Dr. Galina (Gala) Wind

Dr. Galina (Gala) Wind

  • Senior Research Scientist
  • Additional Roles: SR. MEMBER TECH STAF, Fire Warden
  • 301.614.6221
  • NASA/GSFC
  • Mail Code: 613
  • Greenbelt , MD 20771
  • Employer: SCIENCE SYSTEMS AND APPLICATIONS INC
  • Brief Bio

    Dr. Galina (Gala) Wind received the B.S. and M.C.S. degrees in computer science from the University of Illinois at Urbana-Champaign in 2000 and 2002 respectively and the M.S. and Ph.D. degrees in atmospheric and oceanic science from the University of Maryland College Park in 2010 and 2016 respectively.
    She has almost 30 years of experience in advanced software development, signal processing and data analysis at all levels from embedded real-time systems to high-performance computing applications. Dr. Wind is a Lead Research Scientist with the Science Systems and Applications, Inc in Lanham, MD and has been a member of the MODIS Science Team since 2002. Prior to that she was a member of the Laboratory for Computational Astrophysics at the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign between 1998 and 2002 and a member of the High Energy Physics Group at the University of Illinois at Urbana-Champaign between 1996 and 1998.
    She has a wide range of research interests from modeling applications to radiative transfer to remote sensing involving a wide variety of satellite and aircraft instruments.
     

    Research Interests

    Remote Sensing of Clouds and Aerosols

    Software Development

    Crossing Modeling With Remote Sensing

    Radiative Transfer

    Current Projects

    CHIMAERA

    The Cross-platform HIgh resolution Multi-instrument AtmosphEric Retrieval Algorithms (CHIMAERA) system allows the operational MODIS cloud product to run on fourteen different spaceborne and airborne instruments. We cover every orbit: L1, GEO, LEO and aircraft (ER-2, B-200, P-3, GlobalHawk). The CHIMAERA system uses a shared core to quickly and easily absorb new instruments and new science algorithms. Any science algorithm can easily link up to any instrument and any instrument can link up to any science algorithm it is interested in with a minimum amount of effort. CHIMAERA has allowed us to form extensive and productive collaborations with many other research groups and instrument teams. The system has been up and running since 2007 and is not showing any signs of really slowing down. CHIMAERA is highly fault-tolerant. When it is used as a field campaign data processing system a CHIMAERA operator can easily recover from partial instrument failures and continue producing scientifically useful retrievals.

    CHIMAERA is always on the lookout for new and unusual instruments to do cloud work on.

    MCARS

    The Multi-sensor Cloud and Aerosol Retreival Simulator (MCARS) is an advanced radiance OSSE that has been in operation since 2010. It is a true joint project between remote sensing (MODIS Cloud, MODIS Aerosol) and modeling (GMAO) communities. Imagine the MODIS instrument (or any other instrument) flying over planet Earth specified by GEOS-5 model (or any other model) and taking data. MCARS combines model profiles, real instrument geometry and real instrument response functions and produces radiance data using the radiative transfer codes from the remote sensing community. MCARS output is fully transparent to operations. Any retrieval code that reads MODIS radiance files can read MCARS output unaware of its source. All operational MODIS atmosphere algorithms can run on MCARS output. MCARS-generated radiances come with fully known state. MCARS gives algorithm developers a fully controlled proofing sandbox. MCARS has multiple run modes where a developer can isolate effects of specific assumptions and thresholds in their algorithm. MCARS uses same kind of downscaled model input as COSP simulators. MCARS can act as a retrieval proxy proving ground for the modeling community. MCARS radiances combined with operational retrieval algorithms can act as a "ground truth" for COSP simulators as gridded products made from MCARS radiances can be compared directly to COSP output as they both started from known state.

    There is literally a thousand applications for MCARS and I am drowning in planned studies with that code.

