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Probabilistic Multisite Precipitation Downscaling by an Expanded Bernoulli–Gamma Density Network
Publisher: American Meteorological Society
Abstract: A nonlinear, probabilistic synoptic downscaling algorithm for daily precipitation series at multiple sites is presented. The expanded Bernoulli?gamma density network (EBDN) represents the conditional density of multisite ...
Nonlinear Principal Predictor Analysis: Application to the Lorenz System
Publisher: American Meteorological Society
Abstract: Principal predictor analysis is a multivariate linear technique that fits between regression and canonical correlation analysis in terms of the complexity of its architecture. This study introduces a new neural network ...
CORRIGENDUM
Publisher: American Meteorological Society
Selecting GCM Scenarios that Span the Range of Changes in a Multimodel Ensemble: Application to CMIP5 Climate Extremes Indices
Publisher: American Meteorological Society
Abstract: ogistical constraints can limit the number of global climate model (GCM) simulations considered in a climate change impact assessment. When dealing with annual or seasonal variables, one can visualize and manually select ...
Multivariate Bias Correction of Climate Model Output: Matching Marginal Distributions and Intervariable Dependence Structure
Publisher: American Meteorological Society
Abstract: nivariate bias correction algorithms, such as quantile mapping, are used to address systematic biases in climate model output. Intervariable dependence structure (e.g., between different quantities like temperature and ...
Regression-Guided Clustering: A Semisupervised Method for Circulation-to-Environment Synoptic Classification
Publisher: American Meteorological Society
Abstract: egression-guided clustering is introduced as a means of constructing circulation-to-environment synoptic climatological classifications. Rather than applying an unsupervised clustering algorithm to synoptic-scale atmospheric ...
A Dynamical Climate Model–Driven Hydrologic Prediction System for the Fraser River, Canada
Publisher: American Meteorological Society
Abstract: ecent improvements in forecast skill of the climate system by dynamical climate models could lead to improvements in seasonal streamflow predictions. This study evaluates the hydrologic prediction skill of a dynamical ...
Synoptic Map-Pattern Classification Using Recursive Partitioning and Principal Component Analysis
Publisher: American Meteorological Society
Abstract: A method for classifying synoptic-scale maps into discrete groups is introduced. Tree-based recursive partitioning models are used to develop mappings between synoptic-scale circulation fields and the leading linear and ...
Seasonal Modulations of the Active MJO Cycle Characterized by Nonlinear Principal Component Analysis
Publisher: American Meteorological Society
Abstract: novel methodology is presented for the identification of the mean cycle of the Madden?Julian oscillation (MJO) along the equator. The methodology is based on a nonlinear principal component (NLPC) computed with a neural ...
Bias Correction of GCM Precipitation by Quantile Mapping: How Well Do Methods Preserve Changes in Quantiles and Extremes?
Publisher: American Meteorological Society
Abstract: uantile mapping bias correction algorithms are commonly used to correct systematic distributional biases in precipitation outputs from climate models. Although they are effective at removing historical biases relative to ...