The use of the multi-model ensemble in probabilistic climate projections
Recent coordinated efforts, in which numerous climate models have been run for a common
set of experiments, have produced large datasets of projections of future climate for various …
set of experiments, have produced large datasets of projections of future climate for various …
Developing, testing, and communicating earthquake forecasts: Current practices and future directions
L Mizrahi, I Dallo, NJ van der Elst… - Reviews of …, 2024 - Wiley Online Library
While deterministically predicting the time and location of earthquakes remains impossible,
earthquake forecasting models can provide estimates of the probabilities of earthquakes …
earthquake forecasting models can provide estimates of the probabilities of earthquakes …
Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms
Abstract Multi-Model Ensembles (MMEs) are often employed to reduce the uncertainties
related to GCM simulations/projections. The objective of this study was to evaluate the …
related to GCM simulations/projections. The objective of this study was to evaluate the …
[HTML][HTML] The North American multimodel ensemble: phase-1 seasonal-to-interannual prediction; phase-2 toward developing intraseasonal prediction
BP Kirtman, D Min, JM Infanti, JL Kinter… - Bulletin of the …, 2014 - journals.ametsoc.org
Berner, J., FJ Doblas-Reyes, TN Palmer, G. Shutts, and A. Weisheimer, 2008: Impact of a
quasi-stochastic cellular automaton backscatter scheme on the systematic error and …
quasi-stochastic cellular automaton backscatter scheme on the systematic error and …
Selection of multi-model ensemble of general circulation models for the simulation of precipitation and maximum and minimum temperature based on spatial …
The climate modelling community has trialled a large number of metrics for evaluating the
temporal performance of general circulation models (GCMs), while very little attention has …
temporal performance of general circulation models (GCMs), while very little attention has …
Generating ensemble streamflow forecasts: A review of methods and approaches over the past 40 years
Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …
research embracing a broad spectrum of operational situations. This work catalogs the …
[HTML][HTML] The Subseasonal Experiment (SubX): A multimodel subseasonal prediction experiment
The Subseasonal Experiment (SubX): A Multimodel Subseasonal Prediction Experiment in:
Bulletin of the American Meteorological Society Volume 100 Issue 10 (2019) Jump to …
Bulletin of the American Meteorological Society Volume 100 Issue 10 (2019) Jump to …
[HTML][HTML] Calibrated probabilistic forecasting using ensemble model output statistics and minimum CRPS estimation
Calibrated Probabilistic Forecasting Using Ensemble Model Output Statistics and Minimum
CRPS Estimation in: Monthly Weather Review Volume 133 Issue 5 (2005) Jump to Content …
CRPS Estimation in: Monthly Weather Review Volume 133 Issue 5 (2005) Jump to Content …
Modeling causes of death: an integrated approach using CODEm
Background Data on causes of death by age and sex are a critical input into health decision-
making. Priority setting in public health should be informed not only by the current …
making. Priority setting in public health should be informed not only by the current …
Environmental impacts of reflective materials: Is high albedo a 'silver bullet'for mitigating urban heat island?
Studies on urban heat island (UHI) have been more than a century after the phenomenon
was first discovered in the early 1800s. UHI emerges as the source of many urban …
was first discovered in the early 1800s. UHI emerges as the source of many urban …