    MARA

    Multi-instrument Atmospheric Retrieval Aggregation (MARA) is a novel approach to creating Level-3 gridded statistical aggregation products from any instrument(s) that the CHIMAERA system supports. MARA uses a "language" of sorts where an operator can specify in just a few words something that will turn into a hundred datasets on output as opposed to having to specify each of those hundred datasets individually in a filespec process. MARA's code base is partially self-altering. It uses an AI-ish core that I wrote after I finished high school, called Moonflower. If an operator specifies something that is not in the current database of commands that MARA understands, the operator has an option of teaching MARA something new. The system will write most of the code needed to support the new operation on its own and the operator would only need to insert any code that is directly science-related. MARA's Moonflower core takes care of the engineering side of things.

    Unlike my other fun and exciting projects, MARA is very new, less than a year old, so it hasn't really seen very wide use, but time will tell, right? 

    Positions/Employment

    5/2002 - Present

    Programmer/Analyst through Lead Research Scientist

    SSAI, Inc (02.2005-present), sub-contracted by SSAI (05.2002-02.2005), Code 613 B33/C316 NASA GSFC 8800 Greenbelt Rd. Greenbelt MD, 20771

    Development lead on the Cross-platform HIgh resolution Multi-instrument AtmosphEric Retrieval Algorithms (CHIMAERA) system. CHIMAERA runs the operational MODIS cloud optical and microphysical properties algorithm on 13 different spaceborne and airborne instruments using a shared-core architecture. CHIMAERA's unique design allows us to add a new sensor to the system in as little as a couple of days. CHIMAERA also doubles as a field processing system for airborne sensors. It is highly fault-tolerant and allows an operator to easily recover from partial instrument failures in the field and continue producing science data.

    Lead developer on Multi-sensor Cloud and Aerosol Retrieval Simulator (MCARS). MCARS is a radiance-level OSSE, currently running as a combination of MODIS instrument and GEOS-5 model. MCARS can operate with any model and emulate any sensor. MCARS is a fully controlled algorithm proofing sandbox that allows a developer to pull apart their research or operational remore sensing algorithm or a modeling proxy and examine various sensitivities in isolation. MCARS outputs MODIS L1B files that are completely transparent to operations. MCARS is a unique cross-disciplinary project, a full collaboration between modeling and remote sensing communities.

    9/1998 - 5/2002

    Scientific Programmer / Research Assistant

    National Center for Supercomputing Applications (NCSA), Urbana, IL

    Co-lead on the LCA Vision scientific visualization tool at the Laboratory for Computational Astrophysics.

    9/1996 - 5/1998

    Research Assistant

    High Energy Physics University of Illinois at Urbana-Champaign, Urbana, IL

    Undergraduate research assistant to Dr. Mats Selen.

    1996 -- wrote the code for syncronization of neutrino detectors using the Global Positioning System

    1997 -- hardware build for the CLEO detector at Cornell, prototyping for CAMAC architecture for CERN experiments. All hardware, assembly programming, FPGAs, logic analyzers all that sort of good fun.

    12/1994 - 8/1996

    PC Technician

    American Computer Systems, Inc, St. Louis, MO

    Custom build, repair and upgrades of personal computers.

    Teaching Experience

    2002 -- Instructor ARTGD 332/333, University of Illinois at Urbana-Champaign

    Education

    PhD,  Atmospheric and Oceanic Science, University of Maryland College Park, 2016

    MS, Atmospheric and Oceanic Science, University of Maryland College Park, 2010

    Master of Computer Science, University of Illinois at Urbana-Champaign, 2002

    BS, Computer Science, with Honors, University of Illinois at Urbana-Champaign, 2000

    Professional Societies

    AGU, 2015 - Present
    EGU, 2016 - Present

    Awards

    2008 -- NASA Group Achievement Award

    2015 -- Earth Sciences Division Atmospheres Contractor and Partner Performance Award

    2004, 2008, 2014 -- Climate and Radiation Branch awards

     

    Publications

    Refereed

    Werner, F., Z. Zhang, G. Wind, D. J. Miller, and S. Platnick. 2018. "Quantifying the Impacts of Subpixel Reflectance Variability on Cloud Optical Thickness and Effective Radius Retrievals Based On High-Resolution ASTER Observations." Journal of Geophysical Research: Atmospheres, 123 (8): 4239-4258 [10.1002/2017jd027916]

