Category Archives: Climate modelling

Clouds, climate and the Roaring 40s

By Richard Allan In our new research we have traced large and long-standing biases in computer simulations of climate, affecting the tempestuous Southern Ocean, to errors in cloud that emerge rapidly within the atmospheric models. Biases evolve over time through … Continue reading

Posted in Climate, Climate change, Climate modelling, Clouds, earth observation, Energy budget, Numerical modelling, Oceans, Solar radiation | Leave a comment

Why was the sky Orange?

By William Davies I was sitting in my house one morning in October 2017, engrossed in what I was doing. Gradually I noticed that an eerie darkness was smothering the natural light in the room. I stopped and looked outside. … Continue reading

Posted in Aerosols, Atmospheric chemistry, Atmospheric optics, Climate, Climate modelling, earth observation, Environmental hazards, Numerical modelling, Remote sensing, University of Reading | Leave a comment

Characteristics of cumulus population and microphysical properties observed over Southeast Atlantic

By Yann Blanchard Figure 1. Cumulus in the vicinity of Ascension Island, in a 100 x 100km image (which is close to global climate model spatial resolution) from MODIS onboard AQUA (22 July 2016) Shallow cumulus cover large areas in … Continue reading

Posted in Aerosols, Atlantic, Atmospheric chemistry, Climate modelling, earth observation, Numerical modelling, Oceans, Remote sensing, Solar radiation, University of Reading | Leave a comment

Exploring the impact of Gulf Stream temperature biases on the global atmospheric circulation

By Robert Lee The climate state in numerical models often have differences when compared to a climatology from observations. These differences are often termed ‘biases’ and can be considered as a kind of error or deficiency in the model. These … Continue reading

Posted in Climate, Climate modelling, Numerical modelling, Oceans, Waves | Leave a comment

What’s the secret of coarse dust?

By Claire Ryder Mineral dust aerosol particles are regularly lifted into the atmosphere in arid regions, such as deserts, and transported over thousands of kilometres by the wind, such as from the Sahara desert to the Caribbean Sea, as shown … Continue reading

Posted in Aerosols, Africa, Atmospheric chemistry, Climate modelling, earth observation, Remote sensing | Leave a comment

On the predictability of European summer weather patterns

By Albert Ossό Forecasts of summer weather patterns months in advance would be of great value for a wide range of applications. However, the current seasonal dynamic model forecasts for European summers have very little skill (Arribas et al. 2011). … Continue reading

Posted in Climate, Climate modelling, Seasonal forecasting | Leave a comment

Climate change in the Mediterranean Sea

By Fanny Adloff The Mediterranean is the largest semi-enclosed sea on our planet. Acting as a miniature ocean, this basin is appropriate to study climate change impact on the ocean. The residence time of the Mediterranean waters – of about … Continue reading

Posted in Climate change, Climate modelling, Environmental hazards, Oceans | Leave a comment

Estimating the risks of climate change: what are the effects of climate policy?

By Nigel Arnell I am writing this from Beijing, where the 13th National People’s Congress has just reaffirmed the Chinese commitment to control future emissions of greenhouse gases and meet the aspirations of the Paris Agreement on Climate Change. This … Continue reading

Posted in Climate, Climate change, Climate modelling, Conferences, drought, Environmental hazards, Greenhouse gases | Leave a comment

Improving estimates of soil moisture over Ghana

By Ewan Pinnington This work aims to improve estimates of soil moisture over Ghana as part of the ERADACS project. In regions where the population relies on subsistence farming it is soil moisture, rather than precipitation per se, that is … Continue reading

Posted in Africa, Climate, Climate modelling, data assimilation, Hydrology, land use, Numerical modelling | Tagged | Leave a comment

A simple way to find out where the moisture for regional rainfall comes from

by Liang Guo Moisture tracing is an interesting scientific topic that has fascinated meteorologists and hydrologists for decades. Methods for tracing moisture are numerous, from observations to numerical modelling, from water isotopes to remote sensing, from online tracking to off-line … Continue reading

Posted in China, Climate, Climate modelling, Hydrology | Leave a comment