Improving multiple model ensemble predictions of daily precipitation and temperature through machine learning techniques

DM Jose, AM Vincent, GS Dwarakish - Scientific Reports, 2022 - nature.com
Abstract Multi-Model Ensembles (MMEs) are used for improving the performance of GCM
simulations. This study evaluates the performance of MMEs of precipitation, maximum …

Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms

K Ahmed, DA Sachindra, S Shahid, Z Iqbal… - Atmospheric …, 2020 - Elsevier
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 …

Selection of multi-model ensemble of general circulation models for the simulation of precipitation and maximum and minimum temperature based on spatial …

K Ahmed, DA Sachindra, S Shahid… - Hydrology and Earth …, 2019 - hess.copernicus.org
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 …

Projection of temperature and precipitation in the Mediterranean region through multi-model ensemble from CMIP6

M Seker, V Gumus - Atmospheric Research, 2022 - Elsevier
In this study, future projections of monthly total precipitation and monthly average
temperatures are carried out using 22 global circulation models (GCMs) from phase 6 of the …

Development of a European multimodel ensemble system for seasonal-to-interannual prediction (DEMETER)

TN Palmer, A Alessandri, U Andersen… - Bulletin of the …, 2004 - journals.ametsoc.org
A multi-model ensemble-based system for seasonal-to-interannual prediction has been
developed in a joint European project known as DEMETER (Development of a European …

The rationale behind the success of multi-model ensembles in seasonal forecasting—I. Basic concept

R Hagedorn, FJ Doblas-Reyes… - Tellus A: Dynamic …, 2005 - Taylor & Francis
The DEMETER multi-model ensemble system is used to investigate the rationale behind the
multi-model concept. A comprehensive documentation of the differences in the single and …

[PDF][PDF] Two-dimensional indices of atmospheric blocking and their statistical relationship with winter climate patterns in the Euro-Atlantic region

SC Scherrer, M Croci-Maspoli, C Schwierz… - International journal of …, 2006 - academia.edu
The statistical relationship between the leading climate patterns of mid-tropospheric flow
and atmospheric blocking over the Euro–Atlantic region during winter is investigated using …

The rationale behind the success of multi-model ensembles in seasonal forecasting—II. Calibration and combination

FJ Doblas-Reyes, R Hagedorn… - Tellus A: Dynamic …, 2005 - Taylor & Francis
The DEMETER multi-model ensemble system is used to investigate the enhancement in
seasonal predictability that can be achieved by calibrating single-model ensembles and …

Intercomparison of statistical and dynamical downscaling models under the EURO-and MED-CORDEX initiative framework: present climate evaluations

P Vaittinada Ayar, M Vrac, S Bastin, J Carreau… - Climate dynamics, 2016 - Springer
Given the coarse spatial resolution of General Circulation Models, finer scale projections of
variables affected by local-scale processes such as precipitation are often needed to drive …

[HTML][HTML] Improvement of the multimodel superensemble technique for seasonal forecasts

WT Yun, L Stefanova, TN Krishnamurti - Journal of Climate, 2003 - journals.ametsoc.org
Improvement of the Multimodel Superensemble Technique for Seasonal Forecasts in:
Journal of Climate Volume 16 Issue 22 (2003) Jump to Content Jump to Main Navigation …