I am a postdoctoral researcher in the Computational Ecology group, looking at general crop growth models, responses of crops to climate change and more generally trying to improve our understanding of crops and their future. My broader research interests include but are not limited to simple process-based models of the earth system, in particular the vegetation component and the use of space-based data to improve our understanding of earth processes. And of course, the link between the two in the form of model fitting and data assimilation.
I completed my PhD at the University of Edinburgh in the School of GeoSciences, working in the Tropospheric Chemistry and Earth Observation Modelling group. During this project I built a simple mechanistic model of leaf seasonality applicable for all vegetation types across the globe. I then continued my work in this group as a PDRA investigating regional greenhouse gas emissions using the GEOS-Chem atmospheric transport and chemistry model.
- Silvia Caldararu, Drew W. Purves, and Matthew J. Smith, Functional and Structural Optimality in Plant Growth: A Crop Modelling Case Study, 15 December 2014.
- S. Caldararu, D. W. Purves, and P.I. Palmer, Phenology as a strategy for carbon optimality: a global model, in Biogeosciences, vol. 11, 2014.
- Caldararu, S., Smith, M.J., Purves, D., Emmott, and S., Simulated crop yield in response to changes in climate and agricultural practices: results from a simple process based model, American Geophysical Union, 9 December 2013.
- Caldararu, S., Smith, M.J., Purves, and D., Biome vs. Species Traits: What Is the Best Scale for Phenology Models?, American Geophysical Union, 3 December 2012.
- S. Caldararu, P.I. Palmer, and D.W. Purves, Inferring Amazon leaf demography from satellite observations of leaf area index, in Biogeosciences, vol. 9, pp. 1389-1404, 2012.
Microsoft Research, 21 Station Road, Cambridge, CB1 2FB, UK
Email: sicaldar (at) microsoft (dot) com