Patrick Minnis

Organization

NASA Langley Research Center

Science Systems and Applications, Inc.

Email

Contact person by email

Website

LaRC Cloud Page

First Author Publications

Minnis, P. (2024), Encyclopedia of Atmospheric Sciences, 3rd Edition, Elsevier Ltd., Oxford, UK, A. Detwiler, Ed., 10.1016/B978-0-323-9, dot.
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.
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.
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.
Minnis, P. (2015), Contrails, Encyclopedia of Atmospheric Sciences, 2nd Edition, Vol. 2, Elsevier Ltd, Oxford, UK,Gerald. R. North (editor in chief), John Pyle and Fuqing Zhang (editors), 121-132, doi:10.1016/B978-0-12-382225-3.00036-0.
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.
Minnis, P., et al. (2012), Simulations of Infrared Radiances over a Deep Convective Cloud System Observed during TC4: Potential for Enhancing Nocturnal Ice Cloud Retrievals, Remote Sens., 4, 3022-3054, doi:10.3390/rs4103022.
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.
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.
Minnis, P., et al. (2008), Assessment of the Visible Channel Calibrations of the VIRS on TRMM and MODIS on Aqua and Terra, J. Atmos. Oceanic Technol., 25, 385-400, doi:10.1175/2007JTECHA1021.1.
Minnis, P. (2007), Contrails, Our Changing Planet, 71-73.
Minnis, P., et al. (2007), Ice cloud properties in ice-over-water cloud systems using Tropical Rainfall Measuring Mission (TRMM) visible and infrared scanner and TRMM Microwave Imager data, J. Geophys. Res., 112, D06206, doi:10.1029/2006JD007626.
Minnis, P., et al. (2005), Contrail properties over the eastern North Pacific from AVHRR data, Meteorologische Zeitschrift, 14, 515-523, doi:10.1127/0941-2948/2005/0056.
Minnis, P., et al. (2005), Relationships between radiosonde and RUC-2 meteorological conditions and cloud occurrence determined from ARM data, J. Geophys. Res., 110, D23204, doi:10.1029/2005JD006005.
Minnis, P., et al. (2004), Azimuthal anisotropy of longwave and infrared window radiances from the Clouds and the Earth’s Radiant Energy System on the Tropical Rainfall Measuring Mission and Terra satellites, J. Geophys. Res., 109, D08202, doi:10.1029/2003JD004471.
Minnis, P., et al. (2004), Contrails, Cirrus Trends, and Climate, J. Climate, 17, 1671-1685.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.

