Quantifying and constraining terrestrial biosphere model uncertainty and global carbon dynamics via model-data integration

A large body of my research to date has been focused on reducing this uncertainty in terrestrial biosphere model projections of vegetation and carbon dynamics from site to global scales using statistical model-data integration, or data assimilation (DA), in combination with a wide range of data streams. These include eddy covariance net CO2 and latent heat (LE) flux measurements, chamber-based CH4 fluxes, atmospheric CO2 concentration data, biomass observations and satellite-derived FAPAR/NDVI and fluorescence data.

One focus of these efforts have been to assess how multiple different data streams can be combined in a data assimilation system to optimize parameters related to multiple model variables. This work is reflected and highlighted in the following papers:

A recent focus with collaborators Cédric Bacour and Fabienne Maignan at the LSCE has been on assessing how new satellite datasets of solar-induced chlorophyll fluorescence (SIF) to better constrain (reduce biases and improve uncertainties) model gross carbon uptake (or gross primary productivity – GPP). We have tested a simple approach to using SIF data in a model-data integration framework:

Our ongoing work involves the evaluating the consistency of different SIF products, and the continued development of the ORCHIDEE model to include a mechanistic description of the links between photosynthesis- and fluorescence-related processes.

All these studies have ultimately resulted in an improvement in the predicted land carbon sink as well as a reduction and better quantification of its uncertainty into the future. In addition, DA methods allow us to identify model processes that are not well represented or missing if there is still a misfit between the model and the data. As such, this work has led to my interest in improving the representation of coupled carbon-water-vegetation dynamics in semi-arid ecosystems in models.

 

This work was/is funded by:

  • MULTIPLY: a European Union H2020 project that will provide a platform for retrieval of multiscale land surface information from European Space Agency SENTINEL satellite data.
  • FLuOR (Fluorescence in ORCHIDEE): a French CNES (Centre National d’Etudes Spatiales) Space Agency TOSCA (Terre solide, Océan, Surfaces Continentales, Atmosphère) Programme project to develop, test and optimize a new fluorescence model in the ORCHIDEE terrestrial biosphere model.
  • ESA FLEX Bridge: a preparatory scientific study for Solar Induced Fluorescence retrieval from satellites and applications in assessment of photosynthesis and stress status in terrestrial vegetation. The final report contributed to the scientific basis leading to the selection of the FLEX satellite as the European Space Agency’s (ESA) 8th Earth Explorer mission.
  • CARBONES: European Union 7th Framework project aiming to provide a 30-year long re-analysis of carbon fluxes and pools over Europe and the globe, in form of a user-friendly on-line interface.
  • GEOCARBON: European Union 7th Framework project with the ultimate aim to lay the foundations for an operational Global Carbon Observing and Analysis System in support to both science and policy.
  • ExpeER: a major European Union Infrastructure project in the field of Ecosystem Research. ExpeER integrated existing national infrastructures to improve their research capacity whilst at the same time facilitating access to key experimental and observational platforms as well as analytical and modelling facilities for the benefit of the international research community.
  • UKPopNet: a UK Natural Environment Research Council (NERC) and English Nature funded project to study how changes in biodiversity will affect the sustainability of ecosystems, landscapes and livelihoods. Part of this work was focused on how to model and upscale CO2 and CH4 fluxes at an upland peatland site in Wales.