Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources

S Salcedo-Sanz, P Ghamisi, M Piles, M Werner… - Information …, 2020 - Elsevier
This paper reviews the most important information fusion data-driven algorithms based on
Machine Learning (ML) techniques for problems in Earth observation. Nowadays we …

All‐sky satellite data assimilation at operational weather forecasting centres

AJ Geer, K Lonitz, P Weston… - Quarterly Journal of …, 2018 - Wiley Online Library
This article reviews developments towards assimilating cloud‐and precipitation‐affected
satellite radiances at operational forecasting centres. Satellite data assimilation is moving …

[HTML][HTML] Configuration and spin-up of ACCESS-CM2, the new generation Australian community climate and earth system simulator coupled model

D Bi, M Dix, S Marsland, S O'farrell… - Journal of Southern …, 2020 - CSIRO Publishing
A new version of the Australian Community Climate and Earth System Simulator coupled
model, ACCESS-CM2, has been developed for a wide range of climate modelling research …

The Met Office global coupled model 3.0 and 3.1 (GC3. 0 and GC3. 1) configurations

KD Williams, D Copsey, EW Blockley… - Journal of Advances …, 2018 - Wiley Online Library
Abstract The Global Coupled 3 (GC3) configuration of the Met Office Unified Model is
presented. Among other applications, GC3 is the basis of the United Kingdom's submission …

Increase in severe and extreme soil moisture droughts for Europe under climate change

MG Grillakis - Science of the Total Environment, 2019 - Elsevier
Droughts are among the costliest natural disasters. They affect wide regions and large
numbers of people worldwide by tampering with water availability and agricultural …

[HTML][HTML] The first multi-model ensemble of regional climate simulations at kilometer-scale resolution, part I: evaluation of precipitation

N Ban, C Caillaud, E Coppola, E Pichelli… - Climate Dynamics, 2021 - Springer
Here we present the first multi-model ensemble of regional climate simulations at kilometer-
scale horizontal grid spacing over a decade long period. A total of 23 simulations run with a …

[HTML][HTML] The Met Office Unified Model global atmosphere 7.0/7.1 and JULES global land 7.0 configurations

D Walters, AJ Baran, I Boutle, M Brooks… - Geoscientific Model …, 2019 - gmd.copernicus.org
We describe Global Atmosphere 7.0 and Global Land 7.0 (GA7. 0/GL7. 0), the latest science
configurations of the Met Office Unified Model (UM) and the Joint UK Land Environment …

[HTML][HTML] Enhanced future changes in wet and dry extremes over Africa at convection-permitting scale

EJ Kendon, RA Stratton, S Tucker, JH Marsham… - Nature …, 2019 - nature.com
African society is particularly vulnerable to climate change. The representation of convection
in climate models has so far restricted our ability to accurately simulate African weather …

Strong control of Southern Ocean cloud reflectivity by ice-nucleating particles

J Vergara-Temprado, AK Miltenberger… - Proceedings of the …, 2018 - National Acad Sciences
Large biases in climate model simulations of cloud radiative properties over the Southern
Ocean cause large errors in modeled sea surface temperatures, atmospheric circulation …

[HTML][HTML] Strong cloud–circulation coupling explains weak trade cumulus feedback

R Vogel, AL Albright, J Vial, G George, B Stevens… - Nature, 2022 - nature.com
Shallow cumulus clouds in the trade-wind regions cool the planet by reflecting solar
radiation. The response of trade cumulus clouds to climate change is a key uncertainty in …