Co-Authored Publications

Dong, ., and P. Minnis (2024), Chapter 6: Stratus, stratocumulus, and remote sensing. in Fast Processes in Large Scale Atmospheric Models: Progress, Challenges, and Opportunities. L. Donner, Y Liu, and P. Kollias, Eds. AGU Wiley Publ., 10.1002/978111952901, 141-200.
Ren, ., et al. (2024), On the Consistency of Ice Cloud Optical Models for Spaceborne Remote Sensing Applications and Broadband Radiative Transfer Simulations, J. Geophys. Res..
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.
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.
Li, ., et al. (2023), On the Scattering-Angle Dependence of the Spectral Consistency of Ice Cloud Optical Thickness Retrievals Based on Geostationary Satellite Observations, IEEE Trans. Geosci. Remote Sens., 61, 4108012, doi:10.1109/TGRS.2023.3331970.
Benjamin, S.G., et al. (2021), Stratiform Cloud-Hydrometeor Assimilation for HRRR and RAP Model Short-Range Weather Prediction, Mon. Wea. Rev., 149, 2673-2694, doi:10.1175/MWR-D-20-0319.1.
Feldman, D.R., et al. (2021), Subdiurnal to Interannual Frequency Analysis of Observed and Modeled Reflected Shortwave Radiation From Earth, Geophys. Res. Lett., 48, doi:10.1029/20220GL089221.
Valero, F., et al. (2021), Lagrange Point Missions: The Key to next Generation Integrated Earth Observations. DSCOVR Innovation, DSCOVR Innovation. Front. Remote Sens., 2, 745938, doi:10.3389/frsen.2021.745938.
Yost, C.R., 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.
Painemal, D., et al. (2020), Reducing uncertainties in satellite estimates of aerosol–cloud interactions over the subtropical ocean by integrating vertically resolved aerosol observations, Atmos. Chem. Phys., 20, 7167-7177, doi:10.5194/acp-20-7167-2020.
Su, W., et al. (2020), Determining the daytime Earth radiative flux from National Institute of Standards and Technology Advanced Radiometer (NISTAR) measurements, Atmos. Meas. Tech., 13, 429-443, doi:10.5194/amt-13-429-2020.
Albrecht, B., et al. (2019), Cloud System Evolution In The Trades (Cset): Following Evolution of Boundary Layer Cloud Systems with the NSF-NCAR GV, Bull. Am. Meteorol. Soc., 100, 93-121, doi:10.1175/BAMS-D-17-0180.1.
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.
Gultepe, I., et al. (2019), A Review of High Impact Weather for Aviation Meteorology, Pure Appl. Geophys., 176, 1869-1921, doi:10.1007/s00024-019-02168-6.
Kurzrock, F., et al. (2019), Evaluation of WRF-DART (ARW v3.9.1.1 and DART Manhattan release) multiphase cloud water path assimilation for short-term solar irradiance forecasting in a tropical environment, Geosci. Model. Dev., 12, 3939-3954, doi:10.5194/gmd-12-3939-2019.
Saito, M., et al. (2019), An Efficient Method for Microphysical Property Retrievals in Vertically Inhomogeneous Marine Water Clouds Using MODIS‐ CloudSat Measurements, J. Geophys. Res., 124, 2174-2193, doi:10.1029/2018JD029659.
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.
Trepte, ., 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.
Jones, T., et al. (2018), Comparison of Cloud Microphysics Schemes in a Warn-on-Forecast System Using Synthetic Satellite Objects, Jones Et Al., doi:10.1175/WAF-D-18-0112.1.
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.
McHardy, T.M., et al. (2018), Comparison of Daytime Low-Level Cloud Properties Derived From GOES and ARM SGP Measurements, J. Geophys. Res., 123, 8221-8237, doi:10.1029/2018JD028911.
Ryu, Y., et al. (2018), Quantifying errors in surface ozone predictions associated with clouds over the CONUS: a WRF-Chem modeling study using satellite cloud retrievals, Atmos. Chem. Phys., 18, 7509-7525, doi:10.5194/acp-18-7509-2018.
Skinner, P., et al. (2018), Object-Based Verification of a Prototype Warn-on-Forecast System, Skinner Et Al., doi:10.1175/WAF-D-18-0020.1.
Su, W., et al. (2018), Determining the Shortwave Radiative Flux From Earth Polychromatic Imaging Camera, J. Geophys. Res., 123, 11,479-11,491, doi:10.1029/2018JD029390.
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.
Wall, C.J., et al. (2018), The Life Cycle of Anvil Clouds and the Top-of-Atmosphere Radiation Balance over the Tropical West Pacific, J. Climate, 31, 10059-10080, doi:10.1175/JCLI-D-18-0154.1.
Wood, R., et al. (2018), Ultraclean Layers and Optically Thin Clouds in the Stratocumulus-to-Cumulus Transition. Part I: Observations, J. Atmos. Sci., 75, 1631-1652, doi:10.1175/JAS-D-17-0213.1.
