for Edition 4—Part I: Algorithm Changes, IEEE Trans. Geosci. Remote Sens., 59, 2744-2780, doi:10.1109/TGRS.2020.3008866.
- Redemann, J., et al. (2021), An overview of the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) project: aerosol–cloud–radiation interactions in the southeast Atlantic basin, Atmos. Chem. Phys., 21, 1507-1563, doi:10.5194/acp-21-1507-2021.
- Redemann, J., et al. (2020), An overview of the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) project: aerosol-cloud-radiation interactions in the Southeast Atlantic basin, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2020-449.
- Duda, D., et al. (2019), Northern Hemisphere contrail properties derived from Terra and Aqua MODIS data for 2006 and 2012, Atmos. Chem. Phys., 19, 5313-5330, doi:10.5194/acp-19-5313-2019.
- Yost, C., et al. (2018), A prototype method for diagnosing high ice water content probability using satellite imager data, Atmos. Meas. Tech., 11, 1615-1637, doi:10.5194/amt-11-1615-2018.
- Ryu, Y., et al. (2017), Improved modeling of cloudy-sky actinic flux using satellite cloud retrievals, Geophys. Res. Lett., 44, doi:10.1002/2016GL071892.
- Creamean, J. M., et al. (2016), The relationships between insoluble precipitation residues, clouds, and precipitation over California’s southern Sierra Nevada during winter storms, Atmos. Environ., 140, 298-310, doi:10.1016/j.atmosenv.2016.06.016.
- Beswick, K., et al. (2015), Cirrus properties from commercial aircraft measurements and implications for flight operations, Tellus, 67, 22, doi:10.3402/tellusb.v67.27876.
- Minnis, P., et al. (2013), Linear contrail and contrail cirrus properties determined from satellite data, Geophys. Res. Lett., 40, 3220-3226, doi:10.1002/grl.50569.
- Smith, W., et al. (2012), Determining the Flight Icing Threat to Aircraft with Single-Layer Cloud Parameters Derived from Operational Satellite Data, J. Appl. Meteor. Climat., 51, 1794-1810, doi:10.1175/JAMC-D-12-057.1.
- Minnis, P., et al. (2011), CERES Edition-2 cloud property retrievals using TRMM VIRS and Terra and Aqua MODIS data, Part II: Examples of average results and comparisons with other data, IEEE Trans. Geosci. Remote Sens., 49, 11-2892).
- Minnis, P., et al. (2011), CERES Edition-2 cloud property retrievals using TRMM VIRS and Terra and Aqua MODIS data, Part I: Algorithms, IEEE Trans. Geosci. Remote Sens., 49, 11-2892).
- Minnis, P., et al. (2011), CERES Edition-2 Cloud Property Retrievals Using TRMM VIRS and Terra and Aqua MODIS Data—Part II: Examples of Average Results and Comparisons With Other Data, IEEE Trans. Geosci. Remote Sens., 49, 4401-4430, doi:10.1109/TGRS.2011.2144602.
- Chang, F., et al. (2010), A modified method for inferring upper troposphere cloud top height using the GOES 12 imager 10.7 and 13.3 mm data, J. Geophys. Res., 115, D06208, doi:10.1029/2009JD012304.
- Chang, F., et al. (2010), Evaluation of satellite‐based upper troposphere cloud top height retrievals in multilayer cloud conditions during TC4, J. Geophys. Res., 115, D00J05, doi:10.1029/2009JD013305.
- Klein, S. A., et al. (2009), Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. Part I: Single-layer cloud, Q. J. R. Meteorol. Soc., 135, 979-1002, doi:10.1002/qj.416.
- Yost, C., et al. (2009), Parameterization of cirrus microphysical property profiles using GOES, CloudSat, and CALIPSO data. Eos Trans., AGU, 90, 14-17.
- Minnis, P., et al. (2008), Cloud Detection in Nonpolar Regions for CERES Using TRMM VIRS and Terra and Aqua MODIS Data, IEEE Trans. Geosci. Remote Sens., 46, 3857-3884, doi:10.1109/TGRS.2008.2001351.
- Yang, Y., et al. (2008), Retrievals of Thick Cloud Optical Depth from the Geoscience Laser Altimeter System (GLAS) by Calibration of Solar Background Signal, J. Atmos. Sci., 65, 3513-3527, doi:10.1175/2008JAS2744.1.
- Chiriaco, M., et al. (2007), Comparison of CALIPSO-Like, LaRC, and MODIS Retrievals of Ice-Cloud Properties over SIRTA in France and Florida during CRYSTAL-FACE, J. Appl. Meteor. Climat., 46, 249-272, doi:10.1175/JAM2435.1.
Note: Only publications that have been uploaded to the
ESD Publications database are listed here.