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Sunny Sun-Mack
Organization:
NASA Langley Research Center
Business Address:
Aeronautics System Engineering Branch
Hampton, VA
United StatesFirst Author Publications:
- Sun-Mack, S., et al. (2024), Identification of ice-over-water multilayer clouds using multispectral satellite data in an artificial neural network, Atmos. Meas. Tech., 17, 3323-3346, doi:10.5194/amt-17-3323-2024.
- Sun-Mack, S., et al. (2019), Calibration Changes to Terra MODIS Collection-5 Radiances for CERES Edition 4 Cloud Retrievals, IEEE Trans. Geosci. Remote Sens., 1-17, doi:10.1109/TGRS.2018.2829902.
- Sun-Mack, S., et al. (2017), Detection of Single and Multilayer Clouds in an Artificial Neural Network Approach. Proc. SPIE Conf. Remote Sens. Clouds and the Atmos. XXII, Warsaw, Poland, 10424-7, 11-14, doi:10.1117/12.2277397.
- Sun-Mack, S., et al. (2014), Regional Apparent Boundary Layer Lapse Rates Determined from CALIPSO and MODIS Data for Cloud-Height Determination, J. Appl. Meteor. Climat., 53, 990-1011, doi:10.1175/JAMC-D-13-081.1.
- Sun-Mack, S., et al. (2007), Integrated Cloud-Aerosol-Radiation Product using CERES, MODIS, CALIPSO and CloudSat Data, Terms of Use, 6745, 674513-1, doi:10.1117/12.737903.
Co-Authored Publications:
- Stubenrauch, C., et al. (2024), Lessons Learned from the Updated GEWEX Cloud Assessment Database Claudia J. Stubenrauch1 · Stefan Kinne2 · Giulio Mandorli1 · William B. Rossow3 · David M. Winker4 · Steven A. Ackerman5 · Helene Chepfer1 · Larry Di Girolamo6 · Anne Garnier4,7 · Andrew Hei, Surv. Geophys., doi:10.1007/s10712-024-09824-0.
- Minnis, P., et al. (2023), VIIRS Edition 1 Cloud Properties for CERES, Part 1: Algorithm Adjustments and Results, Algorithm Adjustments and Results. Remote Sens., 15, 578, doi:10.3390/rs15030578.
- 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.
- Yost, C., et al. (2021), CERES MODIS Cloud Product Retrievals for Edition 4—Part II: Comparisons to CloudSat and CALIPSO, IEEE Trans. Geosci. Remote Sens., 59, 3695-3724, doi:10.1109/TGRS.2020.3015155.
- Foster, M. J., et al. (2020), State of the Climate in 2019: Cloudiness [in “State of the Climate in 2019”], Bull. Am. Meteor. Soc., 101, S51-S53, doi:10.1175/BAMS-D-20-0104.1.
- Foster, M. J., et al. (2019), State of the Climate in 2018: Cloudiness, Bull. Am. Meteor. Soc., 100, S34-S35, doi:10.1175/2019BAMSStateoftheClimate.1.
- Minnis, P., et al. (2019), Advances in neural network detection and retrieval of multilayer clouds for CERES using multispectral satellite data, Proc. SPIE Remote Sens. Clouds and Atmospheric., XXIV, 1-12, doi:10.1117/12.2532931.
- Trepte, Q. Z., et al. (2019), Global Cloud Detection for CERES Edition 4 Using Terra and Aqua MODIS Data, IEEE Trans. Geosci. Remote Sens., 57, 9410-9449, doi:10.1109/TGRS.2019.2926620.
- Foster, M. J., et al. (2018), State of the Climate in 2017: Cloudiness, Bull. Am. Meteor. Soc., 99, S31-S33.
- Loeb, N., et al. (2018), Impact of Ice Cloud Microphysics on Satellite Cloud Retrievals and Broadband Flux Radiative Transfer Model Calculations, J. Climate, 31, 1851-1864, doi:10.1175/JCLI-D-17-0426.1.
- Tian, J., et al. (2018), Comparisons of Ice Water Path in Deep Convective Systems Among Ground-Based, GOES, and CERES-MODIS Retrievals, J. Geophys. Res., 123, doi:10.1002/2017JD027498.
- Foster, M. J., et al. (2017), State of the Climate in 2016: Cloudiness, Bull. Am. Meteor. Soc., 98, S27-S28.
- Ham, S., et al. (2017), Cloud occurrences and cloud radiative effects (CREs) from CERES-CALIPSO-CloudSat-MODIS (CCCM) and CloudSat radar-lidar (RL) products, J. Geophys. Res., 122, doi:10.1002/2017JD026725.
- Dong, X., et al. (2016), A radiation closure study of Arctic stratus cloud microphysical properties using the collocated satellite-surface data and Fu-Liou radiative transfer model, J. Geophys. Res., 121, doi:10.1002/2016JD025255.
- Foster, M. J., et al. (2016), State of the Climate: Cloudiness, Bull. Am. Meteor. Soc., 97, S17-S18.
