This review provides a summary of work in the area of ensemble forecasts for weather,
climate, oceans, and hurricanes. This includes a combination of multiple forecast model …

Choosing an appropriate method for combining single-value forecasts should depend on
characteristics of the individual forecasts being combined and their relationships with each …

There has been huge recent interest in the potential of making operational weather forecasts
using machine learning techniques. As they become a part of the weather forecasting …

Abstract Within the Atmospheric Dynamics Mission Aeolus (ADM‐Aeolus), the European
Space Agency (ESA) has approved a Doppler wind lidar (DWL) to fly on a dedicated …

Based on the ensemble mean outputs of the ensemble forecasts from the ECMWF
(European Centre for Medium-Range Weather Forecasts), JMA (Japan Meteorological …

In this paper, a multi-model ensemble approach with statistical correction for seasonal
precipitation forecasts using a coupled DEMETER model data set is presented. Despite the …

Patterns, Impacts, and Future Projections of Summer Variability in the Arctic from CMIP5 Models
in: Journal of Climate Volume 31 Issue 24 (2018) Jump to Content Logo Logo Logo Logo Logo …

This book presents a current review of the science of monsoon research and forecasting.
The contents are based on the invited reviews presented at the World Meteorological …

Using currently available operational forecast datasets on the tracks and intensities of
tropical cyclones over the Pacific Ocean for the years 1998, 1999, and 2000 a multimodel …

It is being increasingly recognized that the uncertainty in weather forecasts should be
quantified and furnished to users along with the single-value forecasts usually provided …