- ORCID iD
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0000-0001-6186-5751
- Bio (via ORCID)
- Climate change and population growth are great threats to society that join together in their impacts on hydrology: climate change affecting water availability, population growth increasing demand. This conjuncture has led to the rise of a new hydrological discipline, lying at the interface between conventional hydrology, plant ecology and climate science. This discipline, often referred to as climate hydrology, conceives hydrological systems as part of the Earth's global system, being impacted by anthropogenic climate and land-use change, as well as influencing a number of hydrometeorological extremes and land-atmospheric feedbacks. Current research within this new field aims at improving our understanding of the interactions between the hydrosphere, biosphere and atmosphere, with the overarching objective of enhancing our capacity to predict and adapt to ongoing Earth’s system changes. My scientific interests strive to that direction. They extend from the specific use of satellites to analyse soil-vegetation-atmosphere interactions to the general understanding of the global dynamics of the water cycle.
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- Journal Article
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- open access
Fast response of satellite fluorescence-derived plant physiology to drought stress
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- Journal Article
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- open access
Regional emergence of water-related browning in a greening world
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- Journal Article
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- open access
Observational evidence of compensatory influences of deforestation on downwind precipitation in Brazilian breadbaskets
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A call for integrated and cooperative global sharing of China’s Earth observation data
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- Journal Article
- A1
- open access
Observational evidence of increased afternoon rainfall downwind of irrigated areas
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- Journal Article
- A1
- open access
Warming accelerates global drought severity
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- Journal Article
- A1
- open access
Disentangling effects of vegetation structure and physiology on land–atmosphere coupling
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- Journal Article
- A1
- open access
Fuels mediate the influence of climate teleconnections on wildfires in dryland ecosystems
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Vegetation–climate feedbacks across scales
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- Journal Article
- A1
- open access
Global runoff partitioning based on Budyko‐constrained machine learning