Yost, C.R., 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.
Brasseur, G.P., et al. (2017), Impact of Aviation: FAA's Aviation Climate Change Research Initiative (ACCRI) Phase II, Bull. Am. Meteorol. Soc., 98, 561-583, doi:10.1175/BAMS-D-13-00089.1.
Foster, M.J., et al. (2017), State of the Climate in 2016: Cloudiness, Bull. Am. Meteor. Soc., 98, S27-S28.
Khlopenkov, K., et al. (2017), Development of Multi-Sensor Global Cloud and Radiance Composites for Earth Radiation Budget Monitoring from DSCOVR. Proc. SPIE Conf. Remote Sens. Clouds and the Atmos. XXII, Warsaw, Poland, 10424-19, 11-14, doi:10.1117/12.2278645.
Painemal, D., et al. (2017), Aerosol and cloud microphysics covariability in the northeast Pacific boundary layer estimated with ship-based and satellite remote sensing observations, J. Geophys. Res., 122, 2403-2418, doi:10.1002/2016JD025771.
Painemal, D., et al. (2017), Entrainment rate diurnal cycle in marine stratiform clouds estimated from geostationary satellite retrievals and a meteorological forecast model, Geophys. Res. Lett., 44, doi:10.1002/2017GL074481.
Reid, J.S., et al. (2017), Ground-based High Spectral Resolution Lidar observation of aerosol vertical distribution in the summertime Southeast United States, J. Geophys. Res., 122, doi:10.1002/2016JD025798.
Ryu, Y., et al. (2017), Improved modeling of cloudy-sky actinic flux using satellite cloud retrievals, Geophys. Res. Lett., 44, doi:10.1002/2016GL071892.
Scarino, B., et al. (2017), Global clear-sky surface skin temperature from multiple satellites using a single-channel algorithm with angular anisotropy corrections, Atmos. Meas. Tech., 10, 351-371, doi:10.5194/amt-10-351-2017.
Schumann, U., et al. (2017), Properties of individual contrails: a compilation of observations and some comparisons, Atmos. Chem. Phys., 17, 403-438, doi:10.5194/acp-17-403-2017.
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.
Zhang, Z., et al. (2017), Intercomparisons of marine boundary layer cloud properties from the ARM CAP-MBL campaign and two MODIS cloud products, J. Geophys. Res., 122, doi:10.1002/2016JD025763.
Bhatt, R., et al. (2016), A Consistent AVHRR Visible Calibration Record Based on Multiple Methods Applicable for the NOAA Degrading Orbits. Part I: Methodology, J. Atmos. Oceanic Technol., 33, 2499-2515, doi:10.1175/JTECH-D-16-0044.1.
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.
Doelling, D., et al. (2016), A Consistent AVHRR Visible Calibration Record Based on Multiple Methods Applicable for the NOAA Degrading Orbits. Part II: Validation, J. Atmos. Oceanic Technol., 33, 2517-2534, doi:10.1175/JTECH-D-16-0042.1.
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.
Eleftheratos, K., et al. (2016), Kostas Eleftheratos, Gunnar Myhre, Patrick Minnis, Ioannis Kapsomenakis, and Christos Zerefos, Chapter 61, 827, doi:10.1007/978-3-319-30127-3_61.
Eleftheratos, K., et al. (2016), Chapter 61, Manmade Changes in Cirrus Clouds from 1984 to 2007: A Preliminary Study. In: Grammelis P. (eds) Energy, Transportation and Global Warming, Green Energy and Technology. Springer, Cham., 61, 827-836, doi:10.1007/978-3-319-30127-3_61.
Foster, M.J., et al. (2016), State of the Climate: Cloudiness, Bull. Am. Meteor. Soc., 97, S17-S18.
Jones, T., et al. (2016), Storm-Scale Data Assimilation and Ensemble Forecasting with the NSSL Experimental Warn-on-Forecast System. Part II: Combined Radar and Satellite Data Experiments, Wea. Forecasting, 297, 297-327, doi:10.1175/WAF-D-15-0107.1.
Painemal, D., et al. (2016), First extended validation of satellite microwave liquid water path with ship-based observations of marine low clouds, Geophys. Res. Lett., 43, doi:10.1002/2016GL069061.
Scarino, B., et al. (2016), A Web-Based Tool for Calculating Spectral Band Difference Adjustment Factors Derived From SCIAMACHY Hyperspectral Data, IEEE Trans. Geosci. Remote Sens., 54, 2529-2542, doi:10.1109/TGRS.2015.2502904.
Tang, S., et al. (2016), Large-scale vertical velocity, diabatic heating and drying profiles associated with seasonal and diurnal variations of convective systems observed in the GoAmazon2014/5 experiment, Atmos. Chem. Phys., 16, 14249-14264, doi:10.5194/acp-16-14249-2016.
Toon, O.B., et al. (2016), Planning, implementation, and scientific goals of the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) field mission, J. Geophys. Res., 121, 4967-5009, doi:10.1002/2015JD024297.