    Simon, A. A., D. Reuter, N. J. Gorius, et al. A. W. Lunsford, R. Cosentino, G. Wind, D. Lauretta, and O.-R. Team. 2018. "In-Flight Calibration and Performance of the OSIRIS-REx Visible and IR Spectrometer (OVIRS)." Remote Sensing, 10 (9): 1486 [10.3390/rs10091486]

    Werner, F., Z. Zhang, G. Wind, et al. D. J. Miller, S. Platnick, and L. Di Girolamo. 2018. "Improving cloud optical property retrievals for partly cloudy pixels using coincident higher-resolution single band measurements: A feasibility study using ASTER observations." Journal of Geophysical Research: Atmospheres, (In Press) [10.1029/2018jd028902]

    Platnick, S. E., K. G. Meyer, M. D. King, et al. G. Wind, N. Amarasinghe, B. Marchant, G. T. Arnold, Z. Zhang, P. A. Hubanks, R. E. Holz, P. Yang, W. L. Ridgway, and J. Riedi. 2017. "The MODIS cloud optical and microphysical products: Collection 6 updates and examples from Terra and Aqua." IEEE Trans. Geosci. Remote Sens. , 55 (1): 502–525 [10.1109/TGRS.2016.2610522]

    Wang, C., S. E. Platnick, Z. Zhang, et al. K. G. Meyer, G. Wind, and P. Yang. 2016. "Retrieval of ice cloud properties using an optimal estimation algorithm and MODIS infrared observations: 2. Retrieval evaluation." J. Geophys. Res. Atmos., 121: [10.1002/2015jd024528]

    Holz, R. E., S. E. Platnick, K. G. Meyer, et al. M. Vaughan, A. Heidinger, P. Yang, G. Wind, S. Dutcher, S. Ackerman, N. Amarasinghe, F. Nagle, and C. Wang. 2016. "Resolving ice cloud optical thickness biases between CALIOP and MODIS using infrared retrievals." Atmos. Chem. Phys., 16 (8): 5075-5090 [10.5194/acp-16-5075-2016]

    Zhang, Z., F. Werner, H.-M. Cho, et al. G. Wind, S. Platnick, A. S. Ackerman, L. Di Girolamo, A. Marshak, and K. Meyer. 2016. "A framework based on 2-D Taylor expansion for quantifying the impacts of subpixel reflectance variance and covariance on cloud optical thickness and effective radius retrievals based on the bispectral method." Journal of Geophysical Research: Atmospheres, 121 (12): 7007-7025 [10.1002/2016jd024837]

    Wind, G., A. M. da Silva, P. M. Norris, et al. S. Platnick, S. Mattoo, and R. C. Levy. 2016. "Multi-sensor cloud and aerosol retrieval simulator and remote sensing from model parameters – Part 2: Aerosols." Geosci. Model Dev., 9 (7): 2377-2389 [10.5194/gmd-9-2377-2016]

    Song, S., K. S. Schmidt, P. Pilewskie, et al. M. D. King, A. K. Heidinger, A. Walther, H. Iwabuchi, G. Wind, and O. M. Coddington. 2016. "The spectral signature of cloud spatial structure in shortwave irradiance." Atmospheric Chemistry and Physics, 16 (21): 13791-13806 [10.5194/acp-16-13791-2016]

    Werner, F., G. Wind, Z. Zhang, et al. S. Platnick, L. Di Girolamo, G. Zhao, N. Amarasinghe, and K. Meyer. 2016. "Marine boundary layer cloud property retrievals from high-resolution ASTER observations: case studies and comparison with Terra MODIS." Atmospheric Measurement Techniques, 9 (12): 5869-5894 [10.5194/amt-9-5869-2016]

    Hamann, U., A. Walther, B. Baum, et al. R. Bennartz, L. Bugliaro, M. Derrien, P. N. Francis, A. Heidinger, S. Joro, A. Kniffka, H. Le Gléau, M. Lockhoff, H.-J. Lutz, J. F. Meirink, P. Minnis, R. Palikonda, R. Roebeling, A. Thoss, S. E. Platnick, P. Watts, and G. Wind. 2014. "Remote sensing of cloud top pressure/height from SEVIRI: analysis of ten current retrieval algorithms." Atmos. Meas. Tech., 7: 2839-2867 [10.5194/amt-7-2839-2014]

