0000000001100815
AUTHOR
María Piles
Inferring causal relations from observational long-term carbon and water fluxes records
AbstractLand, atmosphere and climate interact constantly and at different spatial and temporal scales. In this paper we rely on causal discovery methods to infer spatial patterns of causal relations between several key variables of the carbon and water cycles: gross primary productivity, latent heat energy flux for evaporation, surface air temperature, precipitation, soil moisture and radiation. We introduce a methodology based on the convergent cross-mapping (CCM) technique. Despite its good performance in general, CCM is sensitive to (even moderate) noise levels and hyper-parameter selection. We present a robust CCM (RCCM) that relies on temporal bootstrapping decision scores and the deri…
Extraction Of Smos Soil Moisture And Ocean Salinity Main Features Across The Mediterranean Region Over The Last Decade
med 2018, 11-12 December 2018, Frascati, Rome, Italy