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Using the SAL Technique for Spatial Verification of Cloud Processes: A Sensitivity Analysis
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 ...
Statistical Inference in Canonical Correlation Analyses Exemplified by the Influence of North Atlantic SST on European Climate
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. ...
A Probabilistic Forecast Approach for Daily Precipitation Totals
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 ...
Multivariate—Intervariable, Spatial, and Temporal—Bias Correction
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 ...
Generating and Calibrating Probabilistic Quantitative Precipitation Forecasts from the High-Resolution NWP Model COSMO-DE
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 ...
Tropical Pacific Decadal Variability and Its Relation to Decadal Modulations of ENSO
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 ...
A Matérn-Based Multivariate Gaussian Random Process for a Consistent Model of the Horizontal Wind Components and Related Variables
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 ...
Gamma Drop Size Distribution Assumptions in Bulk Model Parameterizations and Radar Polarimetry and Their Impact on Polarimetric Radar Moments
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 ...
Stochastic Parameterization: Toward a New View of Weather and Climate Models
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 ...