Our People
Dr Natalie Douglas
Postdoctoral Research Assistant
Data Assimilation
Research interests
I am interested in Data Assimilation and Land Surface Models. I work on implementing 4DEnVar, a comparatively simple and cost effective data assimilation technique, with the Joint UK Land Environment Simulator (JULES).
Recent publications
Regularisation of the 4DEnVar Data Assimilation method for Calibration of Land Surface Models. 2026-03-23
DOI: https://doi.org/10.5194/egusphere-2026-132
Parameter Estimation in Land Surface Models: Challenges and Opportunities With Data Assimilation and Machine Learning. 2025-11
DOI: https://doi.org/10.1029/2024MS004733
Parameter estimation in land surface models: challenges and opportunities with data assimilation and machine learning. 2025-11
URI: https://centaur.reading.ac.uk/125433/
Towards the assimilation of atmospheric CO2 concentration data in a land surface model using adjoint-free variational methods. 2025-10-21
URI: https://centaur.reading.ac.uk/125426/
Towards the assimilation of atmospheric CO2 concentration data in a land surface model using adjoint-free variational methods. 2025-10-21
DOI: https://doi.org/10.5194/gmd-18-7501-2025
Calibrating primary crop parameters to capture undersown species impacts. 2025-08
URI: https://centaur.reading.ac.uk/122793/
Exploring a hybrid ensemble–variational data assimilation technique (4DEnVar) with a simple ecosystem carbon model. 2025-03
URI: https://reading-pure-test.eprints-hosting.org/121204/
Exploring a hybrid ensemble–variational data assimilation technique (4DEnVar) with a simple ecosystem carbon model. 2025-03
DOI: https://doi.org/10.1016/j.envsoft.2025.106361
A Two-Stream Observation Operator for Solar Induced Fluorescence in Land Surface Models.
DOI: https://doi.org/10.5194/egusphere-egu24-3833
Parameter Estimation in Land Surface Models: Challenges and Opportunities with Data Assimilation and Machine Learning.
DOI: https://doi.org/10.22541/essoar.172838640.01153603/v1
Towards a Digital Twin of the Carbon Cycle in Europe.
DOI: https://doi.org/10.5194/egusphere-egu23-15455
Towards the Assimilation of Atmospheric CO<sub>2</sub> Concentration Data in a Land Surface Model using Adjoint-free Variational Methods.
