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    An Effective Radius Retrieval for Thick Ice Clouds Using GOES 

    Source: Journal of Applied Meteorology and Climatology:;2008:;volume( 047 ):;issue: 004:;page 1222
    Author(s): Lindsey, Daniel T.; Grasso, Louie
    Publisher: American Meteorological Society
    Abstract: Satellite retrieval of cirrus cloud microphysical properties is an important but difficult problem because of uncertainties in ice-scattering characteristics. Most methods have been developed for instruments aboard ...
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    The Impacts of the 9 April 2009 Dust and Smoke on Convection 

    Source: Bulletin of the American Meteorological Society:;2010:;volume( 091 ):;issue: 008:;page 991
    Author(s): Lindsey, Daniel T.; Miller, Steven D.; Grasso, Louie
    Publisher: American Meteorological Society
    Abstract: No Abstract available.
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    Use of the GOES-R Split-Window Difference to Diagnose Deepening Low-Level Water Vapor 

    Source: Journal of Applied Meteorology and Climatology:;2014:;volume( 053 ):;issue: 008:;page 2005
    Author(s): Lindsey, Daniel T.; Grasso, Louie; Dostalek, John F.; Kerkmann, Jochen
    Publisher: American Meteorological Society
    Abstract: he depth of boundary layer water vapor plays a critical role in convective cloud formation in the warm season, but numerical models often struggle with accurate predictions of above-surface moisture. Satellite retrievals ...
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    GOES Climatology and Analysis of Thunderstorms with Enhanced 3.9-μm Reflectivity 

    Source: Monthly Weather Review:;2006:;volume( 134 ):;issue: 009:;page 2342
    Author(s): Lindsey, Daniel T.; Hillger, Donald W.; Grasso, Louie; Knaff, John A.; Dostalek, John F.
    Publisher: American Meteorological Society
    Abstract: By combining observations from the Geostationary Operational Environmental Satellite (GOES) 3.9- and 10.7-?m channels, the reflected component of the 3.9-?m radiance can be isolated. In this paper, these 3.9-?m reflectivity ...
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    Synthetic Satellite Imagery for Real-Time High-Resolution Model Evaluation 

    Source: Weather and Forecasting:;2012:;volume( 027 ):;issue: 003:;page 784
    Author(s): Bikos, Dan; Lindsey, Daniel T.; Otkin, Jason; Sieglaff, Justin; Grasso, Louie; Siewert, Chris; Correia, James; Coniglio, Michael; Rabin, Robert; Kain, John S.; Dembek, Scott
    Publisher: American Meteorological Society
    Abstract: utput from a real-time high-resolution numerical model is used to generate synthetic infrared satellite imagery. It is shown that this imagery helps to characterize model-simulated large-scale precursors to the formation ...
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    S4: An O2R/R2O Infrastructure for Optimizing Satellite Data Utilization in NOAA Numerical Modeling Systems: A Step Toward Bridging the Gap between Research and Operations 

    Source: Bulletin of the American Meteorological Society:;2016:;volume( 097 ):;issue: 012:;page 2359
    Author(s): Boukabara, Sid A.; Zhu, Tong; Tolman, Hendrik L.; Lord, Steve; Goodman, Steven; Atlas, Robert; Goldberg, Mitch; Auligne, Thomas; Pierce, Bradley; Cucurull, Lidia; Zupanski, Milija; Zhang, Man; Moradi, Isaac; Otkin, Jason; Santek, David; Hoover, Brett; Pu, Zhaoxia; Zhan, Xiwu; Hain, Christopher; Kalnay, Eugenia; Hotta, Daisuke; Nolin, Scott; Bayler, Eric; Mehra, Avichal; Casey, Sean P. F.; Lindsey, Daniel; Grasso, Louie; Kumar, V. Krishna; Powell, Alfred; Xu, Jianjun; Greenwald, Thomas; Zajic, Joe; Li, Jun; Li, Jinliong; Li, Bin; Liu, Jicheng; Fang, Li; Wang, Pei; Chen, Tse-Chun
    Publisher: American Meteorological Society
    Abstract: n 2011, the National Oceanic and Atmospheric Administration (NOAA) began a cooperative initiative with the academic community to help address a vexing issue that has long been known as a disconnection between the operational ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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