معرفی
Natalie Douglas is a researcher at the University of Reading's Department of Meteorology, specializing in land surface data assimilation and ecosystem modeling. She collaborates with Prof Tristan Quaife and contributes to high-impact projects such as PRIMARY, IMITATE, and SIFMIP.
- Project: PRIMARY – Solar Induced Fluorescence informed estimates of Gross Primary Production
- Project: IMITATE – Introducing Machine Learning Into Targeted Analysis for Terrestrial Ecosystems
- Project: SIFMIP – Solar Induced Fluorescence Model Intercomparison Project
Her research focuses on improving carbon cycle estimates through models like JULES (Joint UK Land Environment Simulator) and integrating Earth observation datasets. Recent work explores hybrid data assimilation techniques and their application to ecosystem carbon modeling.
Key themes in her publications include crop parameter calibration, remote sensing, and machine learning in environmental analysis. Contact Natalie at n.douglas@reading.ac.uk for collaborations.
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