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    Comparisons of the Millimeter and Submillimeter Bands for Atmospheric Temperature and Water Vapor Soundings for Clear and Cloudy Skies 

    Source: Journal of Applied Meteorology and Climatology:;2006:;volume( 045 ):;issue: 012:;page 1622
    Author(s): Prigent, Catherine; Pardo, Juan R.; Rossow, William B.
    Publisher: American Meteorological Society
    Abstract: Geostationary satellites provide revisiting times that are desirable for nowcasting and observations of severe weather. To overcome the problem of spatial resolution from a geostationary orbit, millimeter to submillimeter ...
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    Radiative Transfer Simulations Using Mesoscale Cloud Model Outputs: Comparisons with Passive Microwave and Infrared Satellite Observations for Midlatitudes 

    Source: Journal of the Atmospheric Sciences:;2007:;Volume( 064 ):;issue: 005:;page 1550
    Author(s): Meirold-Mautner, Ingo; Prigent, Catherine; Defer, Eric; Pardo, Juan R.; Chaboureau, Jean-Pierre; Pinty, Jean-Pierre; Mech, Mario; Crewell, Susanne
    Publisher: American Meteorological Society
    Abstract: Real midlatitude meteorological cases are simulated over western Europe with the cloud mesoscale model Méso-NH, and the outputs are used to calculate brightness temperatures at microwave frequencies with the Atmospheric ...
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    A Midlatitude Precipitating Cloud Database Validated with Satellite Observations 

    Source: Journal of Applied Meteorology and Climatology:;2008:;volume( 047 ):;issue: 005:;page 1337
    Author(s): Chaboureau, Jean-Pierre; Söhne, Nathalie; Pinty, Jean-Pierre; Meirold-Mautner, Ingo; Defer, Eric; Prigent, Catherine; Pardo, Juan R.; Mech, Mario; Crewell, Susanne
    Publisher: American Meteorological Society
    Abstract: The simulations of five midlatitude precipitating events by the nonhydrostatic mesoscale model Méso-NH are analyzed. These cases cover contrasted precipitation situations from 30° to 60°N, which are typical of midlatitudes. ...
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    Atmospheric Gas Absorption Knowledge in the Submillimeter: Modeling, Field Measurements, and Uncertainty Quantification 

    Source: Bulletin of the American Meteorological Society:;2020:;volume( 100 ):;issue: 012:;page ES291
    Author(s): Mattioli, Vinia;Accadia, Christophe;Prigent, Catherine;Crewell, Susanne;Geer, Alan;Eriksson, Patrick;Fox, Stuart;Pardo, Juan R.;Mlawer, Eli J.;Cadeddu, Maria;Bremer, Michael;De Breuck, Carlos;Smette, Alain;Cimini, Domenico;Turner, Emma;Mech, Mario;Marzano, Frank S.;Brunel, Pascal;Vidot, Jerome;Bennartz, Ralf;Wehr, Tobias;Di Michele, Sabatino;John, Viju O.
    Publisher: American Meteorological Society
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