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    Using the SAL Technique for Spatial Verification of Cloud Processes: A Sensitivity Analysis 

    Source: Journal of Applied Meteorology and Climatology:;2016:;volume( 055 ):;issue: 009:;page 2091
    Author(s): Weniger, Michael; Friederichs, Petra
    Publisher: American Meteorological Society
    Abstract: he feature-based spatial verification method named for its three score components: structure, amplitude, and location (SAL) is applied to cloud data, that is, two-dimensional spatial fields of total cloud cover and spectral ...
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    Statistical Inference in Canonical Correlation Analyses Exemplified by the Influence of North Atlantic SST on European Climate 

    Source: Journal of Climate:;2003:;volume( 016 ):;issue: 003:;page 522
    Author(s): Friederichs, Petra; Hense, Andreas
    Publisher: American Meteorological Society
    Abstract: To encourage the use of the standard parametric test procedures in canonical correlation analysis, the tests are applied to investigate the influence of northern Atlantic SST on the Euro?Atlantic atmospheric circulation. ...
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    A Probabilistic Forecast Approach for Daily Precipitation Totals 

    Source: Weather and Forecasting:;2008:;volume( 023 ):;issue: 004:;page 659
    Author(s): Friederichs, Petra; Hense, Andreas
    Publisher: American Meteorological Society
    Abstract: Commonly, postprocessing techniques are employed to calibrate a model forecast. Here, a probabilistic postprocessor is presented that provides calibrated probability and quantile forecasts of precipitation on the local ...
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    Multivariate—Intervariable, Spatial, and Temporal—Bias Correction 

    Source: Journal of Climate:;2014:;volume( 028 ):;issue: 001:;page 218
    Author(s): Vrac, Mathieu; Friederichs, Petra
    Publisher: American Meteorological Society
    Abstract: tatistical methods to bias correct global or regional climate model output are now common to get data closer to observations in distribution. However, most bias correction (BC) methods work for one variable and one location ...
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    Generating and Calibrating Probabilistic Quantitative Precipitation Forecasts from the High-Resolution NWP Model COSMO-DE 

    Source: Weather and Forecasting:;2012:;volume( 027 ):;issue: 004:;page 988
    Author(s): Bentzien, Sabrina; Friederichs, Petra
    Publisher: American Meteorological Society
    Abstract: tatistical postprocessing is an integral part of an ensemble prediction system. This study compares methods used to derive probabilistic quantitative precipitation forecasts based on the high-resolution version of the ...
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    Tropical Pacific Decadal Variability and Its Relation to Decadal Modulations of ENSO 

    Source: Journal of Climate:;2004:;volume( 017 ):;issue: 019:;page 3761
    Author(s): Rodgers, Keith B.; Friederichs, Petra; Latif, Mojib
    Publisher: American Meteorological Society
    Abstract: A 1000-yr integration of a coupled ocean?atmosphere model (ECHO-G) has been analyzed to describe decadal to multidecadal variability in equatorial Pacific sea surface temperature (SST) and thermocline depth (Z20), and their ...
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    A Matérn-Based Multivariate Gaussian Random Process for a Consistent Model of the Horizontal Wind Components and Related Variables 

    Source: Journal of the Atmospheric Sciences:;2017:;Volume( 074 ):;issue: 011:;page 3833
    Author(s): Hewer, Rüdiger;Friederichs, Petra;Hense, Andreas;Schlather, Martin
    Publisher: American Meteorological Society
    Abstract: AbstractThe integration of physical relationships into stochastic models is of major interest, for example, in data assimilation. Here, a multivariate Gaussian random field formulation is introduced that represents the ...
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    Gamma Drop Size Distribution Assumptions in Bulk Model Parameterizations and Radar Polarimetry and Their Impact on Polarimetric Radar Moments 

    Source: Journal of Applied Meteorology and Climatology:;2019:;volume 058:;issue 003:;page 467
    Author(s): Schinagl, Katharina; Friederichs, Petra; Trömel, Silke; Simmer, Clemens
    Publisher: American Meteorological Society
    Abstract: A suitable formulation of the rain drop size distribution (DSD) is a prerequisite for a successful assimilation of radar polarimetric information on rain into a numerical weather prediction model. Popular DSD parameterizations ...
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    Stochastic Parameterization: Toward a New View of Weather and Climate Models 

    Source: Bulletin of the American Meteorological Society:;2016:;volume( 098 ):;issue: 003:;page 565
    Author(s): Berner, Judith; Achatz, Ulrich; Batté, Lauriane; Bengtsson, Lisa; Cámara, Alvaro de la; Christensen, Hannah M.; Colangeli, Matteo; Coleman, Danielle R. B.; Crommelin, Daan; Dolaptchiev, Stamen I.; Franzke, Christian L. E.; Friederichs, Petra; Imkeller, Peter; Järvinen, Heikki; Juricke, Stephan; Kitsios, Vassili; Lott, François; Lucarini, Valerio; Mahajan, Salil; Palmer, Timothy N.; Penland, Cécile; Sakradzija, Mirjana; von Storch, Jin-Song; Weisheimer, Antje; Weniger, Michael; Williams, Paul D.; Yano, Jun-Ichi
    Publisher: American Meteorological Society
    Abstract: he last decade has seen the success of stochastic parameterizations in short-term, medium-range, and seasonal forecasts: operational weather centers now routinely use stochastic parameterization schemes to represent model ...
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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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