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.
Chen, Y., et al. (2015), Variational Assimilation of Cloud Liquid/Ice Water Path and Its Impact on NWP, J. Appl. Meteor. Climat., 54, 1809-1825, doi:10.1175/JAMC-D-14-0243.1.
Hong, G., and P. Minnis (2015), Effects of spherical inclusions on scattering properties of small ice cloud particles, J. Geophys. Res., 120, 2951-2969, doi:10.1002/2014JD022494.
Jones, T., et al. (2015), Simultaneous Radar and Satellite Data Storm-Scale Assimilation Using an Ensemble Kalman Filter Approach for 24 May 2011, Mon. Wea. Rev., 143, 165-194, doi:10.1175/MWR-D-14-00180.1.
Painemal, D., et al. (2015), Mean Structure and Diurnal Cycle of Southeast Atlantic Boundary Layer Clouds: Insights from Satellite Observations and Multiscale Modeling Framework Simulations, J. Climate, 28, 324-341, doi:10.1175/JCLI-D-14-00368.1.
Painemal, D., et al. (2015), Aerosol variability, synoptic-scale processes, and their link to the cloud microphysics over the northeast Pacific during MAGIC, J. Geophys. Res., 120, doi:10.1002/2015JD023175.
Stanfield, R.E., et al. (2015), Assessment of NASA GISS CMIP5 and Post-CMIP5 Simulated Clouds and TOA Radiation Budgets Using Satellite Observations. Part II: TOA Radiation Budget and CREs, J. Climate, 28, 1842-1864, doi:10.1175/JCLI-D-14-00249.1.
Wang, S., et al. (2015), Simulations of cloud-radiation interaction using large-scale forcing derived from the CINDY/DYNAMO northern sounding array, J. Adv. Modeling Earth Syst., 7, 1472-1498, doi:10.1002/2015MS000461.
Wood, R., et al. (2015), Clouds, Aerosols, And Precipitation In The Marine Boundary Layer: An ARM Mobile Facility Deployment, Bull. Am. Meteorol. Soc., 419.
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.
Eck, T.F., et al. (2014), Observations of rapid aerosol optical depth enhancements in the vicinity of polluted cumulus clouds, Atmos. Chem. Phys., 14, 11633-11656, doi:10.5194/acp-14-11633-2014.
Fan, J., et al. (2014), Aerosol impacts on California winter clouds and precipitation during CalWater 2011: local pollution versus long-range transported dust, Atmos. Chem. Phys., 14, 81-101, doi:10.5194/acp-14-81-2014.
Hamann, U., et al. (2014), Remote sensing of cloud top pressure/height from SEVIRI: analysis of ten current retrieval algorithms, Atmos. Meas. Tech., 7, 2839-2867, doi:10.5194/amt-7-2839-2014.
Liu, C., et al. (2014), A two-habit model for the microphysical and optical properties of ice clouds, Atmos. Chem. Phys., 14, 13719-13737, doi:10.5194/acp-14-13719-2014.
Painemal, D., et al. (2014), Mean Structure and diurnal cycle of Southeast Atlantic boundary layer clouds: Insights from satellite observations and multiscale modeling framework simulations, J. Climate-46 (submitted).
Painemal, D., et al. (2014), Boundary layer regulation in the southeast Atlantic cloud microphysics during the biomass burning season as seen by the A-train satellite constellation, J. Geophys. Res., 119, doi:10.1002/2014JD022182.
Shrestha, A.K., et al. (2014), Unfiltering Earth Radiation Budget Experiment (ERBE) Scanner Radiances Using the CERES Algorithm and Its Evaluation with Nonscanner Observations, J. Atmos. Oceanic Technol., 31, 843-859, doi:10.1175/JTECH-D-13-00072.1.
Stanfield, R.E., et al. (2014), Assessment of NASA GISS CMIP5 and Post-CMIP5 Simulated Clouds and TOA Radiation Budgets Using Satellite Observations. Part I: Cloud Fraction and Properties, J. Climate, 27, 4189-4208, doi:10.1175/JCLI-D-13-00558.1.
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.
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.
Bedka, S., et al. (2013), Properties of linear contrails in the Northern Hemisphere derived from 2006 Aqua MODIS observations, Geophys. Res. Lett., 40, 1-6, doi:10.1029/2012GL054363.
Creamean, J.M., et al. (2013), Dust and Biological Aerosols from the Sahara and Asia Influence Precipitation in the Western U.S., Science, 339, 1572-1578, doi:10.1126/science.1227279.
Doelling, D., et al. (2013), The Intercalibration of Geostationary Visible Imagers Using Operational Hyperspectral SCIAMACHY Radiances, IEEE Trans. Geosci. Remote Sens., 51, 1245-1254, doi:10.1109/TGRS.2012.2227760.
Duda, D., et al. (2013), Estimation of 2006 Northern Hemisphere contrail coverage using MODIS data, Geophys. Res. Lett., 40, 1-6, doi:10.1002/grl.50097.
Jones, T., et al. (2013), Evaluation of a Forward Operator to Assimilate Cloud Water Path into WRF-DART, Mon. Wea. Rev., 141, 2272-2289, doi:10.1175/MWR-D-12-00238.1.
