An essential component of the adaptation to climate change is the capacity of monitoring key terrestrial quantities associated with the water, energy, and carbon cycle (in particular CO2 and CH4 natural emissions).
This objective requires the development of core land data assimilation systems capable of ingesting a wide range of in situ and satellite data sources. Recently, the rapidly growing amount of new satellite data has fostered the development of new land products (vegetation variables, incoming radiation, soil moisture, evaporation) available at a global scale, at spatial resolutions ranging between 1km and 25km.
We welcome studies presenting the most recent advances in (1) the production of land surface biophysical variables from satellite observations, (2) their validation, and (3) their integration into land surface models using data assimilation techniques.
The latter may include applications related to the monitoring of terrestrial biosphere fluxes of energy, water, and carbon for timescales going from days to decades.