Jose Antonio Marengo Orsini

• Abstract

  Predicting the beginning and end dates of the rainy season is an essential, but challenging, aspect of water management in tropical regions. However, predictions of the timing of the rainy season are not yet formally integrated into water management planning. One of the main goals of the ongoing FAPESP project is to evaluate Brazil's vulnerability to climate change in the context of water…

  Improving water and food security in South America through the prediction of the timing of the rainy season, AP.R SPRINT

• Abstract

  These theoretical studies will be intimately connected with the investigation of experimental and natural dynamical networks of increasing complexity starting from a few coupled lasers, via hybrid networks of neurons to the system Earth. The latter one is a special challenge for the network theory and it will be a focus of this project. A main topic will be the understanding of the functi…

  Dynamic phenomena in complex networks: basics and applications, AP.TEM

• Abstract

  The onset of the Amazon rainy season has a large temporal and spatial variability, and with this a strong impact on variability of the distribution of aerosols, ecosystems, fire and carbon fluxes, dry season length, agriculture, and hydropower. Changes of the length of the dry season, and increased dry season resilience due to CO2 fertilization, are the two leading factors from climate ch…

  Understanding the causes of the biases that determine the onset of the rainy season in Amazonia in climate models using GoAmazon-CHUVA measurements, AP.R

(Only some records are available in English at this moment)