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Approaches to advance scientific understanding of macrosystems ecology
The emergence of macrosystems ecology (MSE), which focuses on regional‐to continental‐
scale ecological patterns and processes, builds upon a history of long‐term and broad …
scale ecological patterns and processes, builds upon a history of long‐term and broad …
A short-term solar radiation forecasting system for the Iberian Peninsula. Part 2: Model blending approaches based on machine learning
In this article we explore the blending of the four models (Satellite, WRF-Solar, Smart
Persistence and CIADCast) studied in Part 1 by means of Support Vector Machines with the …
Persistence and CIADCast) studied in Part 1 by means of Support Vector Machines with the …
Using proper divergence functions to evaluate climate models
It has been argued persuasively that, in order to evaluate climate models, the probability
distributions of model output need to be compared to the corresponding empirical …
distributions of model output need to be compared to the corresponding empirical …
[HTML][HTML] From research to applications–examples of operational ensemble post-processing in France using machine learning
M Taillardat, O Mestre - Nonlinear Processes in Geophysics, 2020 - npg.copernicus.org
Statistical post-processing of ensemble forecasts, from simple linear regressions to more
sophisticated techniques, is now a well-known procedure for correcting biased and poorly …
sophisticated techniques, is now a well-known procedure for correcting biased and poorly …
Bayesian spatial-temporal modeling of ecological zero-inflated count data
A Bayesian hierarchical model is developed for count data with spatial and temporal
correlations as well as excessive zeros, uneven sampling intensities, and inference on …
correlations as well as excessive zeros, uneven sampling intensities, and inference on …
Probabilistic postprocessing models for flow forecasts for a system of catchments and several lead times
This paper introduces a methodology for the construction of probabilistic inflow forecasts for
multiple catchments and lead times. A postprocessing approach is used, and a Gaussian …
multiple catchments and lead times. A postprocessing approach is used, and a Gaussian …
Temperatures in transient climates: Improved methods for simulations with evolving temporal covariances
Details on inference and computation, and additional figures. Additional details on
estimating the mean changes in temperatures used in model (6) and the simulation (4); …
estimating the mean changes in temperatures used in model (6) and the simulation (4); …
Bayesian hierarchical ANOVA of regional climate-change projections from NARCCAP Phase II
We consider current (1971–2000) and future (2041–2070) average seasonal surface
temperature fields from two regional climate models (RCMs) driven by the same atmosphere …
temperature fields from two regional climate models (RCMs) driven by the same atmosphere …
A Bayesian hierarchical model for heterogeneous RCM–GCM multimodel ensembles
A Bayesian hierarchical model for heterogeneous multimodel ensembles of global and
regional climate models is presented. By applying the methodology herein to regional and …
regional climate models is presented. By applying the methodology herein to regional and …
Spatio-temporal assimilation of modelled catchment loads with monitoring data in the Great Barrier Reef
Supplement to “Spatio-temporal assimilation of modelled catchment loads with monitoring
data in the Great Barrier Reef”. The supplementary material contains additional information …
data in the Great Barrier Reef”. The supplementary material contains additional information …