    Wind, G., A. M. Da Silva, P. M. Norris, and S. E. Platnick. 2013. "Multi-sensor cloud retrieval simulator and remote sensing from model parameters – Part 1: Synthetic sensor radiance formulation." Geosci. Model Dev., 6 (6): 2049-2062 [10.5194/gmd-6-2049-2013]

    King, M. D., S. Platnick, G. Wind, G. T. Arnold, and R. T. Dominguez. 2010. "Remote sensing of radiative and microphysical properties of clouds during TC⁴ : Results from MAS, MASTER, MODIS, and MISR." J. Geophys. Res., 115: D00J07 [10.1029/2009JD013277]

    Schmidt, K. S., P. Pilewskie, B. Mayer, et al. M. Wendisch, B. Kindel, S. Platnick, M. D. King, G. Wind, G. T. Arnold, L. Tian, G. Heymsfield, and H. Kalesse. 2010. "Apparent absorption of solar spectral irradiance in heterogeneous ice clouds." J. Geophys. Res., 115 (D10): D00J22 [10.1029/2009JD013124]

    Joiner, J., A. Vasilkov, P. K. Bhartia, et al. G. Wind, S. E. Platnick, and W. Menzel. 2010. "Detection of multi-layer and vertically-extended clouds using A-train sensors." Atmos Meas Tech, 3 (1): 233-247 [10.5194/amt-3-233-2010]

    Wind, G., S. Platnick, M. King, et al. P. Hubanks, M. Pavolonis, A. Heidinger, P. Yang, and B. Baum. 2010. "Multilayer Cloud Detection with the MODIS Near-Infrared Water Vapor Absorption Band." J. Appl. Meteor. Climatol., 49 (11): 2315-2333 [10.1175/2010JAMC2364.1]

    Zinner, T., G. Wind, S. E. Platnick, and A. S. Ackerman. 2010. "Testing remote sensing on artificial observations: impact of drizzle and 3-D cloud structure on effective radius retrievals." Atmos. Chem. Phys., 10 (19): 9535-9549 [10.5194/acp-10-9535-2010]

    Coddington, O. M., P. Pilewskie, J. Redemann, et al. S. Platnick, P. B. Russell, K. S. Schmidt, W. J. Gore, J. Livingston, G. Wind, and T. Vukicevic. 2010. "Examining the impact of overlying aerosols on the retrieval of cloud optical properties from passive remote sensing." Journal of Geophysical Research, 115 (D10): D10211 [10.1029/2009jd012829]

    Chiriaco, M., H. Chepfer, P. Minnis, et al. M. Haeffelin, S. E. Platnick, D. Baumgardner, P. Dubuisson, M. J. Mcgill, V. Noel, J. Pelon, D. Spangenberg, S. Sun-Mack, and G. Wind. 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 Clim, 46 (3): 249-272 [10.1175/JAM2435.1]

    Schmidt, K. S., P. Pilewskie, S. Platnick, et al. G. Wind, P. Yang, and M. Wendisch. 2007. "Comparing irradiance fields derived from Moderate Resolution Imaging Spectroradiometer airborne simulator cirrus cloud retrievals with solar spectral flux radiometer measurements." Journal of Geophysical Research, 112 (D24): D24206 [10.1029/2007jd008711]

    McFarquhar, G. M., S. Platnick, L. Di Girolamo, et al. H. Wang, G. Wind, and G. Zhao. 2004. "Trade wind cumuli statistics in clean and polluted air over the Indian Ocean from in situ and remote sensing measurements." Geophysical Research Letters, 31 (21): L21105 [10.1029/2004gl020412]

    Talks, Presentations and Posters

    S. Platnick, K. Meyer, R. Holz, S.A. Ackerman, A. Heidinger, G. Wind, N. Amarasinghe: AS09-D1-AM2-319A-010 (AS09-A031) Progress in Porting NASA VIIRS-Like Cloud Property Algorithms to ABI and AHI Imagers