- Minnis, P., et al. (2016), Estimating nocturnal opaque ice cloud optical depth from MODIS multispectral infrared radiances using a neural network method, J. Geophys. Res., 121, 4907-4932, doi:10.1002/2015JD024456.
- Yan, H., et al. (2015), Comparison of CERES-MODIS cloud microphysical properties with surface observations over Loess Plateau, J. Quant. Spectrosc. Radiat. Transfer, 153, 65-76, doi:10.1016/j.jqsrt.2014.09.009.
- Ham, S., et al. (2014), Effects of 3-D clouds on atmospheric transmission of solar radiation: Cloud type dependencies inferred from A-train satellite data, J. Geophys. Res., 119, 943-963, doi:10.1002/2013JD020683.
- Xi, B., et al. (2014), Comparison of marine boundary layer cloud properties from CERES-MODIS Edition 4 and DOE ARM AMF measurements at the Azores, J. Geophys. Res., 119, doi:10.1002/2014JD021813.
- Painemal, D., P. Minnis, and S. Sun-Mack (2013), The impact of horizontal heterogeneities, cloud fraction, and liquid water path on warm cloud effective radii from CERES-like Aqua MODIS retrievals, Atmos. Chem. Phys., 13, 9997-10003, doi:10.5194/acp-13-9997-2013.
- Stubenrauch, C. J., et al. (2013), Assessment Of Global Cloud Datasets From Satellites: Project and Database Initiated by the GEWEX Radiation Panel, Bull. Am. Meteorol. Soc., 1031-1049, doi:10.1175/BAMS-D-12-00117.1.
- Hong, G., et al. (2012), Estimating effective particle size of tropical deep convective clouds with a look-up table method using satellite measurements of brightness temperature differences, J. Geophys. Res., 117, D06207, doi:10.1029/2011JD016652.
- Kato, S., et al. (2012), Uncertainty Estimate of Surface Irradiances Computed with MODIS-, CALIPSO-, and CloudSat-Derived Cloud and Aerosol Properties, Surv. Geophys., 33, 395-412, doi:10.1007/s10712-012-9179-x.
- Kato, S., et al. (2011), Detection of Atmospheric Changes in Spatially and Temporally Averaged Infrared Spectra Observed from Space, J. Climate, 24, 6392-6407, doi:10.1175/JCLI-D-10-05005.1.
- 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, 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.
- Zheng, X., et al. (2011), Observations of the boundary layer, cloud, and aerosol variability in the southeast Pacific near-coastal marine stratocumulus during VOCALS-REx, Atmos. Chem. Phys., 11, 9943-9959, doi:10.5194/acp-11-9943-2011.
- Chang, F.-L., et al. (2010), Comparisons of passive satellite-deduced overlapping cloud properties and CALIPSO/CloudSat data, EOS Trans AGU, 91, 22-25.
- Kato, S., et al. (2010), Relationships among cloud occurrence frequency, overlap, and effective thickness derived from CALIPSO and CloudSat merged cloud vertical profiles, J. Geophys. Res., 115, D00H28, doi:10.1029/2009JD012277.
- Waliser, D. E., et al. (2009), Cloud ice: A climate model challenge with signs and expectations of progress, J. Geophys. Res., 114, D00A21, doi:10.1029/2008JD010015.
- Dong, X., et al. (2008), Comparison of CERES-MODIS stratus cloud properties with groundbased measurements at the DOE ARM Southern Great Plains site, J. Geophys. Res., 113, D03204, doi:10.1029/2007JD008438.
- 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.
- Minnis, P., et al. (2008), Estimating the top altitude of optically thick ice clouds from thermal infrared satellite observations using CALIPSO data, Geophys. Res. Lett., 35, L12801, doi:10.1029/2008GL033947.
- Chepfer, H., et al. (2007), Nitric acid particles in cold thick ice clouds observed at global scale: Link with lightning, temperature, and upper tropospheric water vapor, J. Geophys. Res., 112, D05212, doi:10.1029/2005JD006602.
- 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.
- Hu, Y., et al. (2007), Global statistics of liquid water content and effective number concentration of water clouds over ocean derived from combined CALIPSO and MODIS measurements, Atmos. Chem. Phys., 7, 3353-3359, doi:10.5194/acp-7-3353-2007.
- Huang, J., et al. (2006), Determination of ice water path in ice-over-water cloud systems using combined MODIS and AMSR-E measurements, Geophys. Res. Lett., 33, L21801, doi:10.1029/2006GL027038.
- Huang, J., et al. (2006), Possible influences of Asian dust aerosols on cloud properties and radiative forcing observed from MODIS and CERES, Geophys. Res. Lett., 33, L06824, doi:10.1029/2005GL024724.
- Kato, S., et al. (2006), Seasonal and interannual variations of top-of-atmosphere irradiance and cloud cover over polar regions derived from the CERES data set, Geophys. Res. Lett., 33, L19804, doi:10.1029/2006GL026685.
- Ignatov, A., et al. (2005), Two MODIS Aerosol Products over Ocean on the Terra and Aqua CERES SSF Datasets, J. Atmos. Sci., 62, 1008-1031.
Note: Only publications that have been uploaded to the
ESD Publications database are listed here.