Harriet Turner

Applying solar wind data assimilation to the WSA coronal model.

2025-03-30T00:00:00+00:00

I wrote a blog post for the University of Reading’s Departmental of Meteorology blog.

I was approached to write a post for the departments page, which highlights the latest news and research within the department. The post can be found here.

Solar storm forecasts.

2024-06-12T00:00:00+00:00

I wrote a short article for the University of Reading’s Doctoral Research Highlights 2023 publication, following on from the successful press release about my 2023 paper.

I was approached to write an article for the publication, which is put together every year to highlight important and interesting research that occurs across the university. The publication can be found here.

Space missions set to improve solar storm forecasts.

2023-05-18T00:00:00+00:00

This post was a press release about my 2023 paper, discussing how the ESA Vigil mission to L5 could improve solar wind forecasting through the use of data assimilation.

This article was then picked up by over 150 news outlets. The full article can be found here.

European Space Weather Week and exploring Zagreb.

2022-11-11T00:00:00+00:00

This is a departmental blog post detailing my trip to European Space Weather Week (ESWW) in Zagreb, Croatia.

This was my first international conference and the first time I had ever taken a flight, so I wrote a blog post for my departments PhD student blog. The post can be found here.

Data Assimilation and the Solar Wind.

2022-06-27T00:00:00+00:00

I wrote a short article for the Magnetosphere, Ionosphere and Solar-Terrestrial (MIST) groups ‘nugget’ page, briefly explaining the premise behind the solar wind data assimilation scheme.

The article can be found here.

Diagnosing solar wind forecast errors.

2021-08-13T00:00:00+00:00

This blog post was for my departments PhD student blog and the post looked at the work for my paper published in 2021.

The work was focussed around the forecast errors present in solar wind corotation forecasts, with the aim of this informing the solar wind data assimilation scheme used later in my PhD. The blog post can be found here.