Author Archives: danaallen

What Did You Get For Number 9?

Posted on 17 May, 2021 by danaallen

By: Todd Jones A common way to check your work in school is to turn to your neighbour and ask, “What did you get for this one?”  With a little extra effort, though, students end up having productive discussions and … Continue reading →

Posted in Climate, Convection | Leave a comment

April Flowers – A story of bluebells and frosts

Posted on 10 May, 2021 by danaallen

By: Pete Inness Figure 1: Bluebells in a wood near Reading on the 16th of April 2020 (left) and the same date in 2021 (right). In 2021 the flowers are yet to emerge and there are no leaves on the … Continue reading →

Posted in Climate, Phenology | Leave a comment

Some thoughts on future energy supply, such as an “Instantaneous Energy Market”

Posted on 3 May, 2021 by danaallen

By: Peter Cook We all know that it’s time to stop using fossil fuels, due to the greenhouse gasses emitted and the finite amount of these fuels.  Many renewable sources of energy are now being adopted but a lot of … Continue reading →

Posted in Climate, Energy meteorology | Leave a comment

TerraMaris: Plans, Progress And Setbacks Of Atmospheric Research In Indonesia

Posted on 26 April, 2021 by danaallen

By: Emma Howard  To some of us weather enthusiasts, there’s nothing more exciting than a good tropical thunderstorm. For the best storms, you need a good source of humid air from a warm ocean and a hot land surface. If … Continue reading →

Posted in Atmospheric circulation, Climate, Convection, Thunder Storms, Tropical convection | Tagged | Leave a comment

Pacific and Atlantic Conversations

Posted on 19 April, 2021 by danaallen

By: Daniel Hodson The Earth is a world of water – oceans spread out across much of the planet and they exert a profound influence over the climate. Ascending from the Earth, the churning waves and surf shrink away and … Continue reading →

Posted in Climate | Leave a comment

Satellite data used to provide life-saving weather forecasts in tropical Africa

Posted on 22 March, 2021 by danaallen

By: Peter Hill Much of the population of tropical Africa are vulnerable to severe weather, often caused by intense storms that can generate heavy rainfall, strong winds and flooding. For instance, thousands of fishermen drown each year in Lake Victoria … Continue reading →

Posted in Climate, Remote sensing | Tagged , | Leave a comment

Flood forecasting for the Negro River in the Amazon Basin

Posted on 15 March, 2021 by danaallen

By: Amulya Chevuturi Figure 1: Photograph of the Negro River and the Amazon rainforest. The Amazon is the largest river basin in the world, with large free-flowing rivers, draining about one-sixth of global freshwater to the ocean. The Amazonian floodplains have … Continue reading →

Posted in Amazon, Climate, Flooding | Leave a comment

Can We Use Artificial Intelligence To Improve Numerical Models Of The Climate?

Posted on 8 March, 2021 by danaallen

By: Alberto Carrassi Numerical models of the climate are made of many mathematical equations that describe our knowledge of the physical laws governing the atmosphere, the ocean, the sea-ice etc. These equations are solved using computers that “see” the Earth … Continue reading →

Posted in data assimilation, Machine Learning | Leave a comment

Putting a 120-Year-Old Barograph To The Test

Posted on 1 March, 2021 by danaallen

By: Kieran Hunt Cast your mind back to 1900. The World’s Fair. Great Britain has just won 48 medals at the Summer Olympics including a clean sweep in the steeplechase. Queen Victoria’s reign continues through an unprecedented 63rd year. British … Continue reading →

Posted in Climate, History of Science, Measurements and instrumentation | Leave a comment

Using deep learning to observe river levels using river cameras

Posted on 15 February, 2021 by danaallen

By: Sarah Dance In recent times, machine learning is being increasingly used to make sense of digital data. In environmental science, we are only at the beginning of this journey (Blair et al 2021). However, we have already found one … Continue reading →

Posted in Climate, Flooding, Machine Learning | Leave a comment