    6 / 4 / 2018

    J. Riedi, G. Wind, M. Patou, S. Platnick, A. Heidinger, F. Thieuleux, K. Meyer, J. Vidot: AS09-D1-AM2-319A-011 (AS09-A034) Validation and Temporal Analysis of the SEV06-CLD Cloud Product, a MODIS-Like Cloud Properties Dataset from SEVIRI/MSG

    6 / 4 / 2018

    H. Chen, S. Schmidt, O. Coddington, G. Wind, A. Bucholtz, M. Segal-Rosenhaimer, S.E. LeBlanc: A51E-2114: Validation of Cloud Optical Parameters from Passive Remote Sensing in the Arctic by using the Aircraft Measurements

     

    12 / 15 / 2017

    F. Werner, G. Wind, Z. Zhang, S. Platnick: A21A-2143: Partially Cloudy Retrievals: Case Studies with High-resolution ASTER Data and Applicability to MODIS Observations

    12 / 12 / 2017

    S. Platnick, K. Meyer, R. Holz, S.A. Ackerman, A. Heidinger, G. Wind, C. Wang, B. Marchant, R. Frey: A11N-08: Progress towards NASA MODIS and Suomi NPP Cloud Property Data Record Continuity

    12 / 11 / 2017

    G. Wind, A. Da Silva, K. Meyer, S. Platnick, R. Levy, P. Norris, and S. Mattoo, 2017: “Multi-sensor Cloud and Aerosol Retrieval Simulator and its applications” ELS-XVI oral presentation, College Park, MD March 20-24, 2017

    3 / 20 / 2017

    Z. Zhang, F. Werner, H.-M. Cho, G. Wind, S. Platnick, A. S. Ackerman, L. Di Girolamo, A. Marshak, and K. Meyer, 2017: “A framework based on 2-D Taylor expansion for quantifying the impacts of sub-pixel reflectance variance and covariance on cloud optical thickness and effective radius retrievals based on the bi-spectral method” ELS-XVI oral presentation, College Park, MD March 20-24, 2017

    3 / 22 / 2017

    S. Platnick, K. Meyer, G. Wind, N. Amarasinghe, R. Holz, S. A. Ackerman, R. Frey, A Heidinger, A. Walther, S. Dutcher, L. Gumley, 2017: “Progress towards NASA MODIS and VIIRS Cloud Optical Property Data Record Continuity”, AMS annual meeting, Seattle, WA January 24, 2017
     

    1 / 24 / 2017

    Selected Public Outreach

    NASA Explorer Schools 6 / 2004 - 7 / 2006

    Participated in the NASA Explorer Schools program where middle and high school science teachers visited Goddard over the summer to attend workshops and shadow scientists. The program ended, which is really too bad, because I think the teachers were getting a valuable experience hanging out with us.

    Howard County Public School System 1 / 2015 - Present

    Regular entertainer at the Bollman Bridge Elementary School STEM-related events. I have given numerous talks on various scientific topics. I have taught astrophysics to first graders. I have taught numerical integration and weather forecasting to third graders. I have given remote sensing talks to kindergartners and second graders. And of course the biology talk every spring that includes live baby frogs is always a hit.

    The crowd keeps asking me to come back, so I guess they enjoy my goofy science shows.

    Brief Bio

    Dr. Galina (Gala) Wind received the B.S. and M.C.S. degrees in computer science from the University of Illinois at Urbana-Champaign in 2000 and 2002 respectively and the M.S. and Ph.D. degrees in atmospheric and oceanic science from the University of Maryland College Park in 2010 and 2016 respectively.
    She has almost 30 years of experience in advanced software development, signal processing and data analysis at all levels from embedded real-time systems to high-performance computing applications. Dr. Wind is a Lead Research Scientist with the Science Systems and Applications, Inc in Lanham, MD and has been a member of the MODIS Science Team since 2002. Prior to that she was a member of the Laboratory for Computational Astrophysics at the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign between 1998 and 2002 and a member of the High Energy Physics Group at the University of Illinois at Urbana-Champaign between 1996 and 1998.
    She has a wide range of research interests from modeling applications to radiative transfer to remote sensing involving a wide variety of satellite and aircraft instruments.
     