Mecikalski, J., et al. (2013), Use of satellite derived cloud properties to quantify growing cumulus beneath cirrus clouds, Atmos. Res., 120–121, 192-201, doi:10.1016/j.atmosres.2012.08.017.
Painemal, D., et al. (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.
Painemal, D., et al. (2013), The Diurnal Cycle of Cloud-Top Height and Cloud Cover over the Southeastern Pacific as Observed by GOES-10, J. Atmos. Sci., 70, 2393-2408, doi:10.1175/JAS-D-12-0325.1.
Scarino, B., et al. (2013), Retrieving Clear-Sky Surface Skin Temperature for Numerical Weather Prediction Applications from Geostationary Satellite Data, Remote Sens., 5, 342-366, doi:10.3390/rs5010342.
Spangenberg, D., et al. (2013), Contrail radiative forcing over the Northern Hemisphere from 2006 Aqua MODIS data, Geophys. Res. Lett., 40, 1-6, doi:10.1002/GRL.50168.
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.
Van Weverberg, K., et al. (2013), The Role of Cloud Microphysics Parameterization in the Simulation of Mesoscale Convective System Clouds and Precipitation in the Tropical Western Pacific, J. Atmos. Sci., 70, 1104-1128, doi:10.1175/JAS-D-12-0104.1.
Jean-Paul, J.J., et al. (2013), Comment on “Large Volcanic Aerosol Load in the Stratosphere Linked to Asian Monsoon Transport”, Science, 339, 647-d, doi:10.1126/science.1227817.
Allen, G., et al. (2012), Gravity wave-induced perturbations in marine stratocumulus, Quart. Jour. Royal Met. Soc., 139, 32-45, doi:10.1002/qj.1947.
Doelling, D., et al. (2012), Spectral Reflectance Corrections for Satellite Intercalibrations Using SCIAMACHY Data, IEEE Geosci. Remote Sens. Lett., 9, 119-123, doi:10.1109/LGRS.2011.2161751.
Feng, Z., et al. (2012), Life cycle of midlatitude deep convective systems in a Lagrangian framework, J. Geophys. Res., 117, D23201, doi:10.1029/2012JD018362.
Fridlind, A.M., et al. (2012), A comparison of TWP-ICE observational data with cloud-resolving model results, J. Geophys. Res., 117, D05204, doi:10.1029/2011JD016595.
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.
Iwabuchi, H., et al. (2012), Physical and optical properties of persistent contrails: Climatology and interpretation, J. Geophys. Res., 117, D06215, doi:10.1029/2011JD017020.
Painemal, D., and P. Minnis (2012), On the dependence of albedo on cloud microphysics over marine stratocumulus clouds regimes determined from Clouds and the Earth’s Radiant Energy System (CERES) data, J. Geophys. Res., 117, D06203, doi:10.1029/2011JD017120.
Painemal, D., et al. (2012), GOES-10 microphysical retrievals in marine warm clouds: Multi-instrument validation and daytime cycle over the southeast Pacific, J. Geophys. Res., 117, D19212, doi:10.1029/2012JD017822.
Renault, L., et al. (2012), Upwelling response to atmospheric coastal jets off central Chile: A modeling study of the October 2000 event, J. Geophys. Res., 117, C02030, doi:10.1029/2011JC007446.
Saide Peralta, P.E., et al. (2012), Improving aerosol distributions below clouds by assimilating satellite-retrieved cloud droplet number, Proc. Natl. Acad. Sci., 109, 11939, doi:10.1073/pnas.1205877109.
Smith, W.L., 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.
Xie, Y., et al. (2012), Determination of ice cloud models using MODIS and MISR data, Intl. J. Remote. Sens., 33, 4219-4253, doi:10.1080/01431161.2011.642323.
Xie, Y., et al. (2012), Parameterization of contrail radiative properties for climate studies, Geophys. Res. Lett., 39, L00F02, doi:10.1029/2012GL054043.
Yi, B., et al. (2012), Simulation of the global contrail radiative forcing: A sensitivity analysis, Geophys. Res. Lett., 39, L00F03, doi:10.1029/2012GL054042.
Feng, Z., et al. (2011), Top-of-atmosphere radiation budget of convective core/stratiform rain and anvil clouds from deep convective systems, J. Geophys. Res., 116, D23202, doi:10.1029/2011JD016451.
Goldberg, M., et al. (2011), The Global Space-Based Inter-Calibration System, Bull. Am. Meteorol. Soc., 92, 467-475, doi:10.1175/2010BAMS2967.1.
Heymsfield, A.J., et al. (2011), Formation and Spread of Aircraft-Induced Holes in Clouds, Science, 77-81.
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Huang, ., et al. (2008), Long-range transport and vertical structure of Asian dust from CALIPSO and surface measurements during PACDEX, J. Geophys. Res., 113, D23212, doi:10.1029/2008JD010620.
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