Harriet Turner

Harriet Turner

she/her

Space weather scientist at the UK Met Office.

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

Using solar wind data assimilation results to drive dynamic solar wind models.

Published in Space Weather, 2025

The work presented in this paper shows how solar wind data assimilation can be used to improve the WSA coronal model.

Recommended citation: Turner, H., Owens, M., Barnard, L., Lang, M., Henley, E., Bocquet, F. X., Gonzi, S., Arge, C. N., Biddiscombe, R., and Baratashvili, T. (2025). Using solar wind data assimilation results to drive dynamic solar wind models. Space Weather, 23. [DOI.](https://doi.org/10.1029/2025SW004559)
Download Paper

Implications of Using Spheroidal Cone Model CMEs in Solar-wind models.

Published in Space Weather, 2025

The work presented in this paper shows how fixing the duration of a CME at the model inner boundary can offer improvements over the traditional method of forecasting.

Recommended citation: Owens, M.J., Barnard, L.A., Verbeke, C., McGinness, B.P.S., Turner, H., Chi, Y., Gyeltshen, D., Lockwood, M. (2025). Implications of Using Spheroidal Cone Model CMEs in Solar-wind Models. Space Weather.
Download Paper

Adapting Ensemble-Calibration Techniques to Probabilistic Solar-Wind Forecasts.

Published in Space Weather, 2024

The work presented in this paper shows how ensemble calibration techniques, often used in terrestrial weather forecasting, can be applied to solar wind forecasting using MAS and HUXt.

Recommended citation: Edward-Inatimi, N. O., Owens, M. J., Barnard, L., Turner, H., Marsh, M., Gonzi, S., Lang, M., and Riley, P. (2024). Adapting Ensemble-Calibration Techniques to Probabilistic Solar-Wind Forecasts. Space Weather, 22. DOI: 10.1029/2024SW004164.
Download Paper

Causal Analysis of Influence of the Solar Cycle and Latitudinal Solar-Wind Structure on Corotation Forecasts.

Published in Solar Physics, 2023

This work uses a causal inference approach to investigate the impact of the solar-cycle and latitudinal solar-wind structure on solar wind corotation forecasts.

Recommended citation: Chakraborty, N., Turner, H., Owens, M., and Lang, M. (2023). Causal Analysis of Influence of the Solar Cycle and Latitudinal Solar-Wind Structure on Corotation Forecasts. Solar Physics, 298. DOI: 10.1007/s11207-023-02232-4.
Download Paper

MIST Reunited.

Published in Astronomy & Geophysics, 2023

Discussion of the Autumn MIST meeting in November 2022.

Recommended citation: Woodfield, E., Smith, A., Daggitt, T. and Turner, H. (2023). MIST Reunited. Astronomy & Geophysics, 64 (3). 3.30 - 3.33. ISSN 1468 - 4004. DOI: doi.org/10.1093/astrogeo/atad022.
Download Paper

Solar wind data assimilation in an operational context: Use of near-real-time data and the forecast value of an L5 monitor.

Published in Space Weather, 2023

Here, we show how near-real-time data can be used for more accurate solar wind forecast and the value that an L5 monitor can add to forecast skill.

Recommended citation: Turner, H., Lang, M., Owens, M., Smith, A., Riley, P., Marsh, M., and Gonzi, S. (2023). Solar wind data assimilation in an operational context: Use of near-real-time data and the forecast value of an L5 monitor. Space Weather, 21. DOI: 10.1029/2023SW003457)
Download Paper

Rate of Change of Large-Scale Solar-Wind Structure.

Published in Solar Physics, 2022

This work examines the variability of near-Earth in situ solar wind observations and observation-constrained solar wind simulations.

Recommended citation: Owens, M., Chakraborty, N., Turner, H., Lang, M., Riley, P., Lockwood, M., Barnard, L., and Chi, Y. (2022). Rate of Cahnge of Large-Scale Solar-Wind Structure. Solar Physics, 297. DOI: 10.1007/s11207-022-02006-4.
Download Paper

Quantifying the Effect of ICME Removal and Observation Age for in Situ Solar Wind Data Assimilation.

Published in Space Weather, 2022

The work presented here demonstrates how the removal of ICMEs from the solar wind time series and the age of the observations affects solar wind data assimilation.

Recommended citation: Turner, H., Owens, M., Lang, M., Gonzi, P., and Riley, P. (2022). Quantifying the effect of ICME removal and observation age for in situ solar wind data assimilation. Space Weather, 20. DOI: 10.1029/2022SW003109.
Download Paper

Improving Solar Wind Forecasting Using Data Assimilation.

Published in Space Weather, 2021

The work presented here shows initial investigations into using data assimilation to improve solar wind forecasts.

Recommended citation: Lang, M., Witherington, J., Turner, H., Owens, M., and Riley, P. (2021). Improving solar wind forecasting using data assimilation. Space Weather, 19. DOI: 10.1029/2020SW002698.
Download Paper