    Publications

    Refereed

    Werner, F., Z. Zhang, G. Wind, D. J. Miller, and S. Platnick. 2018. "Quantifying the Impacts of Subpixel Reflectance Variability on Cloud Optical Thickness and Effective Radius Retrievals Based On High-Resolution ASTER Observations." Journal of Geophysical Research: Atmospheres 123 (8): 4239-4258 [10.1002/2017jd027916]

    Simon, A. A., D. Reuter, N. J. Gorius, et al. A. W. Lunsford, R. Cosentino, G. Wind, D. Lauretta, and O.-R. Team. 2018. "In-Flight Calibration and Performance of the OSIRIS-REx Visible and IR Spectrometer (OVIRS)." Remote Sensing 10 (9): 1486 [10.3390/rs10091486]

    Werner, F., Z. Zhang, G. Wind, et al. D. J. Miller, S. Platnick, and L. Di Girolamo. 2018. "Improving cloud optical property retrievals for partly cloudy pixels using coincident higher-resolution single band measurements: A feasibility study using ASTER observations." Journal of Geophysical Research: Atmospheres (In Press) [10.1029/2018jd028902]

    Platnick, S. E., K. G. Meyer, M. D. King, et al. G. Wind, N. Amarasinghe, B. Marchant, G. T. Arnold, Z. Zhang, P. A. Hubanks, R. E. Holz, P. Yang, W. L. Ridgway, and J. Riedi. 2017. "The MODIS cloud optical and microphysical products: Collection 6 updates and examples from Terra and Aqua." IEEE Trans. Geosci. Remote Sens. 55 (1): 502–525 [10.1109/TGRS.2016.2610522]

    Wang, C., S. E. Platnick, Z. Zhang, et al. K. G. Meyer, G. Wind, and P. Yang. 2016. "Retrieval of ice cloud properties using an optimal estimation algorithm and MODIS infrared observations: 2. Retrieval evaluation." J. Geophys. Res. Atmos. 121 [10.1002/2015jd024528]

    Holz, R. E., S. E. Platnick, K. G. Meyer, et al. M. Vaughan, A. Heidinger, P. Yang, G. Wind, S. Dutcher, S. Ackerman, N. Amarasinghe, F. Nagle, and C. Wang. 2016. "Resolving ice cloud optical thickness biases between CALIOP and MODIS using infrared retrievals." Atmos. Chem. Phys. 16 (8): 5075-5090 [10.5194/acp-16-5075-2016]

    Zhang, Z., F. Werner, H.-M. Cho, et al. G. Wind, S. Platnick, A. S. Ackerman, L. Di Girolamo, A. Marshak, and K. Meyer. 2016. "A framework based on 2-D Taylor expansion for quantifying the impacts of subpixel reflectance variance and covariance on cloud optical thickness and effective radius retrievals based on the bispectral method." Journal of Geophysical Research: Atmospheres 121 (12): 7007-7025 [10.1002/2016jd024837]

    Wind, G., A. M. da Silva, P. M. Norris, et al. S. Platnick, S. Mattoo, and R. C. Levy. 2016. "Multi-sensor cloud and aerosol retrieval simulator and remote sensing from model parameters – Part 2: Aerosols." Geosci. Model Dev. 9 (7): 2377-2389 [10.5194/gmd-9-2377-2016]

    Song, S., K. S. Schmidt, P. Pilewskie, et al. M. D. King, A. K. Heidinger, A. Walther, H. Iwabuchi, G. Wind, and O. M. Coddington. 2016. "The spectral signature of cloud spatial structure in shortwave irradiance." Atmospheric Chemistry and Physics 16 (21): 13791-13806 [10.5194/acp-16-13791-2016]

    Werner, F., G. Wind, Z. Zhang, et al. S. Platnick, L. Di Girolamo, G. Zhao, N. Amarasinghe, and K. Meyer. 2016. "Marine boundary layer cloud property retrievals from high-resolution ASTER observations: case studies and comparison with Terra MODIS." Atmospheric Measurement Techniques 9 (12): 5869-5894 [10.5194/amt-9-5869-2016]

