Predictive and Geospatial Analytics

Subseasonal to seasonal predictability of extreme hydrometeorological and climate events 

We develop and use data sets, models, and information techniques to explore the possible sources of predictability of extreme hydrometeorological and climate events (EHCEs). We are particularly interested in sub-seasonal to seasonal lead-times. When our abilities to predict EHCEs remain constrained, we identify the potential effects of --for example-- droughts, floods, and heatwaves on particular systems at scales relevant for decision and policymaking..

Cross-scale resilience of (agro)ecosystems 

We are cognizant that humankind has developed abilities to overcome the effects of EHCEs and the occurrence of other unexpected phenomena. As in the built environment, resilient ecosystems tolerate disturbances without modifying their functionality. We study the scales at which ecological processess and structures vary. Using remote sensing products and land surface hydrology models, we look into the abilities of hydrological systems to withstand after the occurrence of floods or droughts. We formulate perceptual, conceptual and procedural modeling frameworks that help us identify and predict the spatial and temporal scales at which (agro)ecosystems resist transformation.

Diagnostics and prognosis of regime shifts 

On the other hand, when ecological processess and structures change, the ecosystem is transformed.


(Agro)ecosystems' abilities to adapt

Research in the US and Mexico