Category Archives: data assimilation

The Devil Is In The Details, Even Below Zero

Posted on 7 November, 2022 by danaallen

By: Ivo Pasmans  An anniversary is coming up in the family and I had decided to create a digital photo collage. In the process I was scanning a youth photo and noticed that the scan looked a lot less refined … Continue reading →

Posted in Arctic, Cryosphere, data assimilation, Numerical modelling | Leave a comment

Forecasting Rapid Intensification In Hurricanes And Typhoons.

Posted on 20 June, 2022 by danaallen

By: Peter Jan Leeuwen We all know the devastating power of hurricanes, typhoons, and their Southern Hemisphere counterparts. It is crucial that we predict their behaviour accurately to avoid loss of life and to better guide large-scale infrastructure operations. Although … Continue reading →

Posted in Climate, data assimilation, Predictability, Tropical cyclones | Leave a comment

Data assimilation under dramatic growth of observational data and rapid advances in computer performance

Posted on 6 September, 2021 by danaallen

By: Guannan Hu The importance of data assimilation Data assimilation (DA) is a technique used to produce initial conditions for numerical weather prediction (NWP). In NWP, computer models describing the evolution of the atmosphere are used to predict future weather … Continue reading →

Posted in Climate, data assimilation | Leave a comment

Can You Guess The Ingredients Of A Cake?

Posted on 7 June, 2021 by danaallen

By: Amos Lawless “Mmm this cake is lovely, what’s in it?” “Try to guess!” How often have we had that response from a friend or colleague who is proud of the cake they have just baked? And we usually try … Continue reading →

Posted in data assimilation, earth observation, Teaching & Learning | Leave a comment

Data Assimilation Improves Space Weather Forecasting Skill

Posted on 31 May, 2021 by danaallen

By: Matthew Lang Over the past few years, I have been working on using data assimilation methodologies that are prevalent in meteorology to improve forecasts of space weather events (Lang et al. 2017; Lang and Owens 2019). Data assimilation does … Continue reading →

Posted in Climate, data assimilation, Weather forecasting | Tagged | 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

Covid-19: Using tools from geophysics to assess, monitor and predict a pandemic

Posted on 22 June, 2020 by danaallen

By: Alison Fowler, Alberto Carrassi, Javier Amezcua The emergence of a new coronavirus disease, known as Covid-19, that could be transmitted between people was identified in China in December 2019. By 3rd March 2020 it had spread to every continent … Continue reading →

Posted in Climate, data assimilation, Numerical modelling | Leave a comment

Building a predictive framework for studying causality in complex systems

Posted on 24 February, 2020 by danaallen

By: Nachiketa Chakraborty I’m Nachiketa Chakraborty, a postdoctoral researcher working on the ERC project CUNDA (Causality under Non-linear Data Assimilation) led by Peter Jan van Leeuwen. My central goal is to come up with a Bayesian framework for studying causal … Continue reading →

Posted in Climate, data assimilation, Oceans | Leave a comment

Don’t (always) blame the weather forecaster

Posted on 28 October, 2019 by danaallen

By: Ross Bannister There are (I am sure) numerous metaphors that suggest that a small, almost immeasurable event, can have a catastrophic outcome – that adding the proverbial straw to the load of the camel will break its back. In 1972, … Continue reading →

Posted in Climate, Climate modelling, data assimilation, Numerical modelling, Predictability | Leave a comment

Probing the atmosphere with sound waves

Posted on 30 September, 2019 by danaallen

By: Javier Amezcua Summer is a quiet time for both the University of Reading and the town itself. The buzzing that fills campus during term time is gone, the population decreases and activities are reduced. Some people find it relaxing … Continue reading →

Posted in Climate, data assimilation, Stratosphere, Wind | Leave a comment