    Hamann, U., A. Walther, B. Baum, et al. R. Bennartz, L. Bugliaro, M. Derrien, P. N. Francis, A. Heidinger, S. Joro, A. Kniffka, H. Le Gléau, M. Lockhoff, H.-J. Lutz, J. F. Meirink, P. Minnis, R. Palikonda, R. Roebeling, A. Thoss, S. E. Platnick, P. Watts, and G. Wind. 2014. "Remote sensing of cloud top pressure/height from SEVIRI: analysis of ten current retrieval algorithms." Atmos. Meas. Tech. 7 2839-2867 [10.5194/amt-7-2839-2014]

    Wind, G., A. M. Da Silva, P. M. Norris, and S. E. Platnick. 2013. "Multi-sensor cloud retrieval simulator and remote sensing from model parameters – Part 1: Synthetic sensor radiance formulation." Geosci. Model Dev. 6 (6): 2049-2062 [10.5194/gmd-6-2049-2013]

    King, M. D., S. Platnick, G. Wind, G. T. Arnold, and R. T. Dominguez. 2010. "Remote sensing of radiative and microphysical properties of clouds during TC⁴ : Results from MAS, MASTER, MODIS, and MISR." J. Geophys. Res. 115 D00J07 [10.1029/2009JD013277]

    Schmidt, K. S., P. Pilewskie, B. Mayer, et al. M. Wendisch, B. Kindel, S. Platnick, M. D. King, G. Wind, G. T. Arnold, L. Tian, G. Heymsfield, and H. Kalesse. 2010. "Apparent absorption of solar spectral irradiance in heterogeneous ice clouds." J. Geophys. Res. 115 (D10): D00J22 [10.1029/2009JD013124]

    Joiner, J., A. Vasilkov, P. K. Bhartia, et al. G. Wind, S. E. Platnick, and W. Menzel. 2010. "Detection of multi-layer and vertically-extended clouds using A-train sensors." Atmos Meas Tech 3 (1): 233-247 [10.5194/amt-3-233-2010]

    Wind, G., S. Platnick, M. King, et al. P. Hubanks, M. Pavolonis, A. Heidinger, P. Yang, and B. Baum. 2010. "Multilayer Cloud Detection with the MODIS Near-Infrared Water Vapor Absorption Band." J. Appl. Meteor. Climatol. 49 (11): 2315-2333 [10.1175/2010JAMC2364.1]

    Zinner, T., G. Wind, S. E. Platnick, and A. S. Ackerman. 2010. "Testing remote sensing on artificial observations: impact of drizzle and 3-D cloud structure on effective radius retrievals." Atmos. Chem. Phys. 10 (19): 9535-9549 [10.5194/acp-10-9535-2010]

    Coddington, O. M., P. Pilewskie, J. Redemann, et al. S. Platnick, P. B. Russell, K. S. Schmidt, W. J. Gore, J. Livingston, G. Wind, and T. Vukicevic. 2010. "Examining the impact of overlying aerosols on the retrieval of cloud optical properties from passive remote sensing." Journal of Geophysical Research 115 (D10): D10211 [10.1029/2009jd012829]

    Chiriaco, M., H. Chepfer, P. Minnis, et al. M. Haeffelin, S. E. Platnick, D. Baumgardner, P. Dubuisson, M. J. Mcgill, V. Noel, J. Pelon, D. Spangenberg, S. Sun-Mack, and G. Wind. 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 Clim 46 (3): 249-272 [10.1175/JAM2435.1]

    Schmidt, K. S., P. Pilewskie, S. Platnick, et al. G. Wind, P. Yang, and M. Wendisch. 2007. "Comparing irradiance fields derived from Moderate Resolution Imaging Spectroradiometer airborne simulator cirrus cloud retrievals with solar spectral flux radiometer measurements." Journal of Geophysical Research 112 (D24): D24206 [10.1029/2007jd008711]

    McFarquhar, G. M., S. Platnick, L. Di Girolamo, et al. H. Wang, G. Wind, and G. Zhao. 2004. "Trade wind cumuli statistics in clean and polluted air over the Indian Ocean from in situ and remote sensing measurements." Geophysical Research Letters 31 (21): L21105 [10.1029/2004gl020412]

                                                                                                                                                                                            
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