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    Parameter Estimation Using Ensemble-Based Data Assimilation in the Presence of Model Error 

    Source: Monthly Weather Review:;2014:;volume( 143 ):;issue: 005:;page 1568
    Author(s): Ruiz, Juan; Pulido, Manuel
    Publisher: American Meteorological Society
    Abstract: his work explores the potential of online parameter estimation as a technique for model error treatment under an imperfect model scenario, in an ensemble-based data assimilation system, using a simple atmospheric general ...
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    Synergism between the Low-Level Jet and Organized Convection at Its Exit Region 

    Source: Monthly Weather Review:;2007:;volume( 135 ):;issue: 004:;page 1310
    Author(s): Saulo, Celeste; Ruiz, Juan; Skabar, Yanina García
    Publisher: American Meteorological Society
    Abstract: Previous studies suggest that the enhanced meridional extent of some South American low-level jet events (known as Chaco jets) is a consequence of a positive feedback between the low-level wind and strong convection that ...
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    Comparison of Methods Used to Generate Probabilistic Quantitative Precipitation Forecasts over South America 

    Source: Weather and Forecasting:;2009:;volume( 024 ):;issue: 001:;page 319
    Author(s): Ruiz, Juan; Saulo, Celeste; Kalnay, Eugenia
    Publisher: American Meteorological Society
    Abstract: In this work, the quality of several probabilistic quantitative precipitation forecasts (PQPFs) is examined. The analysis is focused over South America during a 2-month period in the warm season. Several ways of generating ...
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    Parameter Sensitivity of the WRF–LETKF System for Assimilation of Radar Observations: Imperfect-Model Observing System Simulation Experiments 

    Source: Weather and Forecasting:;2020:;volume( 035 ):;issue: 004:;page 1345
    Author(s): Maldonado, Paula;Ruiz, Juan;Saulo, Celeste
    Publisher: American Meteorological Society
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    WRF Model Sensitivity to Choice of Parameterization over South America: Validation against Surface Variables 

    Source: Monthly Weather Review:;2010:;volume( 138 ):;issue: 008:;page 3342
    Author(s): Ruiz, Juan J.; Saulo, Celeste; Nogués-Paegle, Julia
    Publisher: American Meteorological Society
    Abstract: The Weather and Research Forecast model is tested over South America in different configurations to identify the one that gives the best estimates of observed surface variables. Systematic, nonsystematic, and total errors ...
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    Land–Atmosphere Interactions during a Northwestern Argentina Low Event 

    Source: Monthly Weather Review:;2010:;volume( 138 ):;issue: 007:;page 2481
    Author(s): Saulo, Celeste; Ferreira, Lorena; Nogués-Paegle, Julia; Seluchi, Marcelo; Ruiz, Juan
    Publisher: American Meteorological Society
    Abstract: The impact of changes in soil moisture in subtropical Argentina in rainfall distribution and low-level circulation is studied with a state-of-the-art regional model in a downscaling mode, with different scenarios of soil ...
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    Precipitation Nowcasting with Three-Dimensional Space–Time Extrapolation of Dense and Frequent Phased-Array Weather Radar Observations 

    Source: Weather and Forecasting:;2015:;volume( 031 ):;issue: 001:;page 329
    Author(s): Otsuka, Shigenori; Tuerhong, Gulanbaier; Kikuchi, Ryota; Kitano, Yoshikazu; Taniguchi, Yusuke; Ruiz, Juan Jose; Satoh, Shinsuke; Ushio, Tomoo; Miyoshi, Takemasa
    Publisher: American Meteorological Society
    Abstract: he phased-array weather radar (PAWR) is a new-generation weather radar that can make a 100-m-resolution three-dimensional (3D) volume scan every 30 s for 100 vertical levels, producing ~100 times more data than the ...
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    “Big Data Assimilation” Revolutionizing Severe Weather Prediction 

    Source: Bulletin of the American Meteorological Society:;2016:;volume( 097 ):;issue: 008:;page 1347
    Author(s): Miyoshi, Takemasa; Kunii, Masaru; Ruiz, Juan; Lien, Guo-Yuan; Satoh, Shinsuke; Ushio, Tomoo; Bessho, Kotaro; Seko, Hiromu; Tomita, Hirofumi; Ishikawa, Yutaka
    Publisher: American Meteorological Society
    Abstract: udden local severe weather is a threat, and we explore what the highest-end supercomputing and sensing technologies can do to address this challenge. Here we show that using the Japanese flagship ?K? supercomputer, we can ...
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    Application of the WRF-LETKF Data Assimilation System over Southern South America: Sensitivity to Model Physics 

    Source: Weather and Forecasting:;2015:;volume( 031 ):;issue: 001:;page 217
    Author(s): Dillon, María E.; Skabar, Yanina García; Ruiz, Juan; Kalnay, Eugenia; Collini, Estela A.; Echevarría, Pablo; Saucedo, Marcos; Miyoshi, Takemasa; Kunii, Masaru
    Publisher: American Meteorological Society
    Abstract: mproving the initial conditions of short-range numerical weather prediction (NWP) models is one of the main goals of the meteorological community. Development of data assimilation and ensemble forecast systems is essential ...
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    DSpace software copyright © 2002-2015  